Item record/more information http://hdl.handle.net/10197/9231 Abstract-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.
For example, the authors of REF proposed a load balancing strategy to address the performance impacts of the Major GC.
Adaptive GC-Aware Load Balancing Strategy for High-Assurance Java Distributed Systems
2015 IEEE 16th International Symposium on High Assurance Systems Engineering
2015 IEEE 16th International Symposium on High Assurance Systems Engineering
Computer Science