Title
An Evaluation of Optimisation Approaches in Cloud of Things Resource Trading
Abstract
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.
Year
DOI
Venue
2018
10.1109/FiCloud.2018.00038
2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)
Keywords
Field
DocType
Cloud Computing, Internet of Things, Cloud of Things, Trading, Optimisation
Resource management,Task analysis,Computer science,Internet of Things,Resource allocation,Systems architecture,Cloud of things,Distributed computing,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-7504-5
1
0.36
References 
Authors
22
4
Name
Order
Citations
PageRank
Ahmed Salim Al Rawahi110.36
Kevin Lee234027.53
Jon Robinson310.36
Lofti A. Zadeh4145273847.07