QoS guided Min-Min heuristic for grid task scheduling-Reference-Cited by-同舟云学术

QoS guided Min-Min heuristic for grid task scheduling

Published:2003-07 Issue:4 Volume:18 Page:442-451
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. & Technol.

Author:

He XiaoShan,Sun Xianhe,von Laszewski Gregor

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/BF02948918.pdf

Reference22 articles.

1. Braun T D, Siegel H J, Beck Net al. A taxonomy for describing matching and scheduling heuristics for mixed-machine heterogeneous computing systems.IEEE Workshop on Advances in Parallel and Distributed Systems, West Lafayette, In, Oct., 1998, pp. 330–335.

2. Maheswaran M, Ali S, Siegel H Jet al. Dynamic mapping of a class of independent tasks onto heterogeneous computing systems. InThe 8th IEEE Heterogeneous Computing Workshop (HCW'99), San Juan, Puerto Rico, Apr., 1999, pp. 30–44.

3. Al-Saqabi K, Sarwar S, Saleh K. Distributed gang scheduling in networks of heterogeneous workstations.Computer Communications Journal, 1997, pp. 338–348.

4. Michael Litzkow, Miron Livny, Matt Mutka. Condor — A hunter of idle workstations. InProc. the 8th International Conference of Distributed Computing Systems, San Jose, CA, June, 1988, pp. 104–111.

5. Buyya R, Abramson D, Giddy J. Nimrod/G: An architecture of a resource management and scheduling system in a global computational Grid.High Performance Computing Asia 2000, Beijing, China, May 14–17, 2000, pp. 283–289.

Cited by 191 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Task Scheduling Algorithm for Micro-cloud Platform Based on Task Real-time;Proceedings of the 2023 2nd International Conference on Networks, Communications and Information Technology;2023-06-16

2. Comparison of Average Completion Time and Makespan for Various Task Scheduling Techniques;2023 4th International Conference on Computing and Communication Systems (I3CS);2023-03-16

3. Reinforcement Learning-Based Intelligent Task Scheduling for Large-Scale IoT Systems;Wireless Communications and Mobile Computing;2023-02-23

4. Optimization of Heterogeneous Task Scheduling in Cloud Computing;2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS);2023-02-09

5. QoS-driven hybrid task scheduling algorithm in a cloud computing environment;International Journal of Grid and Utility Computing;2023