Research Highlights

IgNITE: Scheduling Pipeline-Parallel DNN Training Jobs on Heterogeneous Infrastructures, DEBS, 2025

Phivos Dadamis, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
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Trustworthy Scheduling for Big Data Applications, IEEE Big Data, 2025

Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
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Vertical Scaling Can Save Time: Optimizing Container Scheduling to Handle Sudden Bursts, DEBS, 2025

Aristotelis Peri, Michail Tsenos, Vana Kalogeraki
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Exploring GPU-Based Workload Scheduling Techniques for Edge Computing, IC2E, 2025

Michail Tsenos, Vana Kalogeraki
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STRATA: Random Forests going Serverless, Middleware, 2024

Dimitrios Tomaras, Sebastian Buschjäger, Vana Kalogeraki, Katharina Morik, Dimitrios Gunopulos
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Dynamic storage selection for mitigating tail latency in serverless pipelines, ACSOS, 2024

Michail Tsenos, Aristotelis Peri, Vana Kalogeraki
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Fault Tolerance Enhancements for Redundancy Conversion with Diagonally Interleaved Coding, EDCC 2026

Ioannis Tzouros, Vana Kalogeraki

AutoFairML: An Automated Middleware for Fairness Auditing in Real-world AI Pipelines, ICDCS 2025

Dimitrios Tomaras, Vana Kalogeraki, Christos Varytimidis, Evangelos Anagnostopoulos, Rahul Nair, Elizabeth M. Daly, Jakub Marecek and Dimitrios Gunopulos
Link

RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale

Phivos Dadamis, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos