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基于路径平衡的工作流费用优化方法
引用本文:刘灿灿,张卫民,骆志刚.基于路径平衡的工作流费用优化方法[J].软件学报,2013,24(6):1207-1221.
作者姓名:刘灿灿  张卫民  骆志刚
作者单位:1. 空军军训器材研究所,北京,100195
2. 国防科学技术大学 计算机学院 软件所,湖南 长沙,410073
基金项目:国家高技术研究发展计划(863),国家自然科学基金
摘    要:针对效用网格下截止期约束的工作流费用优化问题,提出了路径平衡(path balance,简称 PB)算法,对工作流中各路径长度进行调整,并提出基于路径平衡的费用优化(path balance based cost optimization,简称PBCO)算法。 PBCO 基于 PB 的计算结果设置初始约束时间,充分利用了工作流的费用优化空间。同时,采用逆向分层策略对任务进行分层,并根据各层任务数按比例分配冗余时间,有效地增大了多数任务的费用优化空间,进一步改善了工作流的费用优化效果。实验结果表明,PBCO比另外几种著名算法(如DET,DBL等)改进了约35%。

关 键 词:工作流调度  效用网格  路径平衡  截止期约束  费用优化  逆向分层
收稿时间:2010/12/21 0:00:00
修稿时间:2011/10/17 0:00:00

Path Balance Based Heuristics for Cost Optimization in Workflow Scheduling
LIU Can-Can,ZHANG Wei-Min and LUO Zhi-Gang.Path Balance Based Heuristics for Cost Optimization in Workflow Scheduling[J].Journal of Software,2013,24(6):1207-1221.
Authors:LIU Can-Can  ZHANG Wei-Min and LUO Zhi-Gang
Affiliation:Air Force Training Equipment Institute, Beijing 100195, China;Institute of Software, School of Computer Science, National University of Defense Technology, Changsha 410073, China;Institute of Software, School of Computer Science, National University of Defense Technology, Changsha 410073, China
Abstract:In order to address the trade-off problems between time and cost in the grid workflow scheduling with deadline constraints, this study proposes a new algorithm named path balance (PB) to adjust the length for each path in workflow and develop a heuristic referred as path balance based cost optimization (PBCO). PBCO makes full use of the workflow cost optimization space by setting a deadline for each task, based on the results of PB, and enlarges the optimization space for multitude tasks by distributing the redundancy time, based on the quantities of tasks at each level, this is divided by using the bottom level strategy. According to the experimental results, the average execution cost of PBCO decreases by about 35% relative to other famous heuristics, such as DET and DBL.
Keywords:workflow scheduling  utility grids  path balance  deadline constraint  cost optimization  bottom level
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