JCDTA: The Data Trading Archtecture Design in JointCloud Computing

• Published in: 2018 IEEE 24th International Conference on Parallel and Distributed Systems (ICPADS) pp. 1 - 6
• Main Authors: Yue, Xikun, Wang, Huaimin, Liu, Wei, Li, Wei, Shi, Peichang, Ouyang, Xue
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2018
• Subjects: Blockchain; Cloud computing; Computer architecture; Data privacy; Data Trading; Distributed databases; Encryption; JointCloud Computing
• DOI: 10.1109/PADSW.2018.8644552

JointCloud computing is a new generation cloud computing model based on collaboration among Cloud Service Providers, making resources from multiple clouds deeply integrated., and supporting customize cloud service. To achieve the data confirmation Right when doing data trading to prevent resell is one of the most important challenges faced by such JointCloud environment. In this paper, we propose the JointCloud Computing Data Trading Architecture (JCDTA), an optimized data trading architecture for cross-stakeholder. Firstly, the announced mechanism is used to extract the data resources summary and the owner information into blockchain. Secondly, the untampering of the blockchain is used to record the data resources information, such as data resources statement information, data resources transaction records and data resources operation records. Finally, the supervision mechanism confirms the declaration of the data sources while the encryption technology ensures the privacy of the data resources. JCDTA guarantees the security and the reliability of data trading in the JointCloud environment and ensures the value invariance of data resources.