Name
Title | ||
|---|---|---|
Adaptive GC-Aware Load Balancing Strategy for High-Assurance Java Distributed Systems |
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/HASE.2015.19 | High Assurance Systems Engineering |
Keywords | Field | DocType |
java,distributed processing,quality of service,resource allocation,software quality,storage management,java applications,adaptive gc-aware load balancing strategy,distributed java system,domain expert knowledge,front-end load balancer,high-assurance java distributed systems,major garbage collection,performance degradation,performance impact avoidance,performance improvement,quality of service requirements,static configuration,workload distribution optimisation,high-assurance systems,java garbage collection,performance and reliability,benchmark testing,memory management,resource management,history,prediction algorithms | Load management,Computer science,Load balancing (computing),Quality of service,Real-time computing,Memory management,strictfp,Garbage collection,Throughput,Java,Distributed computing | Conference |
ISSN | Citations | PageRank |
1530-2059 | 3 | 0.39 |
References | Authors | |
14 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Omar Portillo-Dominguez | 1 | 25 | 5.68 |
| Miao Wang | 2 | 107 | 18.49 |
| John Murphy | 3 | 597 | 52.43 |
| Damien Magoni | 4 | 240 | 30.36 |