Workflow Scheduling Algorithm Based on Reliance Group in Cloud Environments

Yin Juan Zhang; Bo Liu; Chen Li; Yun Li

doi:10.4028/www.scientific.net/AMM.513-517.2203

Paper Titles

E-Learning Resource Recommendation Based on Fuzzy Sets
p.2186

The Research on the Campus Network Monitoring System Alarm
p.2190

Construction Plan for Digital Campus Portal
p.2194

Embedded Processors Nios II-Based LCD Display System Design
p.2199

Workflow Scheduling Algorithm Based on Reliance Group in Cloud Environments
p.2203

A Pipelined Parallelism Approach to Parallel Short-Range Molecular Dynamics Simulations on Multi-Core Platforms
p.2207

Micro-Blogging Based Network Growth Model of Semantic Link Network
p.2211

Hypervolume Performance of Conical Area Evolutionary Algorithm for Bi-Objective Optimization
p.2215

A Design of Improved Base64 Encoding Algorithm Based on FPGA
p.2220

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517Workflow Scheduling Algorithm Based on Reliance...

Workflow Scheduling Algorithm Based on Reliance Group in Cloud Environments

Abstract:

Cloud computing has attracted more people's attention and been extensive research. In order to provide satisfying service for users during the implement process of data-intensive workflow application in cloud environments, an improved algorithm is proposed which based on reliance group with high degree of dependence. By this measure, users can obtain the ideal acceleration radio of cost and service performance. Furthermore, more comprehensive resource service is provided by service providers.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

2203-2206

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.2203

Citation:

Cite this paper

Online since:

February 2014

Authors:

Yin Juan Zhang*, Bo Liu, Chen Li, Yun Li

Keywords:

Cloud Computing, Reliance Group, Resource Scheduling, Workflow

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] ARMBRUST. Above the Clouds: A Berkeley View of Cloud Computing[J]. EECS Department, University of California, 2009, 20: 100-103.

Google Scholar

[2] Bittencourt, Luiz Fernando, Madeira, Edmundo R. M, Towards the Scheduling of Multiple Workflows on Computational Grids[J], Journal of Grid Computing, v8, 2010: 419–441.

DOI: 10.1007/s10723-009-9144-1

Google Scholar

[3] W.T. McCormick, P.J. Sehweitzer. Problem decomposition and data reorganization by a clustering technique[J]. Operations Research, v20, n5, 1972: 993-1009.

DOI: 10.1287/opre.20.5.993

Google Scholar

[4] S. Abrishami, M. Naghibzadeh, D.H.J. Epema, Cost-driven scheduling of Grid workflows using partial critical paths[J], IEEE Trans. Parallel Distrib. Syst. v23(8), 2012: 1400–1414.

DOI: 10.1109/tpds.2011.303

Google Scholar

[5] E. Deelman, Grids and clouds: making workflow applications work in heterogeneous distributed environments[J], Int. J. High Perform. Comput. Appl. v24, 2010: 284–298.

DOI: 10.1177/1094342009356432

Google Scholar

[6] M. Xu, L. Cui, H. Wang, Y. Bi, A multiple QoS constrained scheduling strategy of multiple workflows for cloud computing[C], 2009 IEEE International Symposium on Parallel and Distributed Processing with Applications, 2009: 629–634.

DOI: 10.1109/ispa.2009.95

Google Scholar

[7] S. Pandey, L. Wu, S. Guru, R. Buyya, A particle swarm optimizationbased heuristic for scheduling workflow applications in cloud computing environments[C], 24th IEEE International Conference on Advanced Information Networking and Applications, AINA, 2010: 400–407.

DOI: 10.1109/aina.2010.31

Google Scholar

[8] Topcuoglu H, Hariri S, Wu M, Performance effective and low-complexity task scheduling for heterogeneous computing[J]. IEEE Trans Parallel Distrib Syst, v13(3), 2002: 260–274.

DOI: 10.1109/71.993206

Google Scholar