activity
20192026
most citedDuet Benchmarking: Improving Measurement Accuracy in the Cloud

19 citations · 20 across the 4 of their papers we have counts for

collaborators

5 papers

cs.PL2026

Misleading Microbenchmarks on the Java Virtual Machines

Filippo Schiavio, Lubomír Bulej, Walter Binder

Developers often use microbenchmarks to choose the most performant implementation of a method or a class. On the Java Virtual Machine (JVM), this is commonly done using the Java Mi…

cs.PL2026

MapReplay: Trace-Driven Benchmark Generation for Java HashMap

Filippo Schiavio, Andrea Rosà, Júnior Löff +3

Hash-based maps, particularly java.util.HashMap, are pervasive in Java applications and the JVM, making their performance critical. Evaluating optimizations is challenging because…

cs.DC2020

Managing Latency in Edge-Cloud Environment

Lubomír Bulej, Tomáš Bureš, Adam Filandr +5

Modern Cyber-physical Systems (CPS) include applications like smart traffic, smart agriculture, smart power grid, etc. Commonly, these systems are distributed and composed of end-u…

cs.PF2020★ 19 cited

Duet Benchmarking: Improving Measurement Accuracy in the Cloud

Lubomír Bulej, Vojtěch Horký, Petr Tůma +2

We investigate the duet measurement procedure, which helps improve the accuracy of performance comparison experiments conducted on shared machines by executing the measured artifac…

cs.PL2019★ 1 cited

On Evaluating the Renaissance Benchmarking Suite: Variety, Performance, and Complexity

Aleksandar Prokopec, Andrea Rosà, David Leopoldseder +9

The recently proposed Renaissance suite is composed of modern, real-world, concurrent, and object-oriented workloads that exercise various concurrency primitives of the JVM. Renais…