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Communication Dans Un Congrès Année : 2015

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

Résumé

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.
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Dates et versions

hal-01117341 , version 1 (03-11-2017)

Identifiants

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Omar Portillo-Dominguez, Miao Wang, John Murphy, Damien Magoni. Adaptive GC-Aware Load Balancing Strategy for High-Assurance Java Distributed Systems. 16th IEEE International Symposium on High Assurance Systems Engineering, Jan 2015, Daytona Beach, Florida, United States. pp.68-75, ⟨10.1109/HASE.2015.19⟩. ⟨hal-01117341⟩
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