Java gui上的垃圾收集延迟

Panagiotis Patros, Michael H. Dawson, K. Kent
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引用次数: 1

摘要

平板电脑、智能手机、可穿戴设备等向人类用户投射一个(通常是图形化的)界面,将大部分计算任务转移到云/雾系统上。图形用户界面(GUI)应用程序通常是用高级编程语言编写的,这些语言提供自动内存管理:内存对象的放置和删除不是手动执行的;相反,一个称为垃圾收集器(GC)的底层软件组件会处理这个问题。然而,最适合大型数据中心的GC策略和算法并不一定适合小型嵌入式设备。因此,在本文中,我们提出了GUI GC,这是一个JavaFX GUI基准,我们使用它来比较IBM J9 Java运行时在资源受限环境下的四种GC策略的性能。总的来说,我们的实验表明,默认策略Gencon的表现优于其他策略。此外,基于区域的均衡策略没有充分利用阻塞时间;因此,使用GUI GC,我们进行了显式GC调用的实验,当多个cpu可用时,测试结果显著提高了13.22%。
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Garbage Collections Delays on Java GUIs
Tablets, smartphones, wearables, etc. project a (usually graphical) interface to their human users that offloads the majority of the computation to a cloud/fog system. Graphical User Interface (GUI) applications are frequently written in high-level programming languages, which provide automatic memory management: placement and deletion of memory objects is not performed manually; instead, an underlying software component called a Garbage Collector (GC) handles this. Nevertheless, the GC policies and algorithms that are best suited for large datacenters are not necessarily ideal for a small, embedded device. Therefore, in this paper, we present GUI GC, a JavaFX GUI benchmark, which we use to compare the performance of the four GC policies of the IBM J9 Java runtime on a resource-constrained environment. Overall, our experiments suggest that the default policy Gencon, outperformed its counterparts. Additionally, the region-based policy, Balanced, did not fully utilize blocking times; thus, using GUI GC, we conducted experiments with explicit GC invocations that measured significant improvements of up to 13.22% when multiple CPUs were available.
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