Fog Orchestration for Internet of Things Services

Wen, Zhenyu and Yang, Renyu and Garraghan, Peter and Lin, Tao and Xu, Jie and Rovatsos, Michael (2017) Fog Orchestration for Internet of Things Services. IEEE Internet Computing, 21 (2). pp. 16-24. ISSN 1089-7801

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Abstract: Large-scale Internet of Things (IoT) services such as healthcare, smart cities, and marine monitoring are pervasive in cyber-physical environments strongly supported by Internet technologies and fog computing. Complex IoT services are increasingly composed of sensors, devices, and compute resources within fog computing infrastructures. The orchestration of such applications can be leveraged to alleviate the difficulties of maintenance and enhance data security and system reliability. However, efficiently dealing with dynamic variations and transient operational behavior is a crucial challenge within the context of choreographing complex services. Furthermore, with the rapid increase of the scale of IoT deployments, the heterogeneity, dynamicity, and uncertainty within fog environments and increased computational complexity further aggravate this challenge. This article gives an overview of the core issues, challenges, and future research directions in fog-enabled orchestration for IoT services. Additionally, it presents early experiences of an orchestration scenario, demonstrating the feasibility and initial results of using a distributed genetic algorithm in this context.

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Journal Article
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IEEE Internet Computing
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24 Aug 2017 07:58
Last Modified:
11 May 2022 05:28