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IEEE International Conference on Cluster Computing (CLUSTER)

作者： Ataie, Ismail Yu, Weikuan Florida State Univ Dept Comp Sci Tallahassee FL 32306 USA

ISBN: (数字)9781665498562

ISBN: (纸本)9781665498562

Managed programming languages including java and Scala are very popular for data analytics and mobile applications. However, they often face challenging issues due to the overhead caused by the automatic memory management to detect and reclaim free available memory. It has been observed that during their garbage collection (GC), excessively long pauses can account for up to 40% of the total execution time. Therefore, mitigating the GC overhead has been an active research topic to satisfy today's application requirements. This paper proposes a new technique called SwapVA to improve data copying in the copying/moving phases of GCs and reduce the GC pause time, thereby mitigating the issue of GC overhead. Our contribution is twofold. First, a SwapVA system call is introduced as a zero-copy technique to accelerate the GC copying/moving phase. Second, for the demonstration of its effectiveness, we have integrated SwapVA into SVAGC as an implementation of scalable Full GC on multi-core systems. Based on our results, the proposed solutions can dramatically reduce the GC pause in applications with large objects by as much as 70.9% and 97%, respectively, in the ***/4 (one quarter of the default input size) and Sigverify benchmarks.

关键词： GC optimization virtual address swapping zero-copying large objects Full GC java garbage collection

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Adaptive GC-Aware Load Balancing Strategy for High-Assurance java Distributed Systems 16

Adaptive GC-Aware Load Balancing Strategy for High-Assurance...

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16th IEEE International Symposium on High Assurance Systems Engineering (HASE)

作者： Portillo-Dominguez, A. Omar Wang, Miao Murphy, John Magoni, Damien Univ Coll Dublin Lero Sch Comp Sci & Informat Dublin Ireland Univ Bordeaux LaBRI Bordeaux France

ISBN: (纸本)9781479981113

High-Assurance applications usually require achieving fast response time and high throughput on a constant basis. To fulfil these stringent quality of service requirements, these applications are commonly deployed in clustered instances. However, how to effectively manage these clusters has become a new challenge. A common approach is to deploy a front-end load balancer to optimise the workload distribution among the clustered applications. Thus, researchers have been studying how to improve the effectiveness of a load balancer. Our previous work presented a novel load balancing strategy which improves the performance of a distributed java system by avoiding the performance impacts of Major garbage collection, which is a common cause of performance degradation in java applications. However, as that strategy used a static configuration, it could only improve the performance of a system if the strategy was configured with domain expert knowledge. This paper extends our previous work by presenting an adaptive GC-aware load balancing strategy which self-configures according to the GC characteristics of the application. Our results have shown that this adaptive strategy can achieve higher throughput and lower response time, compared to the round-robin load balancing, while also avoiding the burden of manual tuning.

关键词： High-Assurance Systems Performance and Reliability java garbage collection

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Sapphire: copying garbage collection without stopping the world

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CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 2003年第3-5期15卷 223-261页

作者： Hudson, RL Moss, JEB Univ Massachusetts Dept Comp Sci Amherst MA 01003 USA Intel Corp Santa Clara CA 95052 USA

The growing use in concurrent systems of languages that require garbage collection (GC), such as java, is raising practical interest in concurrent GC. Sapphire is a new algorithm for concurrent copying GC for java. It stresses minimizing the amount of time any given application thread may need to block to support the collector. In particular, Sapphire is intended to work well in the presence of a large number of application threads, on small- to medium-scale shared memory multiprocessors. Sapphire extends previous concurrent copying algorithms, and is most closely related to replicating copying collection, a GC technique in which application threads observe and update primarily the old copies of objects. The key innovations of Sapphire are: (1) the ability to 'flip' one thread at a time (changing the thread's view from the old copies of objects to the new copies), as opposed to needing to stop all threads and flip them at the same time;(2) exploiting java semantics and assuming any data races occur on volatile fields, to avoid a barrier on reads of non-volatile fields;and (3) working in concert with virtually any underlying (non-concurrent) copying collection algorithm. Copyright (C) 2003 John Wiley Sons, Ltd.

关键词： garbage collection copying garbage collection concurrent garbage collection replicating garbage collection java garbage collection

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