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Workflow Scheduling in Cloud Computing

by Rajwinder Singh, Pushpendra Kumar Petriya
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 11
Year of Publication: 2013
Authors: Rajwinder Singh, Pushpendra Kumar Petriya
10.5120/9975-4804

Rajwinder Singh, Pushpendra Kumar Petriya . Workflow Scheduling in Cloud Computing. International Journal of Computer Applications. 61, 11 ( January 2013), 38-40. DOI=10.5120/9975-4804

@article{ 10.5120/9975-4804,
author = { Rajwinder Singh, Pushpendra Kumar Petriya },
title = { Workflow Scheduling in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 11 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 38-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number11/9975-4804/ },
doi = { 10.5120/9975-4804 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:25.378294+05:30
%A Rajwinder Singh
%A Pushpendra Kumar Petriya
%T Workflow Scheduling in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 11
%P 38-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cloud Computing offers wide computation and resource facilities for execution of various application workflows. Many different resources involved in execution of single workflow. Cloud Computing offers highly dynamic environment in which the system load and status of resource changes frequently. As the workload increases with increase in Cloud Services and clients there is a need to handle these requests or jobs. It needs to schedule them first to execute on different available VMs. The execution of cloud workflows faces many uncertain factors in allocating and scheduling workload. The first step is to provide an efficient workflow allocation model by considering the client’s requirements. Workflow scheduling model will schedule jobs in such a way that all the jobs will get executed taking minimal possible time, maintain QoS and satisfy client’s requirements.

References
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Index Terms

Computer Science
Information Sciences

Keywords

VM(Virtual Machine) Cloud Computing Workflow Workflow Scheduling

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