Power-Aware Computer Systems最新文献_第3页

Simultaneous multithreading on x86_64 systems: an energy efficiency evaluation x86_64系统上的同步多线程:能效评估

Power-Aware Computer Systems Pub Date : 2011-10-23 DOI: 10.1145/2039252.2039262

R. Schöne, D. Hackenberg, Daniel Molka

引用次数: 7

Towards realizing a low cost and highly available datacenter power infrastructure 朝着实现低成本、高可用性的数据中心电力基础设施迈进

Power-Aware Computer Systems Pub Date : 2011-10-23 DOI: 10.1145/2039252.2039259

Sriram Govindan, Di Wang, L. Chen, A. Sivasubramaniam, B. Urgaonkar

引用次数: 32

Leveraging thermal storage to cut the electricity bill for datacenter cooling 利用热存储来减少数据中心冷却的电费

Power-Aware Computer Systems Pub Date : 2011-10-23 DOI: 10.1145/2039252.2039260

Yefu Wang, Xiaorui Wang, Yanwei Zhang

{"title":"Leveraging thermal storage to cut the electricity bill for datacenter cooling","authors":"Yefu Wang, Xiaorui Wang, Yanwei Zhang","doi":"10.1145/2039252.2039260","DOIUrl":"https://doi.org/10.1145/2039252.2039260","url":null,"abstract":"The electricity cost of cooling systems can account for 30% of the total electricity bill of operating a data center. While many prior studies have tried to reduce the cooling energy in data centers, they cannot effectively utilize the time-varying power prices in the power market to cut the electricity bill of data center cooling. Thermal storage techniques have provided opportunities to store cooling energy in ice or water-based tanks or overcool the data center when the power price is relatively low. Consequently, when the power price is high, data centers can choose to use less electricity from power grid for cooling, resulting in a significantly reduced electricity bill.\u0000 In this paper, we design and evaluate TStore, a cooling strategy that leverages thermal storage to cut the electricity bill for cooling, without causing servers in a data center to overheat. TStore checks the low prices in the hourahead power market and overcools the thermal masses in the datacenter, which can then absorb heat when the power price increases later. On a longer time scale, TStore is integrated with auxiliary thermal storage tanks, which are recently adopted by some data-centers to store energy in the form of ice when the power price is low at night, such that the stored ice can be used to cool the datacenter in daytime. We model the impacts of TStore on server temperatures based on Computational Fluid Dynamics (CFD) to consider the realistic thermal dynamics in a data center with 1,120 servers. We then evaluate TStore using workload traces from real-world data centers and power price traces from a real power market. Our results show that TStore achieves the desired cooling performance with a 16.8% less electricity bill than the current practice.","PeriodicalId":112226,"journal":{"name":"Power-Aware Computer Systems","volume":"48 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132090844","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: 26

The case for sleep states in servers 服务器的睡眠状态

Power-Aware Computer Systems Pub Date : 2011-10-23 DOI: 10.1145/2039252.2039254

Anshul Gandhi, Mor Harchol-Balter, M. Kozuch

{"title":"The case for sleep states in servers","authors":"Anshul Gandhi, Mor Harchol-Balter, M. Kozuch","doi":"10.1145/2039252.2039254","DOIUrl":"https://doi.org/10.1145/2039252.2039254","url":null,"abstract":"While sleep states have existed for mobile devices and workstations for some time, these sleep states have largely not been incorporated into the servers in today's data centers.\u0000 Chip designers have been unmotivated to design sleep states because data center administrators haven't expressed any desire to have them. High setup times make administrators fearful of any form of dynamic power management, whereby servers are suspended or shut down when load drops. This general reluctance has stalled research into whether there might be some feasible sleep state (with sufficiently low setup overhead and/or sufficiently low power) that would actually be beneficial in data centers.\u0000 This paper uses both experimentation and theory to investigate the regime of sleep states that should be advantageous in data centers. Implementation experiments involve a 24-server multi-tier testbed, serving a web site of the type seen in Facebook or Amazon with key-value workload and a range of hypothetical sleep states. Analytical modeling is used to understand the effect of scaling up to larger data centers. The goal of this research is to encourage data center administrators to consider dynamic power management and to spur chip designers to develop useful sleep states for servers.","PeriodicalId":112226,"journal":{"name":"Power-Aware Computer Systems","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116444545","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: 46

Ekho: bridging the gap between simulation and reality in tiny energy-harvesting sensors Ekho:在微型能量收集传感器中弥合模拟与现实之间的差距

Power-Aware Computer Systems Pub Date : 2011-10-23 DOI: 10.1145/2039252.2039261

Hong Zhang, M. Salajegheh, Kevin Fu, Jacob M. Sorber

引用次数: 26

The interplay of software bloat, hardware energy proportionality and system bottlenecks 软件膨胀、硬件能量比例和系统瓶颈的相互作用

Power-Aware Computer Systems Pub Date : 2011-10-23 DOI: 10.1145/2039252.2039253

Suparna Bhattacharya, K. Rajamani, K. Gopinath, Manish Gupta

引用次数: 17

Bit-Sliced Datapath for Energy-Efficient High Performance Microprocessors 高效节能高性能微处理器的位片数据路径

Power-Aware Computer Systems Pub Date : 2004-12-05 DOI: 10.1007/11574859_3

Sumeet Kumar, Prateek Pujara, Aneesh Aggarwal