Context aware SOA based discovery in mobile environment by bi-matchmaking technique

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

doi:10.1109/icrtit.2011.5972326

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…Cuckoo Search (CS) [5,7] is an optimization algorithm was developed by Yang and Deb in year 2009. Cuckoo Search, is inspired by the life of a bird family, Cuckoo birds have an antagonistic imitation in which females seize and lay their fertilized eggs in other birds' nests.…”

Section: Csmentioning

confidence: 99%

“…The main aim of this paper is to show the efficiency of the cuckoo search algorithm [5] in solving UCP and to propose a fresh MOCS to reject the role of the conclusion maker (system operator) in setting the reeling reserve in UCP. In MOUCP problem [12], is similar to other evolutionary process, cuckoo search algorithm begins with an initial frozen number of cuckoo nests [7].…”

Section: Multi Objective Cuckoo Search Algorithmmentioning

confidence: 99%

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Machine driven and effectual web service discovery by hybrid algorithm

Amirthasaravanan¹,

Rodrigues²,

Sudhesh³

2015

ams

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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.

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Section: Csmentioning

confidence: 99%

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

show abstract

“…Existing service matchmaking techniques [2,3,4] are facilitated by matching the service requirements with the registered services, and based on the amount of match, the desired services are ranked. These matchmaking techniques do not give optimal solutions and also sometimes such ranking techniques also incur information loss.…”

Section: Introductionmentioning

confidence: 99%