A Dynamic Load Balancing Algorithm for Distributed SLEE in Mobile Service Provisioning
Along with the growth of service type and user number due to network evolution and convergence, higher performance is required for service logic execution environment (SLEE) in service provisioning. In this paper, an accumulated k-subset algorithm (AK algorithm) is proposed to balance load in distributed SLEE. Based on a model of resource heterogeneity and load vector, AK algorithm improves k-subset algorithm by accumulating load information within every update interval. Experiments on different update intervals and request arrival rates suggest AK further reduces herd effect due to stale load information, and outperforms k-subset algorithm by 5%-10%.
distributed SLEE service provisioning load balancing stale information
Yao Zhao Fangchun Yang
State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing,China
国际会议
武汉
英文
2006-09-01(万方平台首次上网日期,不代表论文的发表时间)