The Smart Performance Analysis of Network Scheduling Framework for Mobile Systems in Cloud Communication Networks

Author:

Logeshwaran J.,Kiruthiga T.

Abstract

This paper presents a smart performance analysis of a network scheduling framework for mobile systems in cloud communication networks. It begins by introducing the concept of cloud communication networks and then discussing the key features of the network scheduling mechanism. Following that, the paper presents an overview of existing scheduling algorithms for cloud communication networks and discusses their relative advantages and disadvantages. The paper then outlines a smart network scheduling framework proposed to address the problems associated with existing scheduling mechanisms. The proposed framework is evaluated through extensive simulations to explore its performance in different scenarios. The results demonstrate that the proposed network scheduling framework performs better than existing algorithms with regards to system accuracy, precision, recall and F1-score. The paper proposes a few future directions for further research and development in this area.

Publisher

HM Publishers

Cited by 24 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. Performance Evaluation of Transport Layer Protocols in Mobile Networks;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

2. Assessing the Vulnerability of Information Security Models to Malware in Networked Applications;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

3. Unsupervised Classification of Wetland Areas Using Hyper Spectral Imagery;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

4. Implementing Image Colorization with Generative Adversarial Networks;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

5. Enhancing IoT Networking Through Predictive Big Data Processing;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3