International Conference on Green Computing最新文献_第6页

A case for smartphone reuse to augment elementary school education 智能手机的再利用，以加强小学教育的案例

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598279

Xun Li, Pablo J. Ortiz, Jeffrey Browne, Diana Franklin, J. Oliver, R. Geyer, Yuanyuan Zhou, F. Chong

引用次数: 5

UCFC - Ubiquitous personal Carbon Footprint Calculation Platform UCFC -无处不在的个人碳足迹计算平台

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598286

F. Rahman, Sheikh Iqbal Ahamed, Md. Endadul Hoque, Casey O'Brien, Hemmg Zhang, Lin Liu

{"title":"UCFC - Ubiquitous personal Carbon Footprint Calculation Platform","authors":"F. Rahman, Sheikh Iqbal Ahamed, Md. Endadul Hoque, Casey O'Brien, Hemmg Zhang, Lin Liu","doi":"10.1109/GREENCOMP.2010.5598286","DOIUrl":"https://doi.org/10.1109/GREENCOMP.2010.5598286","url":null,"abstract":"Recent attention to carbon dioxide emissions is turning to an individual's contribution, which we name as “personal carbon footprint.” One step towards solving this issue is to have smart software/calculator that can figure out individual carbon footprint. Such calculators have become more widespread on the internet. However even with similar inputs these calculators can generate varying results, often by as much as several metric tons per annum per individual activity. Overall the calculators lack consistency. Although carbon calculators can promote public awareness on the reduction of carbon emission due to individual's activities, calculators proposed so far cannot determine carbon footprint based on the dynamic behavior of the user or the environment. Therefore, in this paper, we propose a Ubiquitous Carbon Footprint Calculation Platform that is customizable and adaptable. Based on the platform, we developed a Ubiquitous Carbon Footprint Calculator application (UCFC) that allows the user to be aware of their personal carbon footprint based on their ubiquitous activity and act accordingly. The major contribution of this paper is the presentation of the quantitative model of the platform along with the entire design and implementation of UCFC system. We also present the results, analysis, and findings of an extensive survey, that have been conducted to find out users' awareness regarding increased carbon footprint, feature requirements, users' expectation and desire to alleviate CO2 emission by using a footprint calculator. The design of UCFC system incorporates the analysis and inference of the survey results.","PeriodicalId":262148,"journal":{"name":"International Conference on Green Computing","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133354470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Capping the brown energy consumption of Internet services at low cost 限制低成本互联网服务的棕色能源消耗

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598305

Kien Le, R. Bianchini, Thu D. Nguyen, Ozlem Bilgir, M. Martonosi

{"title":"Capping the brown energy consumption of Internet services at low cost","authors":"Kien Le, R. Bianchini, Thu D. Nguyen, Ozlem Bilgir, M. Martonosi","doi":"10.1109/GREENCOMP.2010.5598305","DOIUrl":"https://doi.org/10.1109/GREENCOMP.2010.5598305","url":null,"abstract":"The large amount of energy consumed by Internet services represents significant and fast-growing financial and environmental costs. Increasingly, services are exploring dynamic methods to minimize energy costs while respecting their service-level agreements (SLAs). Furthermore, it will soon be important for these services to manage their usage of “brown energy” (produced via carbon-intensive means) relative to renewable or “green” energy. This paper introduces a general, optimization-based framework for enabling multi-data-center services to manage their brown energy consumption and leverage green energy, while respecting their SLAs and minimizing energy costs. Based on the framework, we propose a policy for request distribution across the data centers. Our policy can be used to abide by caps on brown energy consumption, such as those that might arise from Kyoto-style carbon limits, from corporate pledges on carbon-neutrality, or from limits imposed on services to encourage brown energy conservation. We evaluate our framework and policy extensively through simulations and real experiments. Our results show how our policy allows a service to trade off consumption and cost. For example, using our policy, the service can reduce brown energy consumption by 24% for only a 10% increase in cost, while still abiding by SLAs.","PeriodicalId":262148,"journal":{"name":"International Conference on Green Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134412569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 181

Task allocation for minimum system power in a homogenous multi-core processor 均匀多核处理器中最小系统功耗的任务分配

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598299

Yang Ge, Qinru Qiu

{"title":"Task allocation for minimum system power in a homogenous multi-core processor","authors":"Yang Ge, Qinru Qiu","doi":"10.1109/GREENCOMP.2010.5598299","DOIUrl":"https://doi.org/10.1109/GREENCOMP.2010.5598299","url":null,"abstract":"In this paper we address the impact of task allocation to the system power consumption of a homogenous multi-core processor with a main focus on its impact on the leakage power and fan power. Although the leakage power is determined by the average die temperature and the fan power is determined by the peak temperature, our analysis shows that the overall power can be minimized if a task allocation with minimum peak temperature is adopted together with an intelligent fan speed adjustment technique that finds the optimal tradeoff between fan power and leakage power. We further propose a multi-agent distributed task migration technique that searches for the best task allocation during runtime. By choosing only those migration requests that will result chip maximum temperature reduction, the proposed framework achieves large fan power savings as well as overall power reduction. Experimental results show that, our agent-based distributed task migration policy can save up to 37.2% fan power and 17.9% system overall power compared to the random mapping policy when the temperature constraint is tight. When the temperature constraint is loose, the overall system power is insensitive to the task allocation.","PeriodicalId":262148,"journal":{"name":"International Conference on Green Computing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121414136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

BitTorrent on mobile phones - energy efficiency of a distributed proxy solution 手机上的bt -能源效率的分布式代理解决方案

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598282

I. Kelényi, Akos Ludanyi, J. Nurminen

引用次数: 16

Accelerating enterprise solid-state disks with non-volatile merge caching 使用非易失性合并缓存加速企业固态磁盘

International Conference on Green Computing Pub Date : 2010-08-15 DOI: 10.1109/GREENCOMP.2010.5598310

IV ClintonWillsSmullen, Joel Coffman, S. Gurumurthi

引用次数: 17

Efficient resource management for Cloud computing environments 针对云计算环境的高效资源管理

International Conference on Green Computing Pub Date : 2010-08-01 DOI: 10.1109/GREENCOMP.2010.5598294

A. Younge, G. Laszewski, Lizhe Wang, Sonia Lopez-Alarcon, Warren R. Carithers

引用次数: 284