SHF:Small: Integrated Hardware-Software Power Regulation, Allocation and Isolation in Consolidated Servers

SHF:Small：整合服务器中的集成硬件-软件电源调节、分配和隔离

基本信息

批准号：
1714389
负责人：
Anand Sivasubramaniam
金额：
$ 50万
依托单位：
Pennsylvania State Univ University Park
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-07-15 至 2023-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1714389&HistoricalAwards=false
关键词：
SHF Small Integrated Hardware Software

项目摘要

Multi-megawatt datacenters, while critical to our economy, can pose a severe cost, scalability and environmental burden. Imposed/Voluntary demand response programs, to address these concerns, mandate dynamic power regulation of a datacenter. This requires each of its hundreds of thousands of servers to expose and manage knobs for dynamic regulation. As datacenters resort to increasing levels of application consolidation on high-end servers to reduce their Total Cost of Operation, the co-located applications contend for the finite resources at each server. While prior research has looked at solutions for alleviating this contention for conventional computing resources, co-located applications also contend for the dynamically varying power budget, which is becoming an increasingly scarce resource. This project intends to elevate power to become a first class citizen for explicit management, similar to other hardware resources, in the context of current and next generation servers hosting multiple applications.This project will specifically investigate the following issues: (i) when should server power be regulated? (ii) what amount of the regulated power should be allocated to each application, and recursively to each of its computing resources? (iii) how should power allocations be enforced and isolated? The project will develop evaluation platforms to implement and validate the developed research ideas in each of these "when", "what" and "how" dimensions, using real datacenter/cloud workloads. The research contributions from this project can transform the design of server hardware and software, which make their way into large datacenters. The project proposes curricular enhancements at undergraduate and graduate levels using this research, in addition to the involvement of women, minorities and undergraduate students.

多兆瓦数据中心虽然对我们的经济至关重要，但可能会带来严重的成本、可扩展性和环境负担，为了解决这些问题，需要对数十万个数据中心进行动态功率调节。随着数据中心在高端服务器上提高应用程序整合水平以降低总运营成本，同一地点的应用程序之间存在竞争。虽然先前的研究已经研究了缓解传统计算资源争用的解决方案，但协同定位的应用程序也在争夺动态变化的功率预算，这正成为日益稀缺的资源。该项目旨在提高功率。在托管多个应用程序的当前和下一代服务器的背景下，成为明确管理的一等公民，类似于其他硬件资源。该项目将专门研究以下问题：（i）何时应调节服务器电源？） (iii) 应如何执行和隔离功率分配？该项目将开发评估平台来实施和验证每个应用程序中已开发的研究想法。这些“何时”、“什么”和“如何”维度，使用真实的数据中心/云工作负载，可以改变服务器硬件和软件的设计，从而进入大型数据中心。除了女性、少数族裔和本科生的参与外，该项目还建议利用这项研究加强本科生和研究生的课程。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

To move or not to move?: page migration for irregular applications in over-subscribed GPU memory systems with DynaMap

移动还是不移动？：使用 DynaMap 在超额认购的 GPU 内存系统中进行不规则应用程序的页面迁移

DOI：
10.1145/3456727.3463766
发表时间：
2021-06-14
期刊：
Proceedings of the 14th ACM International Conference on Systems and Storage
影响因子：
0
作者：
Chia;Adithya Kumar;A. Sivasubramaniam
通讯作者：
A. Sivasubramaniam

Pocolo: Power Optimized Colocation in Power Constrained Environments

Pocolo：功率受限环境中的功率优化托管

DOI：
10.1109/iiswc50251.2020.00010
发表时间：
2020-10
期刊：
IEEE International Symposium on Workload Characterization (IISWC
影响因子：
0
作者：
Narayanan, Iyswarya;Kumar, Adithya;Sivasubramaniam, Anand
通讯作者：
Sivasubramaniam, Anand

Mediating Power Struggles on a Shared Server

调解共享服务器上的权力斗争

DOI：
发表时间：
2020-07
期刊：
2020 IEEE International Symposium on Performance Analysis of Systems and Software
影响因子：
0
作者：
Narayanan, Iyswarya;Sivasubramaniam, Anand
通讯作者：
Sivasubramaniam, Anand

The Fast and The Frugal: Tail Latency Aware Provisioning for Coping with Load Variations

快速而节俭：用于应对负载变化的尾部延迟感知配置

DOI：
10.1145/3366423.3380117
发表时间：
2020-04-19
期刊：
Proceedings of The Web Conference 2020
影响因子：
0
作者：
Adithya Kumar;Iyswarya Narayanan;T. Zhu;A. Sivasubramaniam
通讯作者：
A. Sivasubramaniam

Getting more performance with polymorphism from emerging memory technologies

通过新兴内存技术的多态性获得更高的性能

DOI：
10.1145/3319647.3325826
发表时间：
2019-05
期刊：
12th ACM International Conference on Systems and Storage
影响因子：
0
作者：
Narayanan, Iyswarya;Ganesan, Aishwarya;Badam, Anirudh;Govindan, Sriram;Sharma, Bikash;Sivasubramaniam, Anand
通讯作者：
Sivasubramaniam, Anand