@inproceedings{b5d100614a78458b88a9d7741a0a04c8,
title = "Fuzzy rule based web service composition in cloud",
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.",
keywords = "Cloud Computing, Fuzzy logic, Fuzzy Rule, Quality of Service, Service Composition, Web Service",
author = "Hussien Alhadithy and Bassam Al-Shargabi",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Computing Machinery. ACM; 1st International Conference on Data Science, E-Learning and Information Systems, DATA 2018 ; Conference date: 01-10-2018 Through 02-10-2018",
year = "2018",
month = oct,
day = "1",
doi = "10.1145/3279996.3280023",
language = "English",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
booktitle = "Proceedings of the 1st International Conference on Data Science, E-Learning and Information Systems, DATA 2018",
}