UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 10 | Issue 2 | February 2023

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 3 Issue 6
June-2016
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1606031


Registration ID:
160271

Page Number

188-191

Share This Article


Jetir RMS

Title

Query Bound Application Offloading: Approach Towards Increase Performance of Big Data Computing

Abstract

An offloading framework is used to offload source code among server and it’s clients. Source code mainly distributed to I/O node and data node. The offloading mechanism assigns I/O bound and data bound modules to respective I/O node and data node. Data transmission decreased by offloading framework by partition I/O bound and data intensive applications. This system deals with data sharing over a client server application and offloading of executable code[2]. This approach improves performance of the communication between two systems and this performance is evaluated by implementing offloading framework on client server application. By executing five real time applications on heterogeneous and homogeneous environment, we get results which show that offloading framework increases overall system performance by factor upto 90.1% with 75.5% average. Also this testing shows that an offloading framework reduces network load introduced by client server application by factor between 35 and 68.

Key Words

I/O intensive, offloading, data intensive, high performance computing.

Cite This Article

"Query Bound Application Offloading: Approach Towards Increase Performance of Big Data Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 6, page no.188-191, June-2016, Available :http://www.jetir.org/papers/JETIR1606031.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Query Bound Application Offloading: Approach Towards Increase Performance of Big Data Computing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 6, page no. pp188-191, June-2016, Available at : http://www.jetir.org/papers/JETIR1606031.pdf

Publication Details

Published Paper ID: JETIR1606031
Registration ID: 160271
Published In: Volume 3 | Issue 6 | Year June-2016
DOI (Digital Object Identifier):
Page No: 188-191
Country: Pune, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

0003013

Print This Page

Current Call For Paper

Jetir RMS