JOURNAL ARTICLE

Virtual Machine Allocation Policy in Cloud Computing Environment using CloudSim

Taskeen ZaidiRampratap Rampratap

Year: 2018 Journal:   International Journal of Electrical and Computer Engineering (IJECE) Vol: 8 (1)Pages: 344-344   Publisher: Institute of Advanced Engineering and Science (IAES)

Abstract

Cloud computing has been widely accepted by the researchers for the web applications. During the past years, distributed computing replaced the centralized computing and finally turned towards the cloud computing. One can see lots of applications of cloud computing like online sale and purchase, social networking web pages, country wide virtual classes, digital libraries, sharing of pathological research labs, supercomputing and many more. Creating and allocating VMs to applications use virtualization concept. Resource allocates policies and load balancing polices play an important role in managing and allocating resources as per application request in a cloud computing environment. Cloud analyst is a GUI tool that simulates the cloud-computing environment. In the present work, the cloud servers are arranged through step network and a UML model for a minimization of energy consumption by processor, dynamic random access memory, hard disk, electrical components and mother board is developed. A well Unified Modeling Language is used for design of a class diagram. Response time and internet characteristics have been demonstrated and computed results are depicted in the form of tables and graphs using the cloud analyst simulation tool.

Keywords:
Cloud computing Computer science CloudSim Virtual machine Virtualization Cloud testing Utility computing Distributed computing The Internet Load balancing (electrical power) Server Operating system Cloud computing security

Metrics

16
Cited By
5.80
FWCI (Field Weighted Citation Impact)
38
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cloud Computing and Resource Management
Physical Sciences →  Computer Science →  Information Systems
Parallel Computing and Optimization Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications

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