Dynamic Workflow Scheduling Approach for Minimizing the Response Time Using An Efficient Workflow Scheduler in Cloud Computing

The cloud computing system complies the customer to access data and programs outside of the user's computing environment. Rather than storing the user's data and software on the user's personal computer or server, it is stored in the cloud. These cloud services comprise of applications, email, databases and file services. To access the cloud services, the requests are given as workflow. A workflow is a series of steps comprised of achieving a well-defined objective in a cloud environment. These steps are in a specific order to enhance the execution process and ensure efficiency. The main issue in executing the workflows is the uncertainty of the request process period and response period. The existing algorithms are not suitable to handle the above-mentioned issue. An efficient workflow scheduler is necessary to schedule the requests, select the requests and map the selected tasks to the appropriate VMs for handling their execution procedure while satisfying all dependencies, constraints and objective functions. The goal of the proposed workflow scheduler is to offer cloud services in a quite short time. The workflow scheduler is used to provide the cloud services with minimum process time and response time as defined in the Service Level Agreement (SLA).