Workflow Scheduling in Cloud Computing
Author(s) -
Rajwinder Singh,
Pushpendra Kumar Petriya
Publication year - 2013
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/9975-4804
Subject(s) - computer science , workflow , cloud computing , workload , scheduling (production processes) , distributed computing , workflow management system , schedule , workflow technology , quality of service , database , operating system , computer network , operations management , economics
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. KEYWORD: VM(Virtual Machine),Cloud Computing, Workflow, Workflow Scheduling.
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