A neural network approach for dynamic load balancing in homogeneous distributed systems

被引：0

作者：

El-Abd, AE ^{[1
]}

El-Bendary, MI ^{[1
]}

机构：

[1] Arab Acad Sci & Technol, Dept Elect & Comp Engn, Alexandria, Egypt

来源：

THIRTIETH HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES, VOL 1: SOFTWARE TECHNOLOGY AND ARCHITECTURE | 1997年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A novel neural-based solution to the problem of dynamic load balancing in homogeneous distributed systems is proposed. The winner-Take-All (WTA) neural network model is used for implementing the selection and location policies of a typical dynamic load balancing algorithm. Tasks with interprocess communication requirements are considered. All delays due to my usage of the communications network resource me taken into account. Performance studied by simulation is compared against the no load balancing use. The results suggest that it is always beneficial to use load balancing than not at all.

引用

页码：628 / 629

页数：2