Enhancing Cloud Computing Scheduling based on Queuing Models

Mohamed Eisa; E. I. Esedimy; M. Z. Rashad

Research Article

Enhancing Cloud Computing Scheduling based on Queuing Models

by Mohamed Eisa, E. I. Esedimy, M. Z. Rashad

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 85 - Issue 2

Published: January 2014

Authors: Mohamed Eisa, E. I. Esedimy, M. Z. Rashad

10.5120/14813-3032

PDF

Mohamed Eisa, E. I. Esedimy, M. Z. Rashad . Enhancing Cloud Computing Scheduling based on Queuing Models. International Journal of Computer Applications. 85, 2 (January 2014), 17-23. DOI=10.5120/14813-3032

                        @article{ 10.5120/14813-3032,
                        author  = { Mohamed Eisa,E. I. Esedimy,M. Z. Rashad },
                        title   = { Enhancing Cloud Computing Scheduling based on Queuing Models },
                        journal = { International Journal of Computer Applications },
                        year    = { 2014 },
                        volume  = { 85 },
                        number  = { 2 },
                        pages   = { 17-23 },
                        doi     = { 10.5120/14813-3032 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2014
                        %A Mohamed Eisa
                        %A E. I. Esedimy
                        %A M. Z. Rashad
                        %T Enhancing Cloud Computing Scheduling based on Queuing Models%T 
                        %J International Journal of Computer Applications
                        %V 85
                        %N 2
                        %P 17-23
                        %R 10.5120/14813-3032
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

This paper presented a proposed model for cloud computing scheduling based on multiple queuing models. This allowed us to improve the quality of service by minimize execution time per jobs, waiting time and the cost of resources to satisfy user's requirements. By taking advantage of some useful proprieties of queuing theory scheduling algorithm is proposed to improve scheduling process. Experimental results indicate that our model increases utilization of global scheduler and reduce waiting time.

References

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Index Terms

Computer Science

Information Sciences

No index terms available.

Keywords

Cloud computing Queuing models Scheduling process.