alexa A Survey on Dynamic Optimization of Multi attributes R
ISSN ONLINE(2320-9801) PRINT (2320-9798)

International Journal of Innovative Research in Computer and Communication Engineering
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

A Survey on Dynamic Optimization of Multi attributes Resource Allocation in Self- Organizing Clouds

Richu Jimmy 1, S. Vanitha 2, Daniel .D 3
  1. PG Scholar, Dept. of CSE, Dr. N.G.P Institute of Technology. Coimbatore, India
  2. Assistant Professor, Dept. of CSE Dr. N.G.P Institute of Technology. Coimbatore, India
  3. Assistant Professor, Dept. of CSE Dr. N.G.P Institute of Technology. Coimbatore, India
Related article at Pubmed, Scholar Google
 

Abstract

Virtual Machine is a software implementation of a computing environment in which operating system can be installed & run. By combining the concept of volunteer computing with cloud architectures, we can build self organizing clouds (SOC). It gathers unused resources over internet. Here each participant can act as both resource provider and requester. Fully distributed, Virtual Machine multiplexing resource allocation scheme is used to manage decentralized resources. Proportional share model aims at providing maximized resource utilization and optimal execution efficiency. Pointer-Gossiping CAN (PG-CAN) is used to locate qualified nodes with minimum contention. Existing solutions produces heavy weight query messages per tasks. These messages will utilize large amount of resources for computation. The above algorithms along with PG-CAN set up are used in order to produce light weight queries per task in our SOC. This set up can produce an improvement in system output by 15-60 percent than peer to peer model which was used earlier.

Keywords

Share This Page

Additional Info

Loading
Loading Please wait..
Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords