Towards an Efficient Benchmark Generation Engine for Garbage Collection
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|Title:||Towards an Efficient Benchmark Generation Engine for Garbage Collection||Authors:||Portillo Dominguez, Andres Omar||Permanent link:||http://hdl.handle.net/10197/9959||Date:||13-Apr-2018||Online since:||2019-04-16T07:39:19Z||Abstract:||Garbage Collection (GC) is a key feature of many modern programming technologies. It offers significant software engineering benefits over explicitly memory management. Nonetheless, it is also a major cause of performance degradation. As the rate of adoption of GC-related technologies continues to grow, it is highly relevant to understand its performance impact. However, this is challenging due to the non-deterministic nature of GC. To tackle this problem, we present an engine (HERMES) to create realistic GC benchmarks by effectively capturing the GC/memory behaviours exhibited by real-world Java applications. Our experiments prove how HERMES can be useful to strengthen the evaluation of GC-related advancements. This is achieved by broadening the number and diversity of the test scenarios, as well as reducing the time invested in testing.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||ACM||Copyright (published version):||2018 ACM||Keywords:||Garbage collection; Benchmark generation; Java; Object-oriented systems||DOI:||10.1145/3185768.3186303||Language:||en||Status of Item:||Peer reviewed||Is part of:||ICPE '18 Companion of the 2018 ACM/SPEC International Conference on Performance Engineering||Conference Details:||ACM/SPEC International Conference on Performance Engineering Companion, Berlin, Germany, April, 2018||ISBN:||978-1-4503-5629-9|
|Appears in Collections:||Computer Science Research Collection|
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