Proceedings ArticleDOI
Methodologies for selection of Quality Web Services to Develop Efficient Web Service Composition
S Subbulakshmi,Anvy Elsa Saji,Geethu Chandran +2 more
- pp 238-244
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TLDR
The proposed research work elaborates the research work on different methodologies of QoS prediction with its implications to provide a proper road map for future research on efficient service composition.Abstract:
Web Services are materialized as a major technology carried out for automated interaction between distributed and miscellaneous applications. It is defined as a software service that provides business solutions consumed by different service requester. It can be accessed by a standard web protocol. Service composition is the mechanism used for selecting, reusing and combining existing web services to build new web services. With immense increase in web services, quality assessment plays an essential role in the selection approach. QoS is defined as the ability to guarantee the requirements like latency, reliability, bandwidth, etc. in order to satisfy a service level agreement between an application provider and end-user. QoS based dynamic service composition leads to the upward growth of an organization that implements multiple services to provide its business solution. The proposed research work elaborates the research work on different methodologies of QoS prediction with its implications to provide a proper road map for future research on efficient service composition.read more
Citations
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Book ChapterDOI
Optimized Web Service Composition Using Evolutionary Computation Techniques
TL;DR: In this article, an optimal method for predicting QoS values of web service is implemented where credibility evaluation is computed by accumulating reputation and trustworthiness, and an automatic approach for weight calculation is invoked to calculate the weight of QoS attributes.
Book ChapterDOI
Optimized Web Service Composition Using Hybrid Evolutionary Algorithms
TL;DR: In this paper , the authors used particle swarm optimization (PSO) and ant colony optimization (ACO) techniques to address the service composition problem using quality of service (QoS) parameters.
Proceedings ArticleDOI
Binary Classification Architecture for Edge Computing Based on Cognitive Services and Deep Neural Networks
TL;DR: In this paper , a classification architecture based on remote web services and local neural networks is proposed, which allows to extend the possibility of image recognition by integrating web services that combined with edge processing accelerate the identification process.
References
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Journal ArticleDOI
Collaborative QoS prediction with context-sensitive matrix factorization
TL;DR: A general context-sensitive matrix-factorization approach (CSMF) is proposed to make collaborative QoS prediction that significantly outperforms the-state-of-art methods in metric of prediction accuracy and is more effective and robust.
Journal ArticleDOI
A two-phase framework for quality-aware Web service selection
TL;DR: An evolutionary algorithm is presented that is able to “co-evolve” multiple feasible execution plans simultaneously and allows them to compete with each other to generate the best plan.
Journal ArticleDOI
A Personalized QoS Prediction Method for Web Services via Blockchain-Based Matrix Factorization.
Weihong Cai,Xin Du,Jianlong Xu +2 more
TL;DR: A user verification approach based on homomorphic hash is developed, and the Byzantine agreement is used to remove unreliable users and the proposed blockchain-based matrix factorization (BMF) significantly outperforms existing approaches, making it much more effective than traditional techniques.
Journal ArticleDOI
Bootstrapping quality of Web Services
TL;DR: A QoSbootstrapping solution for Web Services is proposed and a QoS bootstrapping framework is built and a prototype is built to support QoSBootstrapping QoS is the process of evaluating the QoS of the newly registered services at the time of publishing the services.