Drowsy-DC, datacenter power management inspired by smartphones: poster
Authors: 
Mathieu Bacou, Grégoire Todeschi, Alain Tchana, Daniel Hagimont, Baptiste Lepers, and Willy ZwaenepoelAuthors Info & Claims
Mathieu Bacou, Grégoire Todeschi, Alain Tchana, Daniel Hagimont, Baptiste Lepers, and Willy ZwaenepoelAuthors Info & ClaimsDecember 2017
Pages 7 - 8
Abstract
A lot of research work is put into reducing the power consumption of datacenters. Some works seek to improve the power efficiency of one server, but as of now the ideal state of power proportionality is only approached with a higher workload. Meanwhile, modern datacenters make use of the virtualization: the actual workload is materialized by virtual machines (VM). Thus, the problem shifts to consolidating VMs in order to increase the workload of a server. Roughly described, VM consolidation systems try to place as many VMs as possible, on as few servers as possible. Then, a server either gets a higher workload, bringing it closer to a state of energy proportionality; or hosts no VM and can be brought to sleep. However, industrial solutions are not very efficient, and in practice the number of VMs per server is increased by only 10%, with an effective workload rarely over 50% [3].
References
[1]
Yuvraj Agarwal, Stefan Savage, and Rajesh Gupta. 2010. SleepServer: a Software-only Approach for Reducing the Energy Consumption of PCs within Enterprise Environments. In ATC USENIX.
[2]
Luiz André Barroso and Urs Hölzle. 2009. The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines. Morgan & Claypool.
[3]
Luiz André Barroso and Urs Hölzle. 2011. The Case for Energy-Proportional Computing. Computer (2011).
[4]
Nilton Bila, Eyal de Lara, Kaustubh Joshi, H. Andrés Lagar-Cavilla, Matti Hiltunen, and Mahadev Satyanarayanan. 2012. Jettison: Efficient Idle Desktop Consolidation with Partial VM Migration. In EuroSys.
[5]
Aman Kansal, Feng Zhao, Jie Liu, Nupur Kothari, and Arka Bhattacharya. 2010. Joulemeter: Virtual Machine Power Measurement and Management. In SoCC.
[6]
Matthew Lentz, James Litton, and Bobby Bhattacharjee. 2015. Drowsy Power Management. In SOSP.
[7]
Xiaoqiao Meng, Canturk Isci, Jeffrey Kephart, Li Zhang, Eric Bouillet, and Dimitrios Pendarakis. 2010. Efficient resource provisioning in compute clouds via VM multiplexing. In ICAC.
[8]
Sparsh Mittal. 2014. A Survey of Techniques for Improving Energy Efficiency in Embedded Computing Systems. IJCAET 6, 4 (2014), 450--459.
[9]
Parthasarathy Ranganathan, Phil Leech, David Irwin, and Jeffrey Chase. 2006. Ensemble-level Power Management for Dense Blade Servers. In ISCA.
[10]
Joshua Reich, Michel Goraczko, Aman Kansal, and Jitendra Padhye. 2010. Sleepless in Seattle No Longer. (2010). Retrieved February 23, 2017 from https://www.microsoft.com/en-us/research/publication/sleepless- in-seattle-no-longer/
[11]
Qiang Wu, Qingyuan Deng, Lakshmi Ganesh, Chang-Hong Hsu, Yun Jin, Sanjeev Kumar, Bin Li, Justin Meza, and Yee Jiung Song. 2016. Dynamo: Facebook's Data Center-wide Power Management System. In ISCA.
[12]
Junji Zhi, Nilton Bila, and Eyal de Lara. 2016. Oasis: Energy Proportionality with Hybrid Server Consolidation. In EuroSys.
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- Drowsy-DC, datacenter power management inspired by smartphones: poster
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Published: 11 December 2017
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