A Systems Overview of Commercial Data Centers

Author:

Uzaman Sardar Khaliq1,Khan Atta ur Rehman2,Shuja Junaid3,Maqsood Tahir4,Rehman Faisal3,Mustafa Saad3

Affiliation:

1. Comsats University Islamabad, Abbottabad Campus, Abbottabad, Pakistan

2. Faculty of Computing and Information Technology, Sohar University, Sohar, Oman

3. COMSATS Institute of Information Technology, Abbottabad, Pakistan

4. Computer Science Department, COMSATS Institute of Information Technology, Abbottabad, Pakistan

Abstract

Data center facilities play a vital role in present and forthcoming information and communication technologies. Internet giants, such as IBM, Microsoft, Google, Yahoo, and Amazon hold large data centers to provide cloud computing services and web hosting applications. Due to rapid growth in data center size and complexity, it is essential to highlight important design aspects and challenges of data centers. This article presents market segmentation of the leading data center operators and discusses the infrastructural considerations, namely energy consumption, power usage effectiveness, cost structure, and system reliability constraints. Moreover, it presents data center network design, classification of the data center servers, recent developments, and future trends of the data center industry. Furthermore, the emerging paradigm of mobile cloud computing is debated with respect to the research issues. Preliminary results for the energy consumption of task scheduling techniques are also provided.

Publisher

IGI Global

Subject

General Computer Science

Cited by 38 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. A Low-Power BL Path Design for NAND Flash Based on an Existing NAND Interface;Journal of Low Power Electronics and Applications;2024-02-19

2. Development of an Automated Air Quality Monitoring System for Data Centers;2023 IEEE International Conference on Telecommunications and Photonics (ICTP);2023-12-21

3. Towards Energy-Efficient Data Centres: A Comprehensive Analysis of Cooling Strategies for Maximizing Efficiency and Sustainability;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

4. Towards an Energy Complexity Model for Distributed Data Processing Algorithms;IEEE Transactions on Big Data;2023-12

5. Passive Center-to-Clustered Edge Nodes Networks Using Thin-Film-Filter Based Wavelength Routers;2023 International Workshop on Fiber Optics on Access Networks (FOAN);2023-10-30

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