Survey on workflow scheduling of scientific processes using cloud technology

Scientific and research applications, Big data applications work on huge data sets and often comprise of several tasks depending on the application. To execute these applications, Cloud technology is best suitable because of the scalability and elasticity features along with pay according to the usage of Cloud resources. Resource Allocation in a cloud is a significant area in Cloud Computing as the cloud is a collection of software and hardware resources and the resources in the cloud are allocated to the users on a pay for what you use model. It is important to allocate resources in an efficient manner to reduce the cost for user, satisfy the SLA, and cater to the requirements of more number of users. Scheduling and optimization play an important role in resource utilization, faster execution and minimizing the cost incurred in executing these applications. This paper presents the survey on the research done in this area along with the criteria and algorithms selected.