Periodicity: Bi Annual.
Impact Factor:
SJIF:4.78 & GIF:0.428
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJWT provides online manuscript tracking system.

Every issue of Journal of IJWT is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJWT special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJWT website. For complete procedure, contact us at

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 7 Issue 2 Date of Publication:   December 2018

An Efficient Decentralized Energy and Communication Aware Workload Management

eswari b,K.Geetha

Page(s):   41-44 ISSN:   2278-2397
DOI:   10.20894/IJWT. Publisher:   Integrated Intelligent Research (IIR)

In this paper, a research work is carried out to improve workload management by minimize energy consumption of node, localizing traffic in a network and reduce communication delay between virtual machines in cloud environment. Cloud computing consists numerous virtual machine to store huge volume of data. The usage of virtual machines is to provide separate guest operating system which is popular now-a-days. The workload management across different virtual machines in cloud is really a difficult process. Decentralized approaches were proposed in the literature for energy efficient management of virtual machines. But still it has some issues like failed to consider the communication between virtual machines and it leads to traffic in a network. Thus it reduces the performance of work load management. . In order to reduce the energy consumption and to improve workload management in cloud computing, a combined technology comprises two approaches namely communication aware scheduling and power metering technique is proposed in this work. This reduces simulation time of computation nodes and improves the performance of cloud computing. The proposed power metering technique and communication aware scheduling reduces energy consumption, localizing traffic and reduced communication delay between virtual machines. The experimental results prove that the proposed technique works more efficiently than the existing technique in terms of energy consumption and simulation time.