课题基金 / 基金详情

Toward Efficient and Green Power Management for Internet Data Centers

Toward Efficient and Green Power Management for Internet Data Centers
实现互联网数据中心高效、绿色的电源管理
批准号:
341823-2012
负责人:
Liu, Xue
金额:
$2.04万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2014
资助国家:
加拿大
项目状态:
已结题
起止时间:
2014-01-01 至 2015-12-31

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中文摘要
翻译
今天的互联网数据中心(IDC)在通信和计算能力方面取得了重大进展。近年来,随着对互联网服务的需求急剧增加,互联网数据中心(IDC)的能源消耗一直在飙升。如何对互联网数据中心进行高效、绿色的电源管理成为包括政府机构、金融公司、医院以及主要IT公司在内的数据中心运营商面临的首要问题。在这个项目中,我们将研究这一重要而具有挑战性的问题。具体而言,我们将研究三个主题:(A)整合微观能效设计和宏观资源管理服务的整体电力管理;(B)数据中心和智能电网的智能交互和协调;(C)可再生风能供电的数据中心。我们将提出新的集成框架、新的模型和分析技术以及自适应的策略和算法,以支持数据中心高效和绿色的电力管理。我们将借鉴节能设计、容量规划、经济建模、优化控制和分布式处理等学科的理论和技术进步,设计智能策略来实施高效的电力管理。
英文摘要
Today's internet data centers (IDCs) are achieving significant advances in communication and computation capabilities. As the demand on Internet services drastically increases in recent years, the energy used by Internet data centers (IDCs) has been skyrocketing. How to conduct efficient and green power management for Internet data centers is becoming a top concern faced by data center operators including government organizations, financial firms, hospitals, as well as major IT companies. In this project, we will investigate this important and challenging problem. Specifically, we will study three topics: (A) Holistic power management integrating micro-level power-efficient designs and macro-level resource management services; (B) Intelligent interaction and coordination of data centers and smart grids; (C) Data center powered up by renewable wind energy. We will propose new integrated framework, novel models and analysis techniques, and adaptive strategies and algorithms to support the efficient and green power management for IDCS. We will draw upon theories and technical advances in several disciplines including power-efficient designs, capacity planning, economic modeling, optimization and control, and distributed processing to design intelligent strategies to carry out efficient power management.
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Deduplication-aware Systems for Cost-efficient Cloud Storage
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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  • 财政年份:
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  • 依托单位:
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    RGPIN-2017-04264
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  • 资助金额:
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  • 财政年份:
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