Article

A Reputation-Based Approach to Improve QoS in Cloud Service Composition

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Giuseppe M. L. SarnéAuthors Info & Claims

WETICE '15: Proceedings of the 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises

Pages 108 - 113

https://doi.org/10.1109/WETICE.2015.28

Published: 15 June 2015 Publication History

Abstract

Cloud Computing is a versatile computing paradigm capable of attracting a wide variety of applications. However, the necessity to provide a wide range of complex services led providers to establish mutual agreements to provide large-scale distributed multi-cloud environments. Providers gain the opportunity to compose service workflows that are effective and efficient, taking resources of their own competitors, and the capability to satisfy unexpected workload peaks. In this paper, we propose a reputation-based model aiming at supporting the service composition by considering measures of QoS collected by the measuring systems, and reputation measures collected with the customers by means of users feedback.

Cited By

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Feng XGao HZhang C(2022)Cloud Computing Resource Prediction Model Based on Time Convolutional NetworkMobile Information Systems10.1155/2022/92266472022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/9226647
Zhang GLiu LGuo H(2021)Investigating the Impact of Cloud Computing Vendor on the Adoption of Cloud ComputingMobile Information Systems10.1155/2021/65579372021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6557937
Loch WKoslovski GPillon MMiers CPasin M(2021)A novel blockchain protocol for selecting microservices providers and auditing contractsJournal of Systems and Software10.1016/j.jss.2021.111030180:COnline publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1016/j.jss.2021.111030

A Reputation-Based Approach to Improve QoS in Cloud Service Composition
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures

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WETICE '15: Proceedings of the 2015 IEEE 24th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises

June 2015

242 pages

ISBN:9781467376921

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IEEE Computer Society

United States

Publication History

Published: 15 June 2015

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Feng XGao HZhang C(2022)Cloud Computing Resource Prediction Model Based on Time Convolutional NetworkMobile Information Systems10.1155/2022/92266472022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/9226647
Zhang GLiu LGuo H(2021)Investigating the Impact of Cloud Computing Vendor on the Adoption of Cloud ComputingMobile Information Systems10.1155/2021/65579372021Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.1155/2021/6557937
Loch WKoslovski GPillon MMiers CPasin M(2021)A novel blockchain protocol for selecting microservices providers and auditing contractsJournal of Systems and Software10.1016/j.jss.2021.111030180:COnline publication date: 1-Oct-2021
https://dl.acm.org/doi/10.1016/j.jss.2021.111030

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Agent-based Cloud service composition

A QoS-Aware Service Selection Method for Cloud Service Composition

Cloud Architecture for Dynamic Service Composition

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