Blockchain-based trust management in cloud computing systems: a taxonomy, review and future directions

被引:0
作者
Wenjuan Li
Jiyi Wu
Jian Cao
Nan Chen
Qifei Zhang
Rajkumar Buyya
机构
[1] Hangzhou Normal University,Qianjiang College
[2] Artificial Intelligence Association of Zhejiang Province,Department of Computer Science and Engineering
[3] Shanghai Jiao Tong University,School of Software Technology
[4] Zhejiang University,Cloud Computing and Distributed Systems (CLOUDS) Laboratory
[5] the University of Melbourne,undefined
来源
Journal of Cloud Computing | / 10卷
关键词
Decentralized trust management; Blockchain technology; Cloud computing; Distributed ledger;
D O I
暂无
中图分类号
学科分类号
摘要
Through virtualization and resource integration, cloud computing has expanded its service area and offers a better user experience than the traditional platforms, along with its business operation model bringing huge economic and social benefits. However, a large amount of evidence shows that cloud computing is facing with serious security and trust crisis, and building a trust-enabled transaction environment has become its key factor. The traditional cloud trust model usually adopts a centralized architecture, which causes large management overhead, network congestion and even single point of failure. Furthermore, due to a lack of transparency and traceability, trust evaluation results cannot be fully recognized by all participants. Blockchain is a new and promising decentralized framework and distributed computing paradigm. Its unique features in operating rules and traceability of records ensure the integrity, undeniability and security of the transaction data. Therefore, blockchain is very suitable for constructing a distributed and decentralized trust architecture. This paper carries out a comprehensive survey on blockchain-based trust approaches in cloud computing systems. Based on a novel cloud-edge trust management framework and a double-blockchain structure based cloud transaction model, it identifies the open challenges and gives directions for future research in this field.
引用
收藏
相关论文
共 200 条
  • [1] Xu M(2019)Brownout approach for adaptive Management of Resources and Applications in cloud computing systems ACM Comput Surve 52 1-27
  • [2] Buyya R(2010)Cognitive model of dynamic trust forecasting J Software 21 163-176
  • [3] Li X(2015)GenTrust: a genetic trust management model for peer-to-peer systems Appl Soft Comput 34 693-704
  • [4] Gui X(2015)Trust calculation with ant Colony optimization in online social networks Procedia Computer Sci 54 186-195
  • [5] Tahta U(2021)The cloud-edge-based dynamic reconfiguration to service workflow for Mobile ecommerce environments: a QoS prediction perspective ACM Transact Int Technol 21 1-23
  • [6] Sen S(2014)Trust-driven and QoS demand clustering analysis based cloud workflow scheduling strategies Cluster Comput 17 1013-1030
  • [7] Can A(2015)Trust based service optimization selection for cloud computing Int J Multimedia Ubiquitous Engineering 105 221-230
  • [8] Sanadhya S(2019)Blockchain-based secure and trustworthy internet of things in SDN-enabled 5G-VANETs IEEE Access 7 56656-56666
  • [9] Singh S(2020)AuthPrivacyChain: a Blockchain-based access control framework with privacy protection in cloud IEEE Access 2020 70604-70615
  • [10] Gao H(2015)Trust in Cloud Computing: a User’s perspective. Proceedings of the IEEE SoutheastCon 2015 IEEE 2015 1-8