垃圾收集
垃圾
计算机科学
手动内存管理
Java
堆(数据结构)
内存泄漏
内存管理
操作系统
数据库
虚拟内存
标杆管理
存储管理
程序设计语言
覆盖
业务
营销
作者
D. Beronic,N. Novosel,Branko Mihaljević,Aleksander Radovan
标识
DOI:10.23919/mipro55190.2022.9803445
摘要
Selecting the appropriate automated memory management approach directly impacts application performance and is considered one of the crucial factors in contemporary memory management. In Java, applications are commonly executed within the Java Virtual Machine (JVM), and, for years, it has offered several garbage collection techniques to choose from. The Garbage First (G1) garbage collector (GC) became the standard in 2017 and is currently a widely used garbage collection algorithm. Other GCs evolved in the meantime, such as Shenandoah GC and Z Garbage Collector (ZGC), and they were recently promoted from experimental features to production-ready. Since currently, there are several standard GCs to choose from, we believe that the performance distinctions they manifest should be more thoroughly examined with experimental benchmarks and real-life use cases. Given the importance of GC in automated memory management performance, it is worthwhile to investigate how those GC algorithms handle various memory issues and perform in regards to heap allocation, CPU usage, and time consumption. This paper focuses on the comparative analysis of the default G1 and the Shenandoah and Z GCs, and compares the number of measures in selected application tests from the popular benchmarking suites with all three standard GCs available.
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