Journal Article10.1007/s12083-022-01349-w
A Mixed-integer programming model using particle swarm optimization algorithm for resource discovery in the cloudiot
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TL;DR: A mathematical optimization model to minimize response time, cost, and bandwidth of CloudIoT platforms by considering fixed and mobile resources in resource discovery is proposed and significantly reduces the latency and improves the success ratio and availability compared to other algorithms.
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About: This article is published in Peer-to-peer Networking and Applications. The article was published on 15 Jul 2022. The article focuses on the topics: Computer science & Particle swarm optimization.
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Citations
A mathematical optimization model using red deer algorithm for resource discovery in CloudIoT
TL;DR: In this paper , a mathematical optimization model is proposed for the minimization of bandwidth, cost, and response time of CloudIoT platforms with a special focus on the role of mobile and fixed resources in resource discovery.
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TL;DR: This paper introduces a priority-based capacity allocation model for hierarchical distributors with limited production capacity, using integer programming and algorithms to optimize business orientation, and demonstrates strong optimization capabilities and rapid solution speeds through numerical and empirical tests.
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