计算系统中基于自适应本体的物联网资源分配

IF 4.1 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ashish Tiwari, R. Garg
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引用次数: 13

摘要

鹰表示,云计算在技术发展中起着举足轻重的作用。其目的是以这样一种方式求解,它将提供一个优化的解决方案。这些高效资源的分配和算法的制定对其时间和成本的优化起着关键作用。研究方法基于粗糙集理论RST。RST是一种在定性分析情况下产生巨大差异的好方法。它是一种寻找知识发现并处理归纳推理、自动分类、模式识别、学习算法和数据约简等问题的技术。粗糙集理论是一种新的云服务选择方法,为云用户提供最优的服务,为云提供商提供高效的服务。工作的模拟每隔一段时间就会完成,而商品则被用来形成哲学框架。仿真结果表明,利用参数和本体技术,物联网服务提供商向用户提供的物联网服务是最优利用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adaptive Ontology-Based IoT Resource Provisioning in Computing Systems
The eagle expresses of cloud computing plays a pivotal role in the development of technology. The aim is to solve in such a way that it will provide an optimized solution. The key role of allocating these efficient resources and making the algorithms for its time and cost optimization. The approach of the research is based on the rough set theory RST. RST is a great method for making a large difference in qualitative analysis situations. It's a technique to find knowledge discovery and handle the problems such as inductive reasoning, automatic classification, pattern recognition, learning algorithms, and data reduction. The rough set theory is the new method in cloud service selection so that the best services provide for cloud users and efficient service improvement for cloud providers. The simulation of the work is finished at intervals with the merchandise utilized for the formation of the philosophy framework. The simulation shows the IoT services provided by the IoT service supplier to the user are the best utilization with the parameters and ontology technique.
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来源期刊
CiteScore
6.20
自引率
12.50%
发文量
51
审稿时长
20 months
期刊介绍: The International Journal on Semantic Web and Information Systems (IJSWIS) promotes a knowledge transfer channel where academics, practitioners, and researchers can discuss, analyze, criticize, synthesize, communicate, elaborate, and simplify the more-than-promising technology of the semantic Web in the context of information systems. The journal aims to establish value-adding knowledge transfer and personal development channels in three distinctive areas: academia, industry, and government.
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