CSR: Small: Simple Dynamic Traffic-Oblivious Power Management for Multi-Tier Web Clusters

CSR：小型：多层 Web 集群的简单动态流量无关电源管理

基本信息

批准号：
1116282
负责人：
Mor Harchol-Balter
金额：
$ 37.35万
依托单位：
Carnegie-Mellon University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2011
资助国家：
美国
起止时间：
2011-08-15 至 2016-07-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1116282&HistoricalAwards=false
关键词：
CSR Small Simple Dynamic Traffic

项目摘要

While energy costs of data centers continue to double every five years, what is most disappointing is that most of this power is wasted. Servers are only busy 10-30% of the time on average, but they are often left on, while idle, utilizing 60% or more of peak power. This project, being conducted at Carnegie Mellon University, investigates simple load-oblivious, distributed auto-scaling of the data center capacity to reduce power consumption. Our policies scale the number of servers that are on, as a function of changing load, shutting down servers, or putting them into sleep states, or changing the frequency at which they are run, without knowing the load in advance. Our work combines full-scale implementation in a 23-server multi-tier data center together with queueing-theoretic analysis to reduce the search space of solutions and guide the algorithmic development. We expect to develop algorithms which significantly reduce power consumption, while still meeting response time service level agreements. Broader impacts of this work include direct collaboration with Intel Pittsburgh labs, publication of a textbook on queueing-theoretic modeling and its applications, and weekly coaching and management of the Western PA American Regions Mathematics League, to train the smartest young minds of tomorrow.

尽管数据中心的能源成本每五年继续增加一倍，但最令人失望的是，大部分力量都浪费了。服务器平均只有10-30％的时间忙，但是它们通常会使用60％或更多的峰值功率而闲置。该项目由卡内基·梅隆大学（Carnegie Mellon University）进行，调查了简单的与负载的自动缩放数据中心的自动缩放，以减少功耗。我们的策略会扩展按负载，关闭服务器关闭或将其放入睡眠状态或更改运行频率的服务器的服务器数量，而无需预先知道负载。我们的工作结合了23个服务器多层数据中心中的全尺度实现，并将排队理论分析结合在一起，以减少解决方案的搜索空间并指导算法开发。我们希望开发算法，从而大大降低功耗，同时仍达到响应时间服务水平协议。这项工作的更广泛影响包括与英特尔·匹兹堡实验室的直接合作，出版有关排队理论建模及其应用的教科书，以及西部宾夕法尼亚州美国地区数学联盟的每周教练和管理，以培训明天最聪明的年轻人。