Flexible and extensible load balancing

Hui, Chi-Chung; Chanson, Samuel T.

doi:10.1002/(sici)1097-024x(199711)27:11<1283::aid-spe132>3.0.co;2-l

Cited by 6 publications

(1 citation statement)

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“…Furthermore, the work on proposed a resource management solution for distributed systems, offering capabilities such as the automatic detection of overloaded resources. Because of its importance, load balancing is a well‐studied problem in the areas of parallel and distributed systems, where a significant body of literature exists . For example, the authors of proposed a technique to estimate the total workload of a load balancer to utilise this information in the balancing of new workload.…”

Section: Related Workmentioning

confidence: 99%

TRINI: an adaptive load balancing strategy based on garbage collection for clustered Java systems

et al. 2016

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Summary Nowadays, clustered environments are commonly used in high‐performance computing and enterprise‐level applications to achieve faster response time and higher throughput than single machine environments. Nevertheless, how to effectively manage the workloads in these clusters has become a new challenge. As a load balancer is typically used to distribute the workload among the cluster's nodes, multiple research efforts have concentrated on enhancing the capabilities of load balancers. Our previous work presented a novel adaptive load balancing strategy (TRINI) that improves the performance of a clustered Java system by avoiding the performance impacts of major garbage collection, which is an important cause of performance degradation in Java. The aim of this paper is to strengthen the validation of TRINI by extending its experimental evaluation in terms of generality, scalability and reliability. Our results have shown that TRINI can achieve significant performance improvements, as well as a consistent behaviour, when it is applied to a set of commonly used load balancing algorithms, demonstrating its generality. TRINI also proved to be scalable across different cluster sizes, as its performance improvements did not noticeably degrade when increasing the cluster size. Finally, TRINI exhibited reliable behaviour over extended time periods, introducing only a small overhead to the cluster in such conditions. These results offer practitioners a valuable reference regarding the benefits that a load balancing strategy, based on garbage collection, can bring to a clustered Java system. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 99%