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Fuzzy rule based web service composition in cloud

Published: 01 October 2018 Publication History

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Abstract

Cloud Computing has drawn much attention in industry due its efficient cost schema along with more prospects such as elasticity and scalability nature of Cloud Computing. One of the main service model of Cloud is Software as Service, where many Web services are published and hosted in Cloud. Many Web Services in Cloud offers the same functionality but with different Quality of Service (QoS). In addition, as individual web services are limited in their capability, which created the need for composing more than web service to create new functionality in the form of composite service to fulfill the requirement Cloud Consumer certain process. Therefore, a model is proposed to compose web services using fuzzy rule, where the selection of composed web services from Cloud based on QoS that fulfill user requirements and its constraints. Moreover, the proposed model is provided with module that is responsible for monitoring the execution of composed service in case of one the composed service become unavailable, the agent will replace the unavailable service with new service that match user requirements and the generated fuzzy rules and will come up with new composition plan.

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Cited By

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  • (2023)A review on quality of experience (QoE) in cloud computingJournal of Reliable Intelligent Environments10.1007/s40860-023-00210-y10:2(107-121)Online publication date: 25-Jun-2023
  • (2020)Web Service Composition in Cloud: A Fuzzy Rule ModelRecent Advances in Computer Science and Communications10.2174/221327591266618122714291613:3(446-453)Online publication date: 12-Aug-2020

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    cover image ACM Other conferences
    DATA '18: Proceedings of the First International Conference on Data Science, E-learning and Information Systems
    October 2018
    274 pages
    ISBN:9781450365369
    DOI:10.1145/3279996
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 01 October 2018

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    Author Tags

    1. cloud computing
    2. fuzzy logic
    3. fuzzy rule
    4. quality of service
    5. service composition
    6. web service

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    • (2023)A review on quality of experience (QoE) in cloud computingJournal of Reliable Intelligent Environments10.1007/s40860-023-00210-y10:2(107-121)Online publication date: 25-Jun-2023
    • (2020)Web Service Composition in Cloud: A Fuzzy Rule ModelRecent Advances in Computer Science and Communications10.2174/221327591266618122714291613:3(446-453)Online publication date: 12-Aug-2020

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