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A Resource Scheduling Approach Throughput Optimization in Private Cloud


Sneha Patel , LJIET,Ahmedabad; Narendra Limbad, LJIET; Sazid Mahammad, ISRO,ahmedabad


Cloud computing; Open Nebula; Resource Scheduling; INSAT-3D


A cloud computing is a fast growing area in computing research and industry today. It enables on- demand network access to a shared pool of configurable computing resources such as servers, storage and applications. Three main services provided by the cloud are Infrastructure as a Service (IaaS), Software as a Service (SaaS) and Platform as a Service (PaaS). Private Cloud is restricted to a particular organization and data security risks are less compared to the public cloud. It is very difficult to execute multiple jobs on multiple systems rather than on single system simultaneously. Resource Scheduling refers to the set of policies to control the order of work to be performed by a computer system. It also manages availability of CPU time, processing time and good scheduling policy gives maximum utilization of resource. Round Robin , Equally Spread Current Execution and Throttled are existing algorithms. The objective of this paper is to propose efficient and enhanced scheduling algorithm that can maintain multiple VMs dynamically based on user requirement. Proposed algorithm is applied to optimize the throughput for processing of satellite images. Multiple Jobs are executed simultaneously considering system parameters like process time and CPU time in private cloud.

Other Details

Paper ID: IJSRDV3I40735
Published in: Volume : 3, Issue : 4
Publication Date: 01/07/2015
Page(s): 1067-1071

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