A., Fairuzullah and A., Noraziah and R. A., Arshah and T., Herawan (2019) Optimize Performance Load Balancing Techniques Using Binary Vote Assignment Grid Quorum (BVAGQ): A Systematic Review. In: Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) , 25 - 26 April 2015 , Bali, Indonesia. pp. 31-39., 520. ISBN 978-981-13-1799-6
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Abstract
This paper present load balancing technique in a heterogeneous environment allows the usage for geographically widely distributed and multi-owner resources to solve large-level application, usage of load balancing algorithms was important to keep maintaining the balance of workload between emerged infrastructures like grid. This replication generally referred as mechanism to improve availability and performance in distributed databases especially handling fragmented database replication becomes demanding issue. Intended in this paper we address various kinds of load balancing algorithms for the heterogeneous network like grid, especially Binary Vote Assignment Grid Quorum (BVAGQ) and to identify various metric and gaps between them. Many load balancing algorithms are already implemented which work against various issues like heterogeneity, scalability, etc. Different load balancing algorithms for the grid environment work on various metrics such as make span, time, average resource utilization rate, communication overhead, reliability, stability, and fault tolerance. However the aim is to find improved query response time and overall throughput as compared to other scheme.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Additional Information: | Lecture Notes in Electrical Engineering |
| Uncontrolled Keywords: | Grid Computing, Load Balancing, Distributed Computing, Resource Management, Fault Tolerance |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 09 Oct 2015 01:47 |
| Last Modified: | 18 Oct 2022 02:39 |
| URI: | http://umpir.ump.edu.my/id/eprint/10722 |
| Download Statistic: | View Download Statistics |
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