Abstract
A workflow comprises of a collection of coordinated tasks aimed to carry out a well-defined systematic process such as planning, arranging, sequencing the jobs and implementing the business process of the enterprises. Our research aims to schedule the workflow, which defines a correct order of execution of jobs. A proper workflow scheduling process helps to enhance the response time, processing time, utilization of resources, performance and quality of service. This proposed approach, EWS: Efficient Workflow Scheduling Algorithm arranges the requests according to the user priority, finds the proficient VMs, maps the tasks to the VMs and manages the execution of tasks within a specified time. The proposed approach helps to deliver the services with the minimum response time and process time as mentioned in the Service Level Agreement (SLA) without any violation. In addition, it also enhances the performance of virtual machines.
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Justy Mirobi, G., Arockiam, L. (2020). EWS: An Efficient Workflow Scheduling Algorithm for the Minimization of Response Time in Cloud Environment. In: Pandian, A., Palanisamy, R., Ntalianis, K. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019). ICCBI 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 49. Springer, Cham. https://doi.org/10.1007/978-3-030-43192-1_88
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