ABSTRACT

In recent years ad-hoc parallel processing has emerged to be one among the killer applications for Infrastructure-as-a-Service (IaaS) clouds. Major Cloud computing firms have began to integrate frameworks for parallel processing in their product portfolio, creating it simple for purchasers to access these services and to deploy their programs. However, the process frameworks that area unit presently used are designed for static, consistent cluster setups and disrespect the actual nature of a cloud. Consequently, the allotted calculate resources could also be inadequate for giant components of the submitted job and unnecessarily increase time interval and value. During this paper we tend to discuss the opportunities and challenges for economical parallel processing in clouds and present our research HPSSD. HPSSD is the data processing framework to overtly utilize the dynamic resource portion presented by today’s IaaS clouds for each with hacker protection, task programming and execution. Specific tasks of a process job are often assigned to differing types of virtual machines that are mechanically instantiated and terminated throughout the task execution.