Implementation of multi-source and multi-agent and fuzzy logic optimized QOS-based dynamic resource allocation

Author:

Divya Sruthi Naguri,Jaiswal , Sushma,Lakshmi J.Divya

Abstract

The cloud computing system that is based on the Internet of Things is faced with new challenges on a regular basis. This is due to the sophisticated structure of system clusters as well as the vast quantity of data that is handled by the systems. The ability to obtain resources in an elastic manner is seen as the most compelling rationale for the implementation of an architecture for cloud computing that is based on the Internet of Things (IoT). The capacity to dynamically scale up or down the amount of virtual resources in response to the requirements of Internet of Things (IoT) cloud users is the primary focus of the concept of elasticity. Elasticity refers to the ability to accomplish this. The purpose of this article is to propose a multi

Publisher

GSE Publications Private Limited, India

Subject

Literature and Literary Theory,Classics,Metals and Alloys,Polymers and Plastics,General Materials Science,Mechanical Engineering,Mechanics of Materials,General Materials Science,General Materials Science,Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,Mechanical Engineering,Mechanics of Materials,Environmental Chemistry,Mechanical Engineering,Mechanics of Materials,General Materials Science,Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,Mechanics of Materials,General Materials Science,Building and Construction,Civil and Structural Engineering,Materials Chemistry,Metals and Alloys,Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,Ceramics and Composites

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. The Use of Game Theoretic Based Algorithms for Dynamic Resource Allocation in Vehicular Cloud Computing Systems;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

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