An Evaluation of Optimisation Approaches in Cloud of Things Resource Trading

Ahmed Salim Al Rawahi, Kevin Lee, Jon Robinson, Ahmad Lotfi
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引用次数: 3

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.
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物联网资源交易优化方法评价
云计算和物联网(IoT)已经发展到满足许多实际应用的需求。单独使用任何一种技术都无法满足其中的许多需求。为了满足这种多样化的需求,云计算和物联网的集成正在作为一种称为物联网云(CoT)的新范式出现。期望CoT承载异构资源,并满足资源提供者和消费者的复杂需求。这种复杂性对CoT中的资源分配构成了真正的挑战。为了解决这一挑战,资源分配被描述为一个交易优化问题,并使用效用函数对候选资源分配分配进行排序。本文的贡献包括:1)介绍交易CoT资源所需的词汇;2)提出一个市场系统架构,以实现CoT资源的有效交易;3)检查不同效用函数的使用,对候选资源分配进行排序;4)使用三种优化算法进行模拟,以验证所提出方法的有效性。
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