{"id":363,"date":"2016-10-29T20:54:34","date_gmt":"2016-10-29T20:54:34","guid":{"rendered":"http:\/\/rtds.aueb.gr\/?page_id=363"},"modified":"2016-10-30T12:13:06","modified_gmt":"2016-10-30T12:13:06","slug":"distributed-systems","status":"publish","type":"page","link":"http:\/\/rtds.aueb.gr\/index.php\/publications\/by-research-interest\/distributed-systems\/","title":{"rendered":"Distributed Systems"},"content":{"rendered":"<div class=\"pt-cv-wrapper\"><div class=\"pt-cv-view pt-cv-collapsible\" id=\"pt-cv-view-7e48913n70\"><div data-id=\"pt-cv-page-1\" class=\"pt-cv-page\" data-cvc=\"1\"><div class=\"panel-group\" id=\"fb0c0a0bjh\"><div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#a89aa65a7x\" href='http:\/\/rtds.aueb.gr\/index.php\/2023\/11\/09\/dynamic-rate-control-for-topic-based-pub-sub-systems-22nd-ieee-international-conference-on-mobile-data-management-mdm-2021\/' onclick='event.preventDefault()'>\r\n\t\tDynamic Rate Control for Topic-based Pub\/Sub Systems, 22nd IEEE International Conference on Mobile Data Management MDM, 2021\t<\/a>\r\n\t<\/div>\r\n<div id=\"a89aa65a7x\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Michalis Tsenos, Vana Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9474848\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#5f05e410yd\" href='http:\/\/rtds.aueb.gr\/index.php\/2023\/11\/09\/portable-intermediate-representation-for-efficient-big-data-analytics-21st-ifip-wg-distributed-applications-and-interoperable-systems-2021\/' onclick='event.preventDefault()'>\r\n\t\tPortable Intermediate Representation for Efficient Big Data Analytics, 21st IFIP WG Distributed Applications and Interoperable Systems, 2021\t<\/a>\r\n\t<\/div>\r\n<div id=\"5f05e410yd\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Giannis Tzouros, Michail Tsenos, Vana Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-030-78198-9_5\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#1ea728akfo\" href='http:\/\/rtds.aueb.gr\/index.php\/2023\/11\/09\/cherry-a-distributed-task-aware-shuffle-service-for-serverless-analytics-ieee-international-conference-on-big-data-big-data-2021\/' onclick='event.preventDefault()'>\r\n\t\tCherry: A Distributed Task-Aware Shuffle Service for Serverless Analytics, IEEE International Conference on Big Data (Big Data), 2021\t<\/a>\r\n\t<\/div>\r\n<div id=\"1ea728akfo\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Nikolaos Nikitas, Ioannis Konstantinou, Vana Kalogeraki, Nectarios Koziris <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9671899\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#4a19c5e5kg\" href='http:\/\/rtds.aueb.gr\/index.php\/2023\/11\/09\/a-framework-for-supporting-privacy-preservation-functions-in-a-mobile-cloud-environment-23rd-ieee-international-conference-on-mobile-data-management-mdm-2022\/' onclick='event.preventDefault()'>\r\n\t\tA Framework for Supporting Privacy Preservation Functions in a Mobile Cloud Environment, 23rd IEEE International Conference on Mobile Data Management MDM, 2022\t<\/a>\r\n\t<\/div>\r\n<div id=\"4a19c5e5kg\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9861146\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#93d6b3fbd4\" href='http:\/\/rtds.aueb.gr\/index.php\/2023\/11\/09\/practical-privacy-preservation-in-a-mobile-cloud-environment-23rd-ieee-international-conference-on-mobile-data-management-2022\/' onclick='event.preventDefault()'>\r\n\t\tPractical Privacy Preservation in a Mobile Cloud Environment, 23rd IEEE International Conference on Mobile Data Management MDM, 2022\t<\/a>\r\n\t<\/div>\r\n<div id=\"93d6b3fbd4\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9861184\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#ea99afewg4\" href='http:\/\/rtds.aueb.gr\/index.php\/2023\/11\/09\/amesos-a-scalable-and-elastic-framework-for-latency-sensitive-streaming-pipelines-16th-acm-international-conference-on-distributed-and-event-based-systems-debs-2022\/' onclick='event.preventDefault()'>\r\n\t\tAMESoS: a scalable and elastic framework for latency sensitive streaming pipelines, 16th ACM International Conference on Distributed and Event-based  Systems DEBS, 2022\t<\/a>\r\n\t<\/div>\r\n<div id=\"ea99afewg4\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Michail Tsenos, Aristotelis Peri, Vana Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3524860.3539642\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#efe4f9b2sl\" href='http:\/\/rtds.aueb.gr\/index.php\/2023\/11\/09\/an-elastic-and-scalable-topic-based-pub-sub-system-using-deep-reinforcement-learning-ifip-international-conference-on-distributed-applications-and-interoperable-systems-dais-2022\/' onclick='event.preventDefault()'>\r\n\t\tAn Elastic and Scalable Topic-Based Pub\/Sub System Using Deep Reinforcement Learning, IFIP International Conference on Distributed Applications and Interoperable Systems DAIS, 2022,\t<\/a>\r\n\t<\/div>\r\n<div id=\"efe4f9b2sl\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Thanos Giannakopoulos, Vana Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-031-16092-9_11\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#08fdf0evu1\" href='http:\/\/rtds.aueb.gr\/index.php\/2021\/08\/01\/dynamic-rate-control-in-the-kafka-system-24th-pan-hellenic-conference-on-informatics-2020\/' onclick='event.preventDefault()'>\r\n\t\tDynamic Rate Control in the Kafka System, 24th Pan-Hellenic Conference on Informatics, 2020\t<\/a>\r\n\t<\/div>\r\n<div id=\"08fdf0evu1\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>M Tsenos, N Zacheilas, V Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3437120.3437283\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" 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href='http:\/\/rtds.aueb.gr\/index.php\/2021\/08\/01\/a-framework-for-managing-an-elastic-redis-cache-2019-38th-symposium-on-reliable-distributed-systems-srds-363-3632-2019\/' onclick='event.preventDefault()'>\r\n\t\tA Framework for Managing an Elastic Redis Cache, 2019 38th Symposium on Reliable Distributed Systems (SRDS), 363-3632, 2019\t<\/a>\r\n\t<\/div>\r\n<div id=\"e923baf701\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>T Priovolos, S Maroulis, V Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/9049630\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#55a6441mtp\" 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data-parent=\"#fb0c0a0bjh\" data-target=\"#bde7356yo3\" href='http:\/\/rtds.aueb.gr\/index.php\/2021\/08\/01\/fast-efficient-performance-predictions-for-big-data-applications-2019-ieee-22nd-international-symposium-on-real-time-distributed-computing-isorc\/' onclick='event.preventDefault()'>\r\n\t\tFast. efficient performance predictions for big data applications, 2019 IEEE 22nd International Symposium on Real-Time Distributed Computing (ISORC)\t<\/a>\r\n\t<\/div>\r\n<div id=\"bde7356yo3\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>S Maroulis, N Zacheilas, T Theocharis, V Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8759325\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" 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data-parent=\"#fb0c0a0bjh\" data-target=\"#496cc66ldv\" href='http:\/\/rtds.aueb.gr\/index.php\/2021\/08\/01\/on-the-fly-load-balancing-to-address-hot-topics-in-topic-based-pub-sub-systems-2018-ieee-38th-international-conference-on-distributed-computing-systems\/' onclick='event.preventDefault()'>\r\n\t\tOn the fly load balancing to address hot topics in topic-based pub\/sub systems, 2018 IEEE 38th International Conference on Distributed Computing Systems\t<\/a>\r\n\t<\/div>\r\n<div id=\"496cc66ldv\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>D Dedousis, N Zacheilas, V Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8416281\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#a01870e6nh\" href='http:\/\/rtds.aueb.gr\/index.php\/2021\/08\/01\/orion-online-resource-negotiator-for-multiple-big-data-analytics-frameworks-2018-ieee-international-conference-on-autonomic-computing-icac\/' onclick='event.preventDefault()'>\r\n\t\tOrion: Online resource negotiator for multiple big data analytics frameworks, 2018 IEEE International Conference on Autonomic Computing (ICAC)\t<\/a>\r\n\t<\/div>\r\n<div id=\"a01870e6nh\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>N Zacheilas, N Chalvantzis, I Konstantinou, V Kalogeraki, N Koziris \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8498122\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" 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data-parent=\"#fb0c0a0bjh\" data-target=\"#1033742udj\" href='http:\/\/rtds.aueb.gr\/index.php\/2021\/08\/01\/low-rank-methods-in-event-detection-arxiv-preprint-arxiv1802-03649-3-2018\/' onclick='event.preventDefault()'>\r\n\t\tLow-rank methods in event detection, arXiv preprint arXiv:1802.03649, 3, 2018\t<\/a>\r\n\t<\/div>\r\n<div id=\"1033742udj\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>J Marecek, S Maroulis, V Kalogeraki, D Gunopulos \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/arxiv.org\/abs\/1802.03649\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#b77ed4bw1o\" href='http:\/\/rtds.aueb.gr\/index.php\/2017\/07\/12\/a-pareto-based-scheduler-for-exploring-cost-performance-trade-offs-for-mapreduce-workloads-eurasip-journal-on-embedded-systems-july-3-2017\/' onclick='event.preventDefault()'>\r\n\t\tA Pareto-based scheduler for exploring cost-performance trade-offs for MapReduce workloads, EURASIP Journal on Embedded Systems, July 3, 2017\t<\/a>\r\n\t<\/div>\r\n<div id=\"b77ed4bw1o\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Nikos Zacheilas, Vana Kalogeraki\n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/link.springer.com\/article\/10.1186\/s13639-017-0077-7\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#6ba2162c74\" href='http:\/\/rtds.aueb.gr\/index.php\/2017\/07\/12\/express-energy-efficient-scheduling-of-mixed-stream-and-batch-processing-workloads-ieee-international-conference-on-autonomic-computing-icac-columbus-ohio-usa-july-17-21-2017\/' onclick='event.preventDefault()'>\r\n\t\tExpREsS: EneRgy Efficient Scheduling of Mixed Stream and Batch Processing Workloads, IEEE International Conference on Autonomic Computing (ICAC), Columbus, Ohio, USA, July 17 &#8211; 21, 2017\t<\/a>\r\n\t<\/div>\r\n<div id=\"6ba2162c74\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Maroulis Stathis, Zacheilas Nikos, Vana Kalogeraki \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/8005324\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#bf09d84d4v\" href='http:\/\/rtds.aueb.gr\/index.php\/2017\/07\/12\/maximizing-determinism-in-stream-processing-under-latency-constraints-acm-international-conference-on-distributed-and-event%e2%80%90based-systems-debs-barcelona-spain-june-19-23-2017\/' onclick='event.preventDefault()'>\r\n\t\tMaximizing Determinism in Stream Processing Under Latency Constraints, ACM International Conference on Distributed and Event\u2010based Systems (DEBS), Barcelona, Spain, June 19 &#8211; 23, 2017\t<\/a>\r\n\t<\/div>\r\n<div id=\"bf09d84d4v\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Zacheilas Nikos, Vana Kalogeraki, Yiannis Nikolakopoulos, Vincenzo Gulisano, Marina Papatriantafilou, Philippas Tsigas \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3093742.3093921\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#f8827e4ybt\" href='http:\/\/rtds.aueb.gr\/index.php\/2017\/07\/12\/disco-dynamic-data-compression-in-distributed-stream-processing-systems-distributed-applications-and-interoperable-systems-dais-neuchatel-switzerland-june-19-22-2017\/' onclick='event.preventDefault()'>\r\n\t\tDIsCO: DynamIc Data COmpression in Distributed Stream Processing Systems, Distributed Applications and Interoperable Systems (DAIS), Neuch\u00e2tel, Switzerland, June 19 &#8211; 22,  2017\t<\/a>\r\n\t<\/div>\r\n<div id=\"f8827e4ybt\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Zacheilas Nikos, Vana Kalogeraki \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-59665-5_2\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#11fe095vzp\" href='http:\/\/rtds.aueb.gr\/index.php\/2017\/07\/12\/a-framework-for-efficient-energy-scheduling-of-spark-workloads-ieee-international-conference-on-distributed-computing-systems-icdcs-atlanta-ga-usa-june-5-8-2017\/' onclick='event.preventDefault()'>\r\n\t\tA Framework for Efficient Energy Scheduling of Spark Workloads, IEEE International Conference on Distributed Computing Systems (ICDCS), Atlanta, GA, USA, June 5 &#8211; 8, 2017\t<\/a>\r\n\t<\/div>\r\n<div id=\"11fe095vzp\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Maroulis Stathis, Zacheilas Nikos, Vana Kalogeraki <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/7980254\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#0f04afel8q\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/31\/pareto-based-scheduling-of-mapreduce-workloads\/' onclick='event.preventDefault()'>\r\n\t\tPareto-Based Scheduling of MapReduce Workloads, ISORC, York, UK, May 17-20, 2016\t<\/a>\r\n\t<\/div>\r\n<div id=\"0f04afel8q\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Nikos Zacheilas, Vana Kalogeraki\n\n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/7515626\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#9b14c200to\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/31\/dynamic-load-balancing-techniques-for-distributed-complex-event-processing-systems\/' onclick='event.preventDefault()'>\r\n\t\tDynamic Load Balancing Techniques for Distributed Complex Event Processing Systems, DAIS, Heraklion, Crete, Greece, June 6-9, 2016\t<\/a>\r\n\t<\/div>\r\n<div id=\"9b14c200to\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Nikos Zacheilas, Nikolas Zygouras, Nikolaos Panagiotou, Vana Kalogeraki, Dimitrios Gunopulos <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/dl.acm.org\/doi\/10.1007\/978-3-319-39577-7_14\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#0f9e146d6y\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/31\/chess-cost-effective-scheduling-across-multiple-heterogeneous-mapreduce-clusters\/' onclick='event.preventDefault()'>\r\n\t\tChEsS: Cost-Effective Scheduling across multiple heterogeneous mapreduce clusters, ICAC, Wurzburg, Germany, 18-22 July 2016\t<\/a>\r\n\t<\/div>\r\n<div id=\"0f9e146d6y\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Nikos Zacheilas, Vana Kalogeraki \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/7573117\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#af7d75567x\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/finding-the-k-highest-ranked-answers-in-a-distributed-network\/' onclick='event.preventDefault()'>\r\n\t\tFinding the K highest-ranked answers in a distributed network\t<\/a>\r\n\t<\/div>\r\n<div id=\"af7d75567x\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Demetrios Zeinalipour-Yazti, Zografoula Vagena, Vana Kalogeraki, Dimitrios Gunopulos, Vassilis J Tsotras, Michail Vlachos, Nick Koudas, Divesh Srivastava \n\n <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1389128609000139\" target=\"view_window\">Link\n<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#d1fadff15h\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/qos-aware-shared-component-composition-for-distributed-stream-processing-systems\/' onclick='event.preventDefault()'>\r\n\t\tQoS-aware shared component composition for distributed stream processing systems\t<\/a>\r\n\t<\/div>\r\n<div id=\"d1fadff15h\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Thomas Repantis, Xiaohui Gu, Vana Kalogeraki \n\n <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/4620109?isnumber=5061461&amp;arnumber=4620109\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#bf564fa2mu\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/a-topologically-aware-overlay-tree-for-efficient-and-low-latency-media-streaming\/' onclick='event.preventDefault()'>\r\n\t\tA topologically-aware overlay tree for efficient and low-latency media streaming\t<\/a>\r\n\t<\/div>\r\n<div id=\"bf564fa2mu\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Paris Carbone, Vana Kalogeraki \n\n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-10625-5_24.pdf\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#3338212tl6\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/the-realize-middleware-for-replication-and-resource-management\/' onclick='event.preventDefault()'>\r\n\t\tThe Realize middleware for replication and resource management\t<\/a>\r\n\t<\/div>\r\n<div id=\"3338212tl6\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>PM Melliar-Smith, LE Moser, V Kalogeraki, P Narasimhan \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/dl.acm.org\/doi\/10.5555\/1659232.1659243\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#afa8f7eivc\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/distributed-information-retrieval-in-peer-to-peer-networks\/' onclick='event.preventDefault()'>\r\n\t\tDistributed information retrieval in peer-to-peer networks\t<\/a>\r\n\t<\/div>\r\n<div id=\"afa8f7eivc\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Vana Kalogeraki, Dimitrios Gunopulos \n\n <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/patents.google.com\/patent\/US7743044B1\/en\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#a5b5821e96\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/misco-a-mapreduce-framework-for-mobile-systems\/' onclick='event.preventDefault()'>\r\n\t\tMisco: a mapreduce framework for mobile systems\t<\/a>\r\n\t<\/div>\r\n<div id=\"a5b5821e96\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Adam Dou, Vana Kalogeraki, Dimitrios Gunopulos, Taneli Mielikainen, Ville H Tuulos \n\n <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/1839294.1839332\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#0e96db2b9s\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/traffic-management-in-sensor-networks-with-a-mobile-sink\/' onclick='event.preventDefault()'>\r\n\t\tTraffic management in sensor networks with a mobile sink\t<\/a>\r\n\t<\/div>\r\n<div id=\"0e96db2b9s\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Kyriakos Karenos, Vana Kalogeraki \n\n <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/5374391\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#80a00a0jq3\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/overlay-routing-under-geographically-correlated-failures-in-distributed-event-based-systems\/' onclick='event.preventDefault()'>\r\n\t\tOverlay routing under geographically correlated failures in distributed event-based systems\t<\/a>\r\n\t<\/div>\r\n<div id=\"80a00a0jq3\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Kyriakos Karenos, Dimitrios Pendarakis, Vana Kalogeraki, Hao Yang, Zhen Liu \n <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-16949-6_7\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#3bde2dd05y\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/efficient-stream-processing-in-the-cloud\/' onclick='event.preventDefault()'>\r\n\t\tEfficient stream processing in the cloud\t<\/a>\r\n\t<\/div>\r\n<div id=\"3bde2dd05y\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Dung Vu, Vana Kalogeraki, Yannis Drougas \n\n <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-642-29222-4_19\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#bb95415ae6\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/fact-a-framework-for-adaptive-contention-aware-thread-migrations\/' onclick='event.preventDefault()'>\r\n\t\tFACT: a framework for adaptive contention-aware thread migrations\t<\/a>\r\n\t<\/div>\r\n<div id=\"bb95415ae6\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Kishore Kumar Pusukuri, David Vengerov, Alexandra Fedorova, Vana Kalogeraki \n\n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/dl.acm.org\/doi\/10.1145\/2016604.2016647\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#4404bfd47e\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/consistent-replication-in-distributed-multi-tier-architectures\/' onclick='event.preventDefault()'>\r\n\t\tConsistent replication in distributed multi-tier architectures\t<\/a>\r\n\t<\/div>\r\n<div id=\"4404bfd47e\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Thomas Repantis, Arun Iyengar, Vana Kalogeraki, Isabelle Rouvellou \n\n <br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/6144794\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#14d53c7xny\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/a-mobile-platform-for-managing-mobile-mapreduce-participatory-sensing-data\/' onclick='event.preventDefault()'>\r\n\t\tA mobile platform for managing mobile mapreduce participatory sensing data\t<\/a>\r\n\t<\/div>\r\n<div id=\"14d53c7xny\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Theofilos Kakantousis, Vana Kalogeraki \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/ieeexplore.ieee.org\/document\/6305281\" target=\"view_window\">Read here<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#dccf701iez\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/self-adaptive-event-recognition-for-intelligent-transport-management\/' onclick='event.preventDefault()'>\r\n\t\tSelf-adaptive event recognition for intelligent transport management\t<\/a>\r\n\t<\/div>\r\n<div id=\"dccf701iez\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Alexander Artikis, Matthias Weidlich, Avigdor Gal, Vana Kalogeraki, Dimitrios Gunopulos <br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/artikis-bg-1.pdf\" target=\"_self\">PDF<\/a>  <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/artikis-bg-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#de4743c80c\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/a-soft-real-time-agent-based-peer-to-peer\/' onclick='event.preventDefault()'>\r\n\t\tA Soft Real-Time Agent-based Peer-to-Peer\t<\/a>\r\n\t<\/div>\r\n<div id=\"de4743c80c\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Fang Chen, Vana Kalogeraki \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-540-44999-7_47\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#564f6aa82e\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/intelligent-synthesis-and-real-time-response-using-massive-streaming-of-heterogeneous-data-insight-and-its-anticipated-effect-on-intelligent-transport-systems-its-in-dublin-city-ireland\/' onclick='event.preventDefault()'>\r\n\t\tIntelligent synthesis and real-time response using massive streaming of heterogeneous data (insight) and its anticipated effect on intelligent transport systems (its) in Dublin city, Ireland\t<\/a>\r\n\t<\/div>\r\n<div id=\"564f6aa82e\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Dermot Kinane, Fran\u00e7ois Schnitzler, Shie Mannor, Thomas Liebig, Katharina Morik, Jakub Marecek, Bernard Gorman, Nikolaos Zygouras, Yannis Katakis, Vana Kalogeraki, Dimitrios Gunopulos \n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/www.researchgate.net\/publication\/271191864_Intelligent_Synthesis_and_Real-time_Response_using_Massive_Streaming_of_Heterogeneous_Data_INSIGHT_and_its_anticipated_effect_on_Intelligent_Transport_Systems_ITS_in_Dublin_City_Ireland\/link\/55814bef08ae47061e5f57d5\/download?_tp=eyJjb250ZXh0Ijp7InBhZ2UiOiJwdWJsaWNhdGlvbiIsInByZXZpb3VzUGFnZSI6bnVsbH19\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#e55f40d6av\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/real-time-data-dissemination-in-mobile-peer-to-peer-networks\/' onclick='event.preventDefault()'>\r\n\t\tReal-time data dissemination in mobile peer-to-peer networks\t<\/a>\r\n\t<\/div>\r\n<div id=\"e55f40d6av\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Fotis Loukos, Helen Karatza, Vana Kalogeraki \n\n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0164121213002884\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#33a83efqwx\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/30\/defining-a-mobile-architecture-for-structural-health-monitoring\/' onclick='event.preventDefault()'>\r\n\t\tDefining a mobile architecture for structural health monitoring, PETRA, Rhodes, Greece, May27-30, 2014\t<\/a>\r\n\t<\/div>\r\n<div id=\"33a83efqwx\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\">\n<p>Panos Sakkos, Dimitrios Kotsakos, Vana Kalogeraki, Dimitrios Gunopulos, Jaakko Hollm\u00e9n \n\n<br \/> <strong><a rel=\"noopener\" href=\"https:\/\/www.researchgate.net\/publication\/289064119_Defining_a_mobile_architecture_for_structural_health_monitoring\" target=\"view_window\">Link<\/a> <\/strong><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#93c8a3aozm\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/16\/elastic-complex-event-processing-exploiting-prediction\/' onclick='event.preventDefault()'>\r\n\t\tElastic complex event processing exploiting prediction, IEEE International Conference on Big Data, Santa Clara, CA, USA, October 29-November 1, 2015\t<\/a>\r\n\t<\/div>\r\n<div id=\"93c8a3aozm\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Nikos Zacheilas, Vana Kalogeraki, Nikolas Zygouras, Nikolaos Panagiotou, Dimitrios Gunopulos<br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/big_data_2015-1.pdf\" target=\"_self\">PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/big_data_2015-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#4d028ddem7\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/16\/dynamic-reduce-task-adjustment-for-hadoop-workloads\/' onclick='event.preventDefault()'>\r\n\t\tDynamic reduce task adjustment for hadoop workloads, Panhellenic Conference on Informatics, Athens, Greece, 1-3 October 2015\t<\/a>\r\n\t<\/div>\r\n<div id=\"4d028ddem7\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Vaggelis Antypas, Nikos Zacheilas, Vana Kalogeraki<br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/p203-antypas-1.pdf\" target=\"_self\">Paper in PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/p203-antypas-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#5c517dek0u\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/16\/a-framework-for-cost-effective-scheduling-of-mapreduce-applications\/' onclick='event.preventDefault()'>\r\n\t\tA Framework for Cost-Effective Scheduling of MapReduce Applications,IEEE International Conference on Autonomic Computing (ICAC), Grenoble, France, July 7-10, 2015\t<\/a>\r\n\t<\/div>\r\n<div id=\"5c517dek0u\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Nikos Zacheilas, Vana Kalogeraki<br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/icac_2015-1.pdf\" target=\"_self\">PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/icac_2015-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#3324439cl8\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/16\/insights-on-a-scalable-and-dynamic-traffic-management-system\/' onclick='event.preventDefault()'>\r\n\t\tInsights on a Scalable and Dynamic Traffic Management System, EDBT, Brussels, Belgium, March 23-27, 2015\t<\/a>\r\n\t<\/div>\r\n<div id=\"3324439cl8\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Nikolaos Zygouras, Nikos Zacheilas, Vana Kalogeraki, Dermot Kinane, Dimitrios Gunopulos<br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/edbt_2015-1.pdf\" target=\"_self\">PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/edbt_2015-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#98a7cfah95\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/16\/on-task-assignment-for-real-time-reliable-crowdsourcing\/' onclick='event.preventDefault()'>\r\n\t\tOn task assignment for real-time reliable crowdsourcing, ICDCS, Madrid Spain,June 30-3rd July,2014\t<\/a>\r\n\t<\/div>\r\n<div id=\"98a7cfah95\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Ioannis Boutsis, Vana Kalogeraki<br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/icdcs2014-1.pdf\" target=\"_self\">Paper in PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/icdcs2014-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#4ad7da4g2x\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/16\/heterogeneous-stream-processing-and-crowdsourcing-for-urban-traffic-management\/' onclick='event.preventDefault()'>\r\n\t\tHeterogeneous Stream Processing and Crowdsourcing for Urban Traffic Management, EDBT, Athens, Greece, March 24-28, 2014\t<\/a>\r\n\t<\/div>\r\n<div id=\"4ad7da4g2x\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Alexander Artikis, Matthias Weidlich, Francois Schnitzler, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dimitrios Gunopulos, Dermot Kinane<br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/EDBT14-1.pdf\" target=\"_self\">Paper in PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/EDBT14-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#d2735baa8t\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/16\/real-time-scheduling-of-skewed-mapreduce-jobs-in-heterogeneous-environments\/' onclick='event.preventDefault()'>\r\n\t\tReal-time scheduling of skewed mapreduce jobs in heterogeneous environments, ICAC, Philadelphia, PA, USA, June 18-20, 2014\t<\/a>\r\n\t<\/div>\r\n<div id=\"d2735baa8t\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Nikos Zaheilas, Vana Kalogeraki<br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/icac_2014-1.pdf\" target=\"_self\">PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/icac_2014-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#1954450zhx\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/15\/an-architecture-for-detecting-events-in-real-time-using-massive-heterogeneous-data-sources\/' onclick='event.preventDefault()'>\r\n\t\tAn architecture for detecting events in real-time using massive heterogeneous data sources\t<\/a>\r\n\t<\/div>\r\n<div id=\"1954450zhx\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>George Valkanas, Dimitrios Gunopulos, Ioannis Boutsis, Vana Kalogeraki, Proceedings of the 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine), Chicago, Illinois, USA, 2013 <br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/dbb6c3f8659729803cc08758d5f8b9376364-1.pdf\" target=\"_self\">PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/dbb6c3f8659729803cc08758d5f8b9376364-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#2bdfe3f0ae\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/15\/resource-management-using-pattern-based-prediction-to-address-bursty-data-streams\/' onclick='event.preventDefault()'>\r\n\t\tResource Management using Pattern-based Prediction to Address Bursty Data Streams\t<\/a>\r\n\t<\/div>\r\n<div id=\"2bdfe3f0ae\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Ioannis Boutsis, Vana Kalogeraki, 16th IEEE Computer Society symposium on object\/component\/service-oriented realtime distributed computing (ISORC), Paderborn, Germany, 2013 <br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/isorc2013-1.pdf\" target=\"_self\">PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/isorc2013-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#f390399m12\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/15\/mobile-stream-sampling-under-time-constraints\/' onclick='event.preventDefault()'>\r\n\t\tMobile Stream Sampling under Time Constraints\t<\/a>\r\n\t<\/div>\r\n<div id=\"f390399m12\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Ioannis Boutsis, Vana Kalogeraki, 14th International Conference on Mobile Data Management(MDM), Milan, Italy, 2013 <br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/boutsis2013mdm-1.pdf\" target=\"_self\">PDF<\/a> <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/boutsis2013mdm-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#bbb195fn7e\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/15\/radar-adaptive-rate-allocation-in-distributed-stream-processing-systems-under-bursty-workloads\/' onclick='event.preventDefault()'>\r\n\t\tRADAR: Adaptive Rate Allocation in Distributed Stream Processing Systems under Bursty Workloads\t<\/a>\r\n\t<\/div>\r\n<div id=\"bbb195fn7e\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Ioannis Boutsis, Vana Kalogeraki, 31st IEEE International Symposium on Reliable Distributed Systems (SRDS), Irvine, California, 2012 <br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/srds2012-1.pdf\" target=\"_self\">Paper in PDF<\/a>  <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/srds2012-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div>\n<div class=\"panel panel-default pt-cv-content-item pt-cv-1-col\" >\r\n<div class=\"panel-heading\">\r\n    <a class=\"panel-title\" data-toggle=\"cvcollapse\" data-parent=\"#fb0c0a0bjh\" data-target=\"#ca9e9d3k3v\" href='http:\/\/rtds.aueb.gr\/index.php\/2016\/10\/15\/misco-a-system-for-data-analysis-applications-on-networks-of-smartphones-using-mapreduce\/' onclick='event.preventDefault()'>\r\n\t\tMisco: A System for Data Analysis Applications on Networks of Smartphones using MapReduce\t<\/a>\r\n\t<\/div>\r\n<div id=\"ca9e9d3k3v\" class=\"panel-collapse collapse \">\r\n\t<div class=\"panel-body\">\r\n\t\t<div class=\"pt-cv-content\"><p>Theofilos Kakantousis, Ioannis Boutsis, Vana Kalogeraki, Dimitrios Gunopulos, Giorgos Gasparis, Adam Dou, 13th International Conference on Mobile Data Management (MDM), Bengaluru, India, 2012 <br \/>\n<img src=\"http:\/\/rtds.aueb.gr\/wp-content\/plugins\/custom-post-type-pdf-attachment\/images\/pdf.png\" class=\"cpt-file-icon\"\/> <a href=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/mdm2012-1.pdf\" target=\"_self\">PDF<\/a>  <br \/>\n<iframe src=\"http:\/\/rtds.aueb.gr\/wp-content\/uploads\/2016\/10\/mdm2012-1.pdf\" width=\"800px\" height=\"600px\"><\/iframe><\/p>\n<\/div>\t<\/div>\r\n<\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":350,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/pages\/363"}],"collection":[{"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/comments?post=363"}],"version-history":[{"count":2,"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/pages\/363\/revisions"}],"predecessor-version":[{"id":508,"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/pages\/363\/revisions\/508"}],"up":[{"embeddable":true,"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/pages\/350"}],"wp:attachment":[{"href":"http:\/\/rtds.aueb.gr\/index.php\/wp-json\/wp\/v2\/media?parent=363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}