Deadline based Resource Provisioning and Scheduling Algorithm for Scientific Workflows on Clouds

Deadline based Resource Provisioning and Scheduling Algorithm for Scientific Workflows on Clouds

Abstract— Deadline based Resource Provisioning and Scheduling Algorithm for Scientific Workflows on Clouds. Cloud computing is the latest distributed computing paradigm and it offers tremendous opportunities to solve large-scale scientific problems. However, it presents various challenges that need to be addressed in order to be efficiently utilized for workflow applications. Although the workflow scheduling problem has been widely studied, there are very few initiatives tailored for Cloud environments. Furthermore, the existing works fail to either meet the user’s Quality of Service < Final Year Projects 2016 > QoS requirements or to incorporate some basic principles of Cloud computing such as the elasticity and heterogeneity of the computing resources. Proposes a resource provisioning and scheduling strategy for scientific workflows on Infrastructure as a Service (IaaS) Clouds.