Paper Info
Title
TRINI: an adaptive load balancing strategy based on garbage collection for clustered Java systems.
Abstract
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.
Year
DOI
Venue
2016
10.1002/spe.2391
Softw., Pract. Exper.
Keywords
Field
DocType
load balancing,cluster computing,garbage collection,Java,system performance
Load balancing (computing),Computer science,Workload,Response time,Garbage collection,Throughput,Java,Computer cluster,Distributed computing,Scalability
Journal
Volume
Issue
ISSN
46
12
0038-0644
Citations 
PageRank 
References 
6
0.47
22
Authors
5
Name
Order
Citations
PageRank
A. Omar Portillo-Dominguez1255.68
Philip Perry235329.95
Damien Magoni324030.36
Miao Wang410718.49
John Murphy57510.07