ugc approved journal list IJRTI Research Journal
International Journal for Research Trends and Innovation
An International Open Access Journal | UGC and ISSN Approved
Impact Factor: 4.87

Call For Paper

Issue: June 2018

Volume 3 | Issue 6

Impact Factor: 4.87

Submit Paper Online

Click Here For more Details

For Authors

Forms / Download

Editorial Board

Subscribe IJRTI

Facts & Figure

Impact Factor : 4.87

Issue per Year : 12

Volume Published : 3

Issue Published : 25

Article Submitted : 942

Article Published : 572

Total Authors : 1602

Total Reviewer : 500

Total Pages : 145

Total Countries : 10

Visitor Counter


Indexing Partner

Published Paper Details
Paper Title: Enhanced Automatic Control Virtual Machine for Cloud Using Real Time Task Oriented Algorithm
Authors Name: Ms. M. Sowmeena , Prof. C. Ramesh
Unique Id: IJRTI1806008
Published In: Volume 3 Issue 6, June-2018
Abstract: The enterprise aims to upgrade the working of applications in the unify environment by balancing the memory pages of virtual machines. The MEB system is inconsequential and can be perfectly integrated into user space without interfacing with virtual machine monitor operation. A Global scheduling algorithm based on the dynamic criterion to determine the optimum allocation memory. They virtualization technique enables multiple virtual machines (VMs) to be placed on the same physical hosts and supports the live migration of virtual machine between physical hosts based on the performance requirements. When virtual machine does not use all the provided resources, they can be logically resized and consolidated to the minimum number of physical hosts. While idle nodes can be switched to sleep or hibernate mode to eliminate the idle energy consumption and thus reducing the total energy consumption (TEC) in cloud data centers. Cloud can achieve the same level of computing power a supercomputer does but at a much-reduced cost. Cloud is like a virtual supercomputer. The efficient task scheduling considers the completion time of tasks in a cloud environment. ASJS is mainly intended to decrease job’s completion time. This project works on ASJS algorithm. This algorithm mainly concentrates on allocating suitable VM with the suitable task. The computing power of each resource is defined as the product CPU speed and available CPU percentage and the transmission power of each cluster is defined as the average bandwidth between different clusters. ASJS status of each resource in the cloud as parameters to initialize the cluster score of each bundle.
Keywords: virtual machine, EASJS, ASJS, Cluster, Resource
Cite Article: "Enhanced Automatic Control Virtual Machine for Cloud Using Real Time Task Oriented Algorithm ", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 6, page no.47 - 52, June-2018, Available :http://www.ijrti.org/papers/IJRTI1806008.pdf
Downloads: 00016
Publication Details: Published Paper ID: IJRTI1806008
Registration ID:180248
Published In: Volume 3 Issue 6, June-2018
DOI (Digital Object Identifier):
ISSN Number: 2456 - 3315
Share Article:

Click Here to Download This Article

Article Preview



Major Indexing from www.ijrti.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

ISSN Details

DOI (A digital object identifier)



Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related

RMS

Conference Proposal

Latest News / Updates

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Untitled Document