Trust-driven job scheduling heuristics for computing grid

ZHANG Wei-zhe1; LIU Xin-ran2; YUN Xiao-chun1; ZHANG Hong-li1; HU Ming-zeng1; LIU Kai-peng1

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Trust-driven job scheduling heuristics for computing grid

更新时间：2024-10-14

- Trust-driven job scheduling heuristics for computing grid
- Issue 2, Pages: 73-79(2006)
- 作者机构：
  
  1. 哈尔滨工业大学计算机科学与技术学院
  2. 国家计算机网络应急技术处理协调中心
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP393.01
- Published：2006
- 稿件说明：
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ZHANG Wei-zhe1, LIU Xin-ran2, YUN Xiao-chun1, et al. Trust-driven job scheduling heuristics for computing grid[J]. 2006, (2): 73-79.
DOI：

ZHANG Wei-zhe1, LIU Xin-ran2, YUN Xiao-chun1, et al. Trust-driven job scheduling heuristics for computing grid[J]. 2006, (2): 73-79. DOI：

摘要

针对目前网格资源管理中信任机制与作业调度机制分离的缺陷

基于网格信任模型与信任效益函数

提出了信任驱动的网格作业调度问题。对传统批作业调度算法进行信任扩展

提出了两种信任驱动的网格作业调度启发式。对信任驱动网格作业调度算法进行大规模仿真实验

有力地证明了信任驱动算法优于传统时间驱动算法

在平均信任效益和总信任效益等方面具有较好的综合性能。

Abstract

Currently existing grid scheduling algorithms largely ignore the impact of trust mechanism

which made their applicability in a realistic environment rather doubtful.Based on the grid trust model and trust utilization functions

a trust-driven grid job scheduling problem was proposed.Trust-driven Min-min and Sufferage job scheduling heuristics were presented

which were extended based on traditional job scheduling strategies.The algorithms were evaluated with large scale simulation.Simulation result demonstrates trust-driven heuristics perform better than time-driven heuristic on average trust utility and total trust utility.

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