|Title||An effective Task Scheduling Strategy in multiple Data centers in Cloud Scientific Workflow|
|Publication Type||Conference Proceedings|
|Year of Conference||2016|
|Authors||Djebbar, E-I, Belalem, G|
|Conference Name||39th international convention on information and communication technology, electronics and microelectronics|
|Conference Location||Opatija, Croatia|
|Keywords||Cloud scientific workflow, gang scheduling, multiple Data centers., task scheduling|
Cloud computing is currently the most hyped and popular paradigm in the domain of distributed computing. In this model, data and computation are operated somewhere in a cloud which is some collection of data centers owned and maintained by a third party. Scheduling is the one of the most prominent activities that executes in the cloud computing environment. The goal of cloud task scheduling is to achieve high system throughput and to allocate various computing resources to applications. The Complexity of the scheduling problem increases with the size of the task and becomes highly difficult to solve effectively. In this research, we propose a task scheduling strategy for Cloud scientific workflows based on gang scheduling in multiple Data centers. The experimentation shows the performance of the proposed strategy on response time and average cost of cloudlets.