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      The Effects of Relative Importance of User Constraints in Cloud of Things Resource Discovery: A Case Study

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          Abstract

          Over the last few years, the number of smart objects connected to the Internet has grown exponentially in comparison to the number of services and applications. The integration between Cloud Computing and Internet of Things, named as Cloud of Things, plays a key role in managing the connected things, their data and services. One of the main challenges in Cloud of Things is the resource discovery of the smart objects and their reuse in different contexts. Most of the existent work uses some kind of multi-criteria decision analysis algorithm to perform the resource discovery, but do not evaluate the impact that the user constraints has in the final solution. In this paper, we analyse the behaviour of the SAW, TOPSIS and VIKOR multi-objective decision analyses algorithms and the impact of user constraints on them. We evaluated the quality of the proposed solutions using the Pareto-optimality concept.

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          Context Aware Computing for The Internet of Things: A Survey

          As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.
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            A state-of the-art survey of TOPSIS applications

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              Semantic Interoperability Architecture for Pervasive Computing and Internet of Things

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                Author and article information

                Journal
                2016-11-16
                Article
                1611.05170

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Proceedings of the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) Shaghai, China, December, 2016
                Proceedings of the 9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2016) Shaghai, China, December, 2016
                cs.AI cs.DC

                Networking & Internet architecture, Artificial intelligence

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