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Issue No. 02 - Mar.-Apr. (2017 vol. 21)
ISSN: 1089-7801
pp: 16-24
Zhenyu Wen , University of Edinburgh
Renyu Yang , Beihang University
Peter Garraghan , University of Lancaster
Tao Lin , École Polytechnique Fédérale de Lausanne
Jie Xu , University of Leeds
Michael Rovatsos , University of Edinburgh
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.
Internet of things, Large-scale systems, Edge computing, Distributed computing

Z. Wen, R. Yang, P. Garraghan, T. Lin, J. Xu and M. Rovatsos, "Fog Orchestration for Internet of Things Services," in IEEE Internet Computing, vol. 21, no. 2, pp. 16-24, 2017.
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