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Service Operator-Aware Trust Scheme for Resource Matchmaking across Multiple Clouds

Published: 01 May 2015 Publication History

Abstract

This paper proposes a service operator-aware trust scheme (SOTS) for resource matchmaking across multiple clouds. Through analyzing the built-in relationship between the users, the broker, and the service resources, this paper proposes a middleware framework of trust management that can effectively reduces user burden and improve system dependability. Based on multidimensional resource service operators, we model the problem of trust evaluation as a process of multi-attribute decision-making, and develop an adaptive trust evaluation approach based on information entropy theory. This adaptive approach can overcome the limitations of traditional trust schemes, whereby the trusted operators are weighted manually or subjectively. As a result, using SOTS, the broker can efficiently and accurately prepare the most trusted resources in advance, and thus provide more dependable resources to users. Our experiments yield interesting and meaningful observations that can facilitate the effective utilization of SOTS in a large-scale multi-cloud environment.

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    Information & Contributors

    Information

    Published In

    cover image IEEE Transactions on Parallel and Distributed Systems
    IEEE Transactions on Parallel and Distributed Systems  Volume 26, Issue 5
    May 2015
    291 pages

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    IEEE Press

    Publication History

    Published: 01 May 2015

    Author Tags

    1. resource matchmaking
    2. Cloud broker
    3. multi-cloud environment
    4. service operator
    5. trust scheme

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    View all
    • (2024)CREDIT: A Credible Trust Framework for Dynamic Mobile Data Pricing EnforcementIEEE Transactions on Network and Service Management10.1109/TNSM.2024.341131221:4(4332-4342)Online publication date: 7-Jun-2024
    • (2024)Intelligent Computing Making Access Control More Secure: From Cipher to TrustAdvanced Intelligent Computing Technology and Applications10.1007/978-981-97-5603-2_25(307-317)Online publication date: 5-Aug-2024
    • (2020)Optimization of Metascheduler for Cloud Machine Learning ServicesWireless Personal Communications: An International Journal10.1007/s11277-020-07367-2114:1(367-388)Online publication date: 1-Sep-2020
    • (2020)Smart Contracts for Service-Level Agreements in Edge-to-Cloud ComputingJournal of Grid Computing10.1007/s10723-020-09534-y18:4(673-690)Online publication date: 1-Dec-2020
    • (2019)Trust Evaluation in Cross-Cloud FederationACM Computing Surveys10.1145/329249952:1(1-37)Online publication date: 13-Feb-2019
    • (2017)Big Search in CyberspaceIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2017.269967529:9(1793-1805)Online publication date: 4-Aug-2017
    • (2015)T-Broker: A Trust-Aware Service Brokering Scheme for Multiple Cloud Collaborative ServicesIEEE Transactions on Information Forensics and Security10.1109/TIFS.2015.241338610:7(1402-1415)Online publication date: 1-Jul-2015

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