LESG: LEARNING AND ECONOMIC BASED SCHEDULER IMPLEMENTATION

摘要：

In a dynamic environment like grid with huge number of subtasks, flexible approach is necessary to manage resource allocation. Grid is a robust technique in parallel computing. The central component of grid is resource management system (RMS). The main functions of RMS are scheduling and allocation of subtasks. The goal of this paper is to provide an optimal learning solution for dynamically choosing appropriate resource. In this paper we introduce an intelligent approach to schedule subtasks based on reinforcement learning. That is named LESG. In LESG a flexible allocation according to subtasks and resources attributes, increases performance of gird.

关键词： Resource management grid computing intelligent systems Economic scheduling

作者: Leili Mohammad Khanlia Nahideh Derakhshan Fard

作者单位: Assistance professor, CS department Tabriz University Master of Science student, Islamic Azad University Tabriz branch, member of young researchers club

会议类型: 国际会议

会议名称: 2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology(2009年宽带网络与多媒体国际会议 IEEE IC-BNMT2009)

会议地点: 北京

会议语种:英文

页码: 825-830

在线出版日期: 2009-10-18（万方平台首次上网日期，不代表论文的发表时间）