@inproceedings{92f1fc76169e4506bcc00eeb030abb90,
title = "A performance study of task scheduling heuristics in HC environment",
abstract = "Heterogeneous computing (HC) environment consists of different resources connected with high-speed links to provide a variety of computational capabilities for computing-intensive applications having multifarious computational requirements. The problem of optimal assignment of tasks to machines in HC environment is proven to be NPcomplete requiring use of heuristics to find the near optimal solution. In this work we conduct a performance study of task scheduling heuristics in HC environment. Overall we have implemented 16 heuristics, among them 7 are proposed in this paper. Based on experimental results we specify the circumstances under which one heuristic will outperform the others.",
keywords = "Heterogeneous computing, Performance evaluation, Task partitioning heuristic, Task scheduling",
author = "Munir, \{Ehsan Ullah\} and Jianzhong Li and Shengfei Shi and Zhaonian Zou and Qaisar Rasool",
year = "2008",
doi = "10.1007/978-3-540-87477-5\_24",
language = "英语",
isbn = "9783540874768",
series = "Communications in Computer and Information Science",
pages = "214--223",
booktitle = "Modelling, Computation and Optimization in Information Systems and Management Sciences - Second International Conference, MCO 2008, Proceedings",
note = "2nd International conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, MCO 2008 ; Conference date: 08-09-2008 Through 10-09-2008",
}