Minimization Response Time Task scheduling Algorithm. (November 2019)

• Record Type: Journal Article
• Authors: Maqsood, Maria; Lashari, Saima Anwar; Saare, Murtaja Ali; Sari, Sari Ali; Hussein, Yaqdhan Mahmood; Hatem, Hatem Oday
• Is Part Of: IOP conference series. Volume 705(2020)
• Publication Date: 2019-11
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/705/1/012008
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: Cloud computing is a type of computing that base on shared computer resources for delivering information technology services. Distributed Computational system has been considered as best systematic model for sharing resources. Minimization of response time is the requirement in the distributed computational system. Previous Algorithm belongs to the optimization in which every new Virtual Machine reaching as a request to the cloud computing manager. This creates disturbance in the processing during life cycle of others Virtual Machines. For overcome this problem, there is a proposed an algorithm for minimization response time in distributed computational system by using the multi agents cloud structure. The overall system is architecture as a distributed over multi layered model. This leads to a situation that demands high care in allocating a Virtual Machine (VM) to a server machine in order to improve allocation time and efficiency of resources. Focus of this work remains to decrease time of allocation to optimize response time using a Virtual Machine (VM) placement and allocation algorithm that accounts Virtual. Machines (VM), their types and available resources among the data center server machines. Presented algorithm is implemented by using cloud simulator tool, through this tool, the calculated results of presented algorithm have been quite better with respect to traditional algorithm, and the difference presented with graphs for the both algorithms. Results support proposed methodology.