Event Matchmaking Technique in dynamic web service discovery

Dharanyadevi, P.; Dhavachelvan, P.; Jayakumar, S.; Sujatha, P.; Baskaran, R.

doi:10.1109/icrtit.2011.5972407

Cited by 2 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At the end of every propagation of CSA, the size of cuckoo nests gains when compared to the sign number of nests. Hence the hazy set theory [6] is used to select the best via media solution (which is equal to the sign number of nests) that would be alert for the coming generations [11]. Inclusion of hazy set theory will be thrown away or vacate the solution (nest) which is a far away from the best root.…”

Section: Multi Objective Cuckoo Search Algorithmmentioning

confidence: 99%

Machine driven and effectual web service discovery by hybrid algorithm

Amirthasaravanan¹,

Rodrigues²,

Sudhesh³

2015

ams

View full text Add to dashboard Cite

Web Service is an open standard based web applications that interact with other web applications for the reason of exchanging data. Web service is self telling service that will perform fine tasks and can be accessed through the web. Web services discovery have the Hyperlink-Induced Topic Search (HITS) linking analysis algorithm that rates Web pages. The increasing convolution of compositions and the ration of people and services involve adaptive and contextaware contact models. This method is an imperative for the internet penetrating techniques. But this emerging technique faces Topic drift problem which is a pitfall in web service discovery. This paper we introduce HYBRID algorithm to endorse Topic drift drawback. This algorithm is combination of Multi Objective Bat Algorithm (MOBA) and Multi objective cuckoo search (MOCS) algorithms .MOBA is used for the multi data access and the MOCS algorithm is used for fast access techniques .By using this HYBRID algorithm the efficiency and accuracy can be improved. So this technique is called as HYBRID algorithm (MOBA &MOCS). The experimental evaluation shows that this algorithm reduces topic drifting problem and increases the accuracy of the web services discovery.

show abstract

Section: Multi Objective Cuckoo Search Algorithmmentioning

confidence: 99%