Indexer Based Dynamic Web Services Discovery

TL;DR

This paper introduces a novel dynamic web services discovery mechanism that improves speed, accuracy, and relevance by using indexing, categorization, caching, and constraint solving, addressing limitations of static discovery methods.

Contribution

It presents an efficient, scalable, and quality-focused discovery framework incorporating indexing, categorization, caching, and constraint solving for real-time web service discovery.

Findings

Enhanced discovery speed and accuracy.

Better handling of updated and relevant services.

Improved scalability and flexibility.

Abstract

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.