An evaluation of optimisation approaches in Cloud of Things resource trading

Al Rawahi, A.S. ORCID: 0000-0003-1990-5101, Lee, K. ORCID: 0000-0002-2730-9150, Robinson, J. ORCID: 0000-0003-4318-7365 and Lotfi, A. ORCID: 0000-0002-5139-6565, 2018. An evaluation of optimisation approaches in Cloud of Things resource trading. In: M. Younas and J.P. Disso, eds., Proceedings: FiCloud 2018: IEEE 6th International Conference on Future Internet of Things and Cloud, Barcelona, Spain, 6-8 August 2018. Piscataway, N.J.: Institute of Electrical and Electronics Engineers, pp. 208-215. ISBN 9781538675038

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Cloud Computing and Internet of Things (IoT) have evolved to meet the requirements of many real-world applications. Many of these requirements cannot be fulfilled by using either technology separately. In order to fulfil such diverse requirements, the integration of Cloud Computing and IoT is emerging as a new paradigm called Cloud of Things (CoT). CoT is expected to host heterogeneous resources and fulfil complex requirements of resource providers and consumers. This complexity poses a real challenge for resource allocation in CoT. To tackle this challenge, resource allocation is described as a trading optimisation problem and utility functions are used to rank candidate resource allocation assignments. The contributions of this paper are 1) introducing vocabularies needed for trading CoT resources 2) proposing a marketplace system architecture to enable efficient trading of CoT resources 3) examining the use of different utility functions to rank candidate resource assignments 4) performing simulations to validate the effectiveness of the proposed approach using three optimisation algorithms.

Item Type: Chapter in book
Creators: Al Rawahi, A.S., Lee, K., Robinson, J. and Lotfi, A.
Publisher: Institute of Electrical and Electronics Engineers
Place of Publication: Piscataway, N.J.
Date: 2018
ISBN: 9781538675038
Divisions: Schools > School of Science and Technology
Record created by: Jonathan Gallacher
Date Added: 26 Jul 2018 10:16
Last Modified: 19 Nov 2018 16:38

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