Clustering Obsolete Computers to Reduce E-Waste

Author:

Lynar Timothy M.1,Simon 2,Herbert Ric D.1,Chivers William J.1

Affiliation:

1. University of Newcastle, Australia

2. SimonUniversity of Newcastle, Australia

Abstract

Personal computers contribute significantly to the growing problem of electronic waste. Every computer, when finished with, must be stored, dumped, recycled, or somehow re-used. Most are dumped, at a huge cost to health and the environment, as their owners succumb to the desire to keep up with the ever-increasing power of new computers. Supercomputers and computer clusters provide more power than ordinary desktop and laptop computers, but they too are subject to rapid obsolescence. The authors have built a cluster of obsolete computers and have found that it easily outperforms a fairly standard new desktop computer. They explore how this approach can help to mitigate e-waste, and discuss the advantages and limitations of using such a system.

Publisher

IGI Global

Reference19 articles.

1. ABS. (2006). Australia’s environment: Issues and trends 2006. Cat. no. 4613.0, Australian Bureau of Statistics, Canberra.

2. Adams, J. C., & Brom, T. H. (2008). Microwulf: A Beowulf cluster for every desk. In SIGCSE ’08: Proceedings of the 39th Technical Symposium on Computer Science Education (pp. 121-125).

3. Basel (1989). Basel Convention on the control of transboundary movements of hazardous wastes and their disposal. United Nations Environment Programme (UNEP). Retrieved May 4, 2008, from www.basel.int/text/con-e-rev.pdf

4. Baumann, D. (2008). Debian live: Live Debian systems. Retrieved July19, 2008, from debian-live.alioth.debian.org

5. Cairns, C. N. (2005). E-waste and the consumer: Improving options to reduce, reuse and recycle. In Proceedings of the 2005 IEEE International Symposium on Electronics and the Environment (pp. 237-242).

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