Multi Objective Service Selection Using Web Service Composition
R. Sudha1
Section:Research Paper, Product Type: Journal Paper
Volume-2 ,
Issue-11 , Page no. 65-68, Nov-2014
Online published on Nov 30, 2014
Copyright © R. Sudha . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How to Cite this Paper
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IEEE Style Citation: R. Sudha, “Multi Objective Service Selection Using Web Service Composition,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.11, pp.65-68, 2014.
MLA Style Citation: R. Sudha "Multi Objective Service Selection Using Web Service Composition." International Journal of Computer Sciences and Engineering 2.11 (2014): 65-68.
APA Style Citation: R. Sudha, (2014). Multi Objective Service Selection Using Web Service Composition. International Journal of Computer Sciences and Engineering, 2(11), 65-68.
BibTex Style Citation:
@article{Sudha_2014,
author = {R. Sudha},
title = {Multi Objective Service Selection Using Web Service Composition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2014},
volume = {2},
Issue = {11},
month = {11},
year = {2014},
issn = {2347-2693},
pages = {65-68},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=304},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=304
TI - Multi Objective Service Selection Using Web Service Composition
T2 - International Journal of Computer Sciences and Engineering
AU - R. Sudha
PY - 2014
DA - 2014/11/30
PB - IJCSE, Indore, INDIA
SP - 65-68
IS - 11
VL - 2
SN - 2347-2693
ER -
VIEWS | XML | |
3515 | 3368 downloads | 3666 downloads |
Abstract
The Web is a distributed, dynamic, and large information repository. However, a major drawback in this is that the Web contains much human consumable contents. The flaws that can be incurred are the user is ineffectual to incur his archetype data. To achieve an effective utilization of the multiple websites simultaneously, we go for Web services. Though, there are multiple web services available, the user is still inferior to his required data using a methodology called web service composition that facilitates users in accessing their desired services to retrieve their much required information to his need using queries. Genetic algorithms is used to adaptive heuristic search algorithms premised on the evolutionary ideas of natural selection used in solving various computational problems that demands optimization and adaptation to changing environments. Here, we provide access to multiple websites through web services where we can furnish all the required data.
Key-Words / Index Term
Web Service Composition, Multi Objective Service
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