Computer Science – Artificial Intelligence
Scientific paper
2010-03-07
Computer Science
Artificial Intelligence
Pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS, Vol. 7 No. 2, February 2010, US
Scientific paper
Recent advancement in web services plays an important role in business to business and business to consumer interaction. Discovery mechanism is not only used to find a suitable service but also provides collaboration between service providers and consumers by using standard protocols. A static web service discovery mechanism is not only time consuming but requires continuous human interaction. This paper proposed an efficient dynamic web services discovery mechanism that can locate relevant and updated web services from service registries and repositories with timestamp based on indexing value and categorization for faster and efficient discovery of service. The proposed prototype focuses on quality of service issues and introduces concept of local cache, categorization of services, indexing mechanism, CSP (Constraint Satisfaction Problem) solver, aging and usage of translator. Performance of proposed framework is evaluated by implementing the algorithm and correctness of our method is shown. The results of proposed framework shows greater performance and accuracy in dynamic discovery mechanism of web services resolving the existing issues of flexibility, scalability, based on quality of service, and discovers updated and most relevant services with ease of usage.
Bashir Saba
Hayat Khiyal Malik Sikandar
Javed Younus M.
Khan Aihab
Khan Farhan Hassan
No associations
LandOfFree
Indexer Based Dynamic Web Services Discovery does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Indexer Based Dynamic Web Services Discovery, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Indexer Based Dynamic Web Services Discovery will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-668178