基於霧運算之物聯網服務的復原力軟體架構設計

胡永立

doi:10.6342/NTU201800576

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基於雾运算之物联网服务的复原力软体架构设计

Design of Resilient Software Architecture for Fog-Based Internet of Things Services

胡永立 , 博士　　导师：郭斯彦　　

英文 DOI： 10.6342/NTU201800576

雾运算；物联网服务；复杂事件处理；事件导向服务；程式抽象化；恢复力；错误容忍； Fog Computing ； IoT Services ； Complex Event Processing ； Event-Driven Services ； Programming Abstraction ； Resilience ； Fault Tolerance

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摘要 │ 参考文献 (90) │ 国际计量

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With the advent of the Internet of Things (IoT) era, a variety of terminal devices have entered the Internet and generated a lot of information, making the context-aware computing service model more widespread, which promotes the applications of smart city and Industry 4.0. The collected big data is sent to a central cloud system with sufficient computing and storage resources for big data analytics. However, moving this big volume of data from the network edge to the central data center for analytics not only adds latency but also consumes network bandwidth. Fog computing is employed to extend the intelligence of cloud computing to the edge of the application context to increase the responsiveness of real-time applications and reduce the latency in message delivery. Fog computing plays a vital role in various IoT application solutions, such as traffic flow control and air pollution monitoring.
Resilience means the ability to maintain the dependability of a system while the state of the context changes. It has become the main future research direction in the area of dependable computing. Fog computing is a system architecture that integrates highly heterogeneous software and hardware systems, which makes its computing environment highly undependable. Therefore, if the fog computing service to be one of the high-performance computing models, it is necessary to enhance the resilience of the fog computing system so that the operating environment still maintains its dependability even in the state under the dynamic changes.
Since developing fog computing systems for IoT applications will be more and more prevalent, related services and applications should also be gradually developed. Therefore, high resilient fog service systems will be the key in the area of smart city and industry 4.0 to determine whether the fog computing will further be developed into an emerging business model. The research challenges in designing resilient fog computing service system was be investigated and propose solutions in this thesis.
First, a fog-based event-driven service mechanism to build event-driven service on fog computing is proposed in this thesis. Furthermore, to evaluate correctness of propose service mechanism, a case study was devised to be examined, and proposed a evaluation system to evaluate correctness of event-driven service design. Second, a programming framework to assist application developers to program fault-tolerant mechanism on IoT device is proposed in this thesis. Application developers can realize fault-tolerant programming efficiently on IoT device, and the resilience of IoT applications executed on IoT device can be improved.

参考文献 ( 90 ) 〈TOP〉

[1] Varshney, P. and Simmhan, Y.: Demystifying Fog Computing: Characterizing Architectures, Applications, and Abstractions. In: 1st IEEE international Conference on Fog and Edge Computing (ICFEC), pp. 115-124. IEEE Press (2017).
连结：
[4] Wen, Z., Yang, R., Garraghan, P., Lin, T., Xu, J., and Rovatsos, M.: Fog Orchestration for Internet of Things Services. IEEE Internet Computing 21(2), 16-24 (2017).
连结：
[6] Gerla, M., Lee, E. K., Pau, G., and Lee, U: Internet of Vehicles: From Intelligent Grid to Autonomous Cars and Vehicular Clouds. In: IEEE World Forum on Internet of Things (WF-IoT), pp. 241–246. IEEE Press (2014).
连结：
[7] Luckham, D. C.: The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems. Addison-Wesley (2001).
连结：
[8] Terroso-Saenz, F., Valdes-Vela, M., Sotomayor-Martinez, C., Toledo-Moreo, R., and Gomez-Skarmeta, A. F.: A Cooperative Approach to Traffic Congestion Detection with Complex Event Processing and VANET. IEEE Transactions on Intelligent Transportation Systems 13(2), 914–929 (2012).
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引用含有DOI的文献

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