- Title
- Blockchain for cloud exchange : a survey
- Creator
- Xie, Shaoan; Zheng, Zibin; Chen, Weili; Wu, Jiajing; Dai, Hong-Ning; Imran, Muhammad
- Date
- 2020
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/184364
- Identifier
- vital:16488
- Identifier
-
https://doi.org/10.1016/j.compeleceng.2019.106526
- Identifier
- ISBN:0045-7906 (ISSN)
- Abstract
- Compared with single cloud service providers, cloud exchange provides users with lower price and flexible options. However, conventional cloud exchange markets are suffering from a number of challenges such as central architecture being vulnerable to malicious attacks and cheating behaviours of third-party auctioneers. The recent advances in blockchain technologies bring the opportunities to overcome the limitations of cloud exchange. However, the integration of blockchain with cloud exchange is still in infancy and extensive research efforts are needed to tackle a number of research challenges. To bridge this gap, this paper presents an overview on using blockchain for cloud exchange. In particular, we first give an overview on cloud exchange. We then briefly survey blockchain technology and discuss the issues on using blockchain for cloud exchange in aspects of security, privacy, reputation systems and transaction management. Finally, we present the open research issues in this promising area. © 2019
- Publisher
- Elsevier Ltd
- Relation
- Computers and Electrical Engineering Vol. 81, no. (2020), p.
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright @ 2019 Elsevier Ltd.
- Subject
- 4603 Computer Vision and Multimedia Computation; 4606 Distributed Computing and Systems Software; Blockchain; Cloud exchange; Decentralization; Industrial internet of things; Reputation systems
- Reviewed
- Funder
- The work described in this paper was supported by the National Key Research and Development Program ( 2016YFB1000101 ), the National Natural Science Foundation of China ( 61472338, U1811462 ). Imran’s work is supported by the Deanship of Scientific Research at King Saud University through research group number RG-1435-051 .
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