2011 IEEE/ACM International Conference on Green Computing and Communications最新文献

Increasing Energy Efficiency in Data Centers Using Energy Management 利用能源管理提高数据中心的能源效率

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.53

I. Dumitru, I. Fagarasan, S. S. Iliescu, Yanis Hadj Said, S. Ploix

{"title":"Increasing Energy Efficiency in Data Centers Using Energy Management","authors":"I. Dumitru, I. Fagarasan, S. S. Iliescu, Yanis Hadj Said, S. Ploix","doi":"10.1109/GreenCom.2011.53","DOIUrl":"https://doi.org/10.1109/GreenCom.2011.53","url":null,"abstract":"Data centers provide the global community withan indispensable service: nearly unlimited access to almost any kind of information we can imagine. With the increasing demand of information, the high energy costs has raised the issue of power consumption. The main goal in achieving data center energy efficiency can be translated into the ensuring that IT equipment uses, as maximum power as possible from the power entering the data center to compute useful work but at the same time the service level agreement between costumers and managers has to be satisfied. In this paper, different concepts of efficiency that are linked with multiple methods of increasing energy efficiency into a data center, will be presented, as well as different principles of energy management. A comprehensive overview of the currently available energy metrics will be provided, followed by an in-depth analysis of their commonalities and differences. An analyze about the degree of freedom encountered into the process of energy management, will be afforded. This paper presents a global overview of the energy efficiency management process into a data center.","PeriodicalId":245591,"journal":{"name":"2011 IEEE/ACM International Conference on Green Computing and Communications","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121365683","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: 15

Generation Dispatch Strategy under Environment Protection Consideration 考虑环境保护的发电调度策略

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.50

Hong-Chan Chang, C. Kuo, Jheng-Lun Jiang, Shao-An Lu

{"title":"Generation Dispatch Strategy under Environment Protection Consideration","authors":"Hong-Chan Chang, C. Kuo, Jheng-Lun Jiang, Shao-An Lu","doi":"10.1109/GreenCom.2011.50","DOIUrl":"https://doi.org/10.1109/GreenCom.2011.50","url":null,"abstract":"An optimal generation dispatch strategy method while considering CO2 emissions is presented in this paper. Firstly, different CO2 equivalent models for fuel generated thermal units are derived. Secondly, the Cost-CO2 emission Tradeoff Curve (CCTC) and Incremental Cost for CO2 Reduction (ICCR) curve, are introduced to assess the impact of CO2 emissions on power generation costs. Incorporating these two indexes, the single-objective and bi-objective programming methods are employed to establish a generation dispatch strategy. The salient feature of the strategy allows the decision-maker to consider both environmental and economic factors at the same time. Since generation dispatch belongs to large-scale non-linear planning problems, this study employs a particle swarm approach with novel coding scheme for generation dispatch solution, which can quickly find an optimal solution with higher probability. Finally, taking the 27-unit system from Taiwan power company as an example, simulation result of the study reveals that the proposed dispatch strategy can effectively take into consideration CO2 reduction impact on cost during off-peak, half-peak and peak load conditions to achieve environmental protection and economic purpose.","PeriodicalId":245591,"journal":{"name":"2011 IEEE/ACM International Conference on Green Computing and Communications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116017429","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: 8

The Survey and Future Evolution of Green Computing 绿色计算的调查和未来发展

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.47

Qilin Li, Mingtian Zhou

引用次数: 69

Application Level Energy and Performance Measurements in a Wireless LAN 无线局域网中的应用级能量和性能测量

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.26

Markus Tauber, S. Bhatti, Yi Yu

引用次数: 28

A Novel Energy-Aware Fault Tolerance Mechanism for Wireless Sensor Networks 一种新的无线传感器网络能量感知容错机制

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.18

Meikang Qiu, Jianning Liu, Jiayin Li, Zongming Fei, Zhong Ming, E. Sha

引用次数: 52

Beyond Green: Evolution to Adaptability and Recyclability 超越绿色:向适应性和可回收性的进化

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.48

Yuzhong Sun, Ying Song

引用次数: 3

The Evolution of Green ICT Practice: UK Higher Education Institutions Case Study 绿色ICT实践的演变:英国高等教育机构案例研究

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.45

Supaporn Chai-Arayalert, K. Nakata

引用次数: 42

Uplink Cooperative Detection for Non-binary Coded Wireless Network 非二进制编码无线网络的上行链路协同检测

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.25

Haitao Li, Haiying Yuan

引用次数: 1

A Power and Performance Management Framework for Virtualized Server Clusters 虚拟化服务器集群的电源和性能管理框架

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.36

Yongqiang Gao, Zhengwei Qi, Yubin Wu, Rui Wang, Liang Liu, Jitao Xu, Haibing Guan

{"title":"A Power and Performance Management Framework for Virtualized Server Clusters","authors":"Yongqiang Gao, Zhengwei Qi, Yubin Wu, Rui Wang, Liang Liu, Jitao Xu, Haibing Guan","doi":"10.1109/GreenCom.2011.36","DOIUrl":"https://doi.org/10.1109/GreenCom.2011.36","url":null,"abstract":"Nowadays, one of the most important goals of data center management is to maximize their profit by minimizing power consumption and service-level agreement (SLA) violations of hosted applications. System dynamics make it difficult to implement optimization in both aspects on shared infrastructures. A majority of existing works either focused on one aspect or applied models that are trained offline for application-specific workload. In addition, virtualization is being widely used in large-scale data centers to attain basic benefits like fault and performance isolation, and to improve system manageability. A key challenge that comes with virtualization is to dynamically provisioning resources for virtual machines and optimize their capacity for meeting service level objectives at the lowest possible cost. In this paper, we present a hierarchical management framework to assure application-level performance while minimizing power consumption for virtualized data centers. A novelty of the management framework is to combine control theory with linear programming technique. Empirical results show that the proposed framework brings substantial energy saving, while ensuring application performance. Especially, the integration of the performance controller and the energy optimizer results in an energy saving of 43% on our hardware testbed.","PeriodicalId":245591,"journal":{"name":"2011 IEEE/ACM International Conference on Green Computing and Communications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127065045","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: 3

Green Computing Wanted: Electricity Consumptions in the IT Industry and by Household Computers in Five Major Chinese Cities 绿色计算:中国五个主要城市的IT行业和家用电脑的耗电量

2011 IEEE/ACM International Conference on Green Computing and Communications Pub Date : 2011-08-04 DOI: 10.1109/GreenCom.2011.46

Luyang Wang, Tao Wang

引用次数: 6