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MRI: Development of a Scalable Energy Efficient Datacenter (SEED)

MRI: Development of a Scalable Energy Efficient Datacenter (SEED)
MRI:开发可扩展的节能数据中心 (SEED)
批准号:
0923523
负责人:
George Papen
金额:
$140.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-01 至 2012-08-31

项目摘要

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中文摘要
翻译
提案编号:CNS 09-23523 PI(s): Papen, George Fainman, y;机构:加州大学圣地亚哥分校,La Jolla, CA 92093-0934标题:MRI/Dev。:可扩展节能数据中心(SEED)该奖项是根据2009年美国复苏和再投资法案(公法111-5)资助的。项目建议:该项目旨在构建一个可扩展的节能数据中心(SEED),开发一个集成的解决方案,包括物理层硬件、协议和拓扑,可以为未来的数据中心提供预期的规模和性能扩展,同时最大限度地降低成本和每个交换位的能量。这项工作为开发下一代可扩展、节能的数据中心创建了所需的知识库。该仪器的独特功能包括新颖的统计多路复用模块,以降低连接复杂性,电路交换光互连结构,以及在现实系统环境中适应新协议,组件和子系统的能力。SEED仪器的设计完全基于商品组件和非阻塞可扩展交换机,其基本配置将连接250多台服务器,每台服务器的运行速度为10gb /s。完整配置的仪器是一个混合电分组/光电路交换网络,旨在有效地将大数据流路由到电路交换光芯中,利用先前资助的MRI, Quartzite的光开关。该仪器支持几个新建立的多学科项目,包括ERC综合接入网络中心(CIAN)、MRI绿光项目、艺术、建筑和考古跨学科科学中心(CISA3)以及圣地亚哥超级计算机中心的项目。具体来说,SEED有望为每个开关比特的成本和能量的数量级改进创造技术基础。这将通过开发新的协议和拓扑,测量和优化应用依赖的流量模式,为新型光子技术的发展提供关键的系统驱动的技术路线图规范,并作为培训同样精通光和电网络的下一代网络工程师的平台来完成。以下四个问题与SEED工具有关。-设计适合电气和混合系统的流量调度技术,-容错算法(大规模通信交换机中的组件故障),-最佳波分复用(WDM)设计(使用多个激光器并在单个光纤上同时传输多个波长的光(lambdas))-基于有关建筑,测试的性能指标的研究结果的技术路线图。并操作初始光聚合、传输和交换硬件,以通知综合接入网中心(CIAN) ERC。更广泛的影响:21世纪经济的引擎,通过信息处理创造财富,利用数据中心作为其基石。因此,能够实现更大规模、更节能的信息处理的技术将影响现代生活的许多方面,如果不是所有方面的话。使用高效的远程处理将大大减少物理运输的数量,避免不必要的通勤费用和人力成本,最大限度地减少基础设施和污染对环境的影响,大大减少我们对能源进口的依赖,改善教育机会,加强医疗服务的分配,并增强整体国家安全。因此,承载这些服务的基础设施构成了宝贵的国家资源,可能与航空、铁路和公路运输一样宝贵。事实上,它应该使这个国家能够更好地在全球竞争。
英文摘要
Proposal #: CNS 09-23523 PI(s): Papen, George Fainman, Y.; Vahdat, Amin M.Institution: University of California - San Diego La Jolla, CA 92093-0934Title: MRI/Dev.: Development of a Scalable Energy Efficient Datacenter (SEED)This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Project Proposed:This project, building a Scalable Energy Efficient Datacenter (SEED), develops an integrated solution that encompasses physical layer hardware, protocols, and topologies that can provide the expected size and performance scaling for future data centers while minimizing the cost and energy per switched bit. The work creates the knowledge base required for the development of next generation scalable, energy efficient datacenters. Unique features of this instrument include novel statistical multiplexing modules to reduce connection complexity, a circuit switched optical interconnection fabric, and the ability to accommodate novel protocols, components and subsystems in a realistic system environment. With a design based entirely on commodity components and a non-blocking and scalable switch, the baseline configuration of the SEED instrument will connect more than 250 servers, each operating at 10 Gb/s. The fully configured instrument is a hybrid electrical packet/optically circuit-switched network designed to efficiently route large data flows into a circuit-switched optical core utilizing an optical switch from a previously funded MRI, Quartzite. The instrument supports several newly established multidisciplinary projects including the ERC Center for Integrated Access Networks (CIAN), the MRI GreenLight project, the Center of Interdisciplinary Science for Art, Architecture, and Archaeology (CISA3), and projects at the San Diego Supercomputer center. Specifically, SEED is expected to create the technology base for an order of magnitude improvement in both the cost and energy per switched bit. This will be accomplished by the development of new protocols and topologies, measuring and optimizing application dependent traffic patterns, providing critical system-driven specifications of a technology roadmap for the development of novel photonic technologies, and acting as a platform for training the next generation network engineers that are equally versed in both optical and electrical networks. The following four issues are associated with the SEED instrument.- Design of flow scheduling techniques for fat trees that fit both electrical and hybrid systems,- Algorithms for fault tolerance (components in large scale communication switches fail),- Optimal Wavelength Division Multiplexing (WDM) design (uses multiple lasers and transmits several wavelengths of light (lambdas) simultaneously over a single optical fiber)- Technology road map based on findings on performance metrics pertaining to building, testing, and operating the initial optical aggregation, transmission, and switching hardware to inform the Center for Integrated Access Networks (CIAN) ERC.Broader Impacts: The engine of the 21st century economy, the creation of wealth through information processing, utilizes data centers as its cornerstones. Hence, technologies that can enable larger and more energy efficient information processing will affect many, if not every, aspect of modern life. Access to efficient remote processing should dramatically reduce the amount of physical transport and avoid the expense and human costs of unnecessary commuting, minimize environmental impact from infrastructure and pollution, substantially reduce our dependence on energy imports, improve educational opportunities, enhance the distribution of medical services, and increase overall national security. Thus, the infrastructure to carry these services constitutes a precious national resource, perhaps as precious as the air, rail, and road transportation. Indeed, it should enable this country to better compete globally.
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