PRIORITY BASED NON-PREEMPTIVE SHORTEST JOB FIRST RESOURCE ALLOCATION TECHNIQUE IN CLOUD COMPUTING

In this world where technology changes so rapidly, cloud computing field has managed to make a huge impact towards customer satisfaction in a real-time environment. Cloud computing has made a huge reduction in cost of storage and has led to efficient management and processing of data. Cloud consumers request various services based on their dynamically changing needs. Due to the reason that resources are often scarcely available it becomes a burden for the cloud providers to fulfill the demands of the users. Therefore, it is necessary to find a resource allocation technique that meets the dynamic changing needs of people through optimum utilization of resources. The aim is to propose an improved load-balancing algorithm, which will dynamically allocate resources by strategically forwarding the traffic onto the servers in a real-time cloud environment. Cite this Article: Rishi Aluri, Shriya Mehra, Apoorva Sawant, Pankti Agrawal and Mayank Sohani, Priority based Non-Preemptive Shortest Job First Resource Allocation Technique in Cloud Computing. International Journal of Computer Engineering & Technology, 9(2), 2018, pp. 132–139. http://www.iaeme.com/IJCET/issues.asp?JType=IJCET&VType=9&IType=2

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