TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds
Cloud computing plays a major role in smart cities development by facilitating the delivery of various services in an efficient and effective manner. In a Peer-to-Peer (P2P) federated clouds ecosystem, multiple Cloud Service Providers (CSPs) collaborate and share services among them when experiencin...
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Format: | Article |
Language: | English |
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Hindawi Publishing Corporation
2018
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Online Access: | http://hdl.handle.net/1721.1/114842 https://orcid.org/0000-0003-4776-2216 |
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author | Alshayban, Bushra Altoaimy, Lina Alsalamah, Shada Kurdi, Heba A. |
author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Alshayban, Bushra Altoaimy, Lina Alsalamah, Shada Kurdi, Heba A. |
author_sort | Alshayban, Bushra |
collection | MIT |
description | Cloud computing plays a major role in smart cities development by facilitating the delivery of various services in an efficient and effective manner. In a Peer-to-Peer (P2P) federated clouds ecosystem, multiple Cloud Service Providers (CSPs) collaborate and share services among them when experiencing a shortage in certain resources. Hence, incoming service requests to this specific resource can be delegated to other members. Nevertheless, the lack of preexisting trust relationship among CSPs in this distributed environment can affect the quality of service (QoS). Therefore, a trust management system is required to assist trustworthy peers in seeking reliable communication partners. We address this challenge by proposing TrustyFeer, a trust management system that allows peers to evaluate the trustworthiness of other peers based on subjective logic opinions, formulated using peers’ reputations and Service Level Agreements (SLAs). To demonstrate the utility of TrustyFeer, we evaluate the performance of our method against two long-standing trust management systems. The simulation results show that TrustyFeer is more robust in decreasing the percentage of services that do not conform to SLAs and increasing the success rate of exchanged services by good CSPs conforming to SLAs. This should provide a trustworthy federated clouds ecosystem for a better, more sustainable future. |
first_indexed | 2024-09-23T09:36:58Z |
format | Article |
id | mit-1721.1/114842 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T09:36:58Z |
publishDate | 2018 |
publisher | Hindawi Publishing Corporation |
record_format | dspace |
spelling | mit-1721.1/1148422022-09-26T12:40:34Z TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds Alshayban, Bushra Altoaimy, Lina Alsalamah, Shada Kurdi, Heba A. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Massachusetts Institute of Technology. Department of Mechanical Engineering Kurdi, Heba A. Cloud computing plays a major role in smart cities development by facilitating the delivery of various services in an efficient and effective manner. In a Peer-to-Peer (P2P) federated clouds ecosystem, multiple Cloud Service Providers (CSPs) collaborate and share services among them when experiencing a shortage in certain resources. Hence, incoming service requests to this specific resource can be delegated to other members. Nevertheless, the lack of preexisting trust relationship among CSPs in this distributed environment can affect the quality of service (QoS). Therefore, a trust management system is required to assist trustworthy peers in seeking reliable communication partners. We address this challenge by proposing TrustyFeer, a trust management system that allows peers to evaluate the trustworthiness of other peers based on subjective logic opinions, formulated using peers’ reputations and Service Level Agreements (SLAs). To demonstrate the utility of TrustyFeer, we evaluate the performance of our method against two long-standing trust management systems. The simulation results show that TrustyFeer is more robust in decreasing the percentage of services that do not conform to SLAs and increasing the success rate of exchanged services by good CSPs conforming to SLAs. This should provide a trustworthy federated clouds ecosystem for a better, more sustainable future. 2018-04-20T22:03:55Z 2018-04-20T22:03:55Z 2018-02 2018-01 2018-03-01T08:04:32Z Article http://purl.org/eprint/type/JournalArticle 1530-8669 1530-8677 http://hdl.handle.net/1721.1/114842 Kurdi, Heba, et al. “TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds.” Wireless Communications and Mobile Computing, vol. 2018, 2018, pp. 1–13. © 2018 Heba Kurdi et al. https://orcid.org/0000-0003-4776-2216 en http://dx.doi.org/10.1155/2018/1073216 Wireless Communications and Mobile Computing Creative Commons Attribution http://creativecommons.org/licenses/by/4.0/ Copyright © 2018 Heba Kurdi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. application/pdf Hindawi Publishing Corporation Hindawi Publishing Corporation |
spellingShingle | Alshayban, Bushra Altoaimy, Lina Alsalamah, Shada Kurdi, Heba A. TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds |
title | TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds |
title_full | TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds |
title_fullStr | TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds |
title_full_unstemmed | TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds |
title_short | TrustyFeer: A Subjective Logic Trust Model for Smart City Peer-to-Peer Federated Clouds |
title_sort | trustyfeer a subjective logic trust model for smart city peer to peer federated clouds |
url | http://hdl.handle.net/1721.1/114842 https://orcid.org/0000-0003-4776-2216 |
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