2019 Vol.2 Oct. No.5

• Title: Research on Reliable Service Combination Strategy Based on Blockchain Mechanism
• Name: Patricia Wombacher
• Company: KBU International College
• Abstract:

  In the cloud computing environment, the service combination has the characteristics of large scale, high complexity, many failure types and dynamic resource changes. Therefore, the safe and reliable service combination scheme is the most flexible challenge for the massive deployment of massive service resources in the cloud environment. Based on the design of the service composition architecture based on the service level overlay network SON and the service composition system of the SON+ blockchain infrastructure, the construction of the service composition system based on the blockchain was completed, and the design service path selection algorithm was finally completed. The research on the reliable service combination strategy of the blockchain mechanism shows that the service composition realization strategy based on the blockchain mechanism greatly improves the success rate and availability of the combined service execution, making the service combination strategy more reliable.

• Keyword: Blockchain Mechanism; Service Composition; Architecture; Path Algorithm;
• DOI: 10.12250/jpciams2019050555
• Citation form: Patricia Wombacher.Research on Reliable Service Combination Strategy Based on Blockchain Mechanism[J]. Computer Informatization and Mechanical System, 2019, vol. 2, pp. 26-30.

[1] JiJianxin. Research on Extraction and detection of intrusion feature information in mobile network [J]. Computer Simulation, 2017, 34(3):289-292.

[2] Harrou F, Sun Y, Taghezouit B, et al. Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches[J]. Renewable Energy, 2017, 116.

[3] Qi J, Wu D. Green Energy Management of the Energy Internet Based on Service Composition Quality[J]. IEEE Access, 2018, PP(99):1-1.

[4] Pan Y. Bi-level programming optimization method for cloud manufacturing service composition based on harmony search[J]. Journal of Computational Science, 2017.

[5] Esposito C, Ficco M, Palmieri F, et al. Smart Cloud Storage Service Selection Based on Fuzzy Logic, Theory of Evidence and Game Theory[J]. IEEE Transactions on Computers, 2016, 65(8):2348-2362.

[6] Chen I R, Guo J, Bao F. Trust Management for SOA-Based IoT and Its Application to Service Composition[J]. IEEE Transactions on Services Computing, 2017, 9(3):482-495.

[7] Amarouche I A, Benslimane D, Barhamgi M, et al. Electronic Health Record Data-as-a-Services Composition Based on Query Rewriting[J]. Lecture Notes in Computer Science, 2016, 4:95-123.

[8] Viryasitavat W, Xu L D, Bi Z, et al. Blockchain-based business process management (BPM) framework for service composition in industry 4.0[J]. Journal of Intelligent Manufacturing, 2018:1-12.

[9] Mei Y, Omidvar M N, Li X, et al. A Competitive Divide-and-Conquer Algorithm for Unconstrained Large-Scale Black-Box Optimization[J]. Acm Transactions on Mathematical Software, 2016, 42(2):13.

[10] Zhang Y, Lei T, Qin Z, et al. A Service Recommendation Algorithm Based on Modeling of Dynamic and Diverse Demands[J]. International Journal of Web Services Research, 2018, 15(1):47-70.