Workflow Scheduling in Cloud Computing
TL;DR: 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.
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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. KEYWORD: VM(Virtual Machine),Cloud Computing, Workflow, Workflow Scheduling.
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Comparison of Workflow Scheduling Algorithms in Cloud Computing
TL;DR: Experimental results generated via simulation shown that Algorithm 2 is much better than Algorithm 1, as it reduced makespan time.
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Ordinal Optimized Scheduling of Scientific Workflows in Elastic Compute Clouds
Fan Zhang,Junwei Cao,Kai Hwang,Cheng Wu +3 more
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TL;DR: This paper proposes a simulation based approach to scheduling scientific workflows onto elastic clouds based on iterative ordinal optimization (IOO), which outperforms the Monte Carlo and Blind-Pick methods to yield higher performance against rapid workflow variations.