research-article

Greening the internet with nano data centers

Authors:

Vytautas Valancius,

Nikolaos Laoutaris,

Laurent Massoulié,

Christophe Diot,

Pablo RodriguezAuthors Info & Claims

CoNEXT '09: Proceedings of the 5th international conference on Emerging networking experiments and technologies

Pages 37 - 48

https://doi.org/10.1145/1658939.1658944

Published: 01 December 2009 Publication History

Abstract

Motivated by increased concern over energy consumption in modern data centers, we propose a new, distributed computing platform called Nano Data Centers (NaDa). NaDa uses ISP-controlled home gateways to provide computing and storage services and adopts a managed peer-to-peer model to form a distributed data center infrastructure. To evaluate the potential for energy savings in NaDa platform we pick Video-on-Demand (VoD) services. We develop an energy consumption model for VoD in traditional and in NaDa data centers and evaluate this model using a large set of empirical VoD access data. We find that even under the most pessimistic scenarios, NaDa saves at least 20% to 30% of the energy compared to traditional data centers. These savings stem from energy-preserving properties inherent to NaDa such as the reuse of already committed baseline power on underutilized gateways, the avoidance of cooling costs, and the reduction of network energy consumption as a result of demand and service co-localization in NaDa.

References

[1]

http://climatetechnology.gov/library/2003/tech-options/tech-options-1-3-2.pdf.

[2]

http://www.powerwatch.org.uk/energy/graham.asp.

[3]

Data Center Report to Congress. http://www.energystar.gov/ia/partners/prod_development/downloads/EPA_Da%tacenter_Report_Congress_Final1.pdf.

[4]

Google Data Center Power Usage Efficiency. http://www.google.com/corporate/datacenters/measuring.html.

[5]

Thomson's sapphire server data sheet. http://www.thomsongrassvalley.com/docs/DataSheets/tbm/sapphire$\_$broad%cast/CDT-3039D-2.pdf.

[6]

Uptime Institute. http://www.uptimeinstitute.org.

[7]

L. A. Barroso and U. Hölzle. The case for energy-proportional computing. Computer, 40(12):33--37, 2007.

Digital Library

[8]

M. Cha, H. Kwak, P. Rodriguez, Y.-Y. Ahn, and S. Moon. I tube, you tube, everybody tubes: analyzing the world's largest user generated content video system. In IMC '07: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, pages 1--14, New York, NY, USA, 2007. ACM.

Digital Library

[9]

M. Cha, P. Rodriguez, J. Crowcroft, S. Moon, and X. Amatriain. Watching television over an ip network. In IMC '08: Proceedings of the 8th ACM SIGCOMM conference on Internet measurement, pages 71--84, New York, NY, USA, 2008. ACM.

Digital Library

[10]

J. Chabarek, J. Sommers, P. Barford, C. Estan, D. Tsiang, and S. Wright. Power awareness in network design and routing. In INFOCOM 2008. The 27th Conference on Computer Communications. IEEE, pages 457--465, 2008.

[11]

J. S. Chase, D. C. Anderson, P. N. Thakar, A. M. Vahdat, and R. P. Doyle. Managing energy and server resources in hosting centers. In Proc. of ACM SOSP '01, pages 103--116, 2001.

Digital Library

[12]

K. Church, A. Greenberg, and J. Hamilton. On delivering embarrassingly distributed cloud services. In Proc. of HotNets-VII, 2008.

[13]

Cisco Visual Networking Index. http://newsroom.cisco.com/visualnetworkingindex/.

[14]

M. Dischinger, A. Haeberlen, K. P. Gummadi, and S. Saroiu. Characterizing residential broadband networks. In IMC '07: Proceedings of the 7th ACM SIGCOMM conference on Internet measurement, pages 43--56, New York, NY, USA, 2007. ACM.

Digital Library

[15]

X. Fan, C. Ellis, and A. Lebeck. Memory controller policies for dram power management. In ISLPED '01: Proceedings of the 2001 international symposium on Low power electronics and design, pages 129--134, New York, NY, USA, 2001. ACM.

Digital Library

[16]

X. Fan, W.-D. Weber, and L. A. Barroso. Power provisioning for a warehouse-sized computer. In ISCA '07: Proceedings of the 34th annual international symposium on Computer architecture, pages 13--23, New York, NY, USA, 2007. ACM.

Digital Library

[17]

C. Gunaratne, K. Christensen, and B. Nordman. Managing energy consumption costs in desktop pcs and lan switches with proxying, split tcp connections, and scaling of link speed. Int. J. Netw. Manag., 15(5):297--310, 2005.

Digital Library

[18]

M. Gupta and S. Singh. Greening of the internet. In SIGCOMM'03: Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications, pages 19--26, New York, NY, USA, 2003. ACM.

Digital Library

[19]

J. Hamilton. Where does power go in high-scale data centers? Tutorial, ACM Sigmetrics, 2009.

[20]

N. Laoutaris, P. Rodriguez, and L. Massoulie. Echos: edge capacity hosting overlays of nano data centers. ACM SIGCOMM Comput. Commun. Rev., 38(1):51--54, 2008.

Digital Library

[21]

J. R. Lorch. Operating systems techniques for reducing processor energy consumption. PhD thesis, 2001. Chair-Smith, Alan Jay.

Digital Library

[22]

S. McAllister, V. P. Carey, A. Shah, C. Bash, and C. Patel. Strategies for effective use of exergy-based modeling of data center thermal management systems. Microelectron. J., 39(7):1023--1029, 2008.

Digital Library

[23]

J. C. Mogul. Improving Energy Efficiency for Networked Applications, Dec. 2007. Keynote Address at ACM/IEEE ANCS 2007.

[24]

S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wetherall. Reducing network energy consumption via sleeping and rate-adaptation. In NSDI'08: Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation, pages 323--336, Berkeley, CA, USA, 2008. USENIX Association.

Digital Library

[25]

S. Nedevschi, L. Popa, G. Iannaccone, S. Ratnasamy, and D. Wetherall. Reducing network energy consumption via sleeping and rate-adaptation. In NSDI'08: Proceedings of the 5th USENIX Symposium on Networked Systems Design and Implementation, pages 323--336, Berkeley, CA, USA, 2008. USENIX Association.

Digital Library

[26]

A. Sinha and A. P. Chandrakasan. Energy efficient real-time scheduling. In ICCAD '01: Proceedings of the 2001 IEEE/ACM international conference on Computer-aided design, pages 458--463, Piscataway, NJ, USA, 2001. IEEE Press.

Digital Library

[27]

K. Suh, J. F. Kurose, L. Massoulie, D. Towsley, M. Varvello, C. Diot, C. Diot, C. Neumann, and C. Neumann. Push-to-peer video-ondemand system: design and evaluation. Technical report, In UMass Computer Science Techincal Report 2006--59, 2006.

[28]

Z. Wen, S. Triukose, and M. Rabinovich. Facilitating focused internet measurements. In SIGMETRICS '07: Proceedings of the 2007 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, pages 49--60, New York, NY, USA, 2007. ACM.

Digital Library

[29]

B. Zhai, D. Blaauw, D. Sylvester, and K. Flautner. Theoretical and practical limits of dynamic voltage scaling. In DAC '04: Proceedings of the 41st annual conference on Design automation, pages 868--873, New York, NY, USA, 2004. ACM.

Digital Library

Cited By

Zhang JYang FLiu TWu QZhao WZhang YChen WLiu YGuo HMa YLi ZVanbever LZhang I(2024)TECCProceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation10.5555/3691825.3691840(253-266)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.5555/3691825.3691840
Almadani BAliyu FAliyu A(2023)Integrated Operation Centers in Smart Cities: A Humanitarian Engineering PerspectiveSustainability10.3390/su15141110115:14(11101)Online publication date: 17-Jul-2023
https://doi.org/10.3390/su151411101
Kanday RSingh R(2023)Implementing an Intelligent Energy Management Framework for IoT Edge Devices2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)10.1109/UPCON59197.2023.10434829(47-51)Online publication date: 1-Dec-2023
https://doi.org/10.1109/UPCON59197.2023.10434829
Show More Cited By

Recommendations

Energy Consumption of Content Distribution from Nano Data Centers versus Centralized Data Centers

Energy consumption of nano data centers has recently been a topic of interest as they emerge as a novel computing and storage platform. We present end-to-end energy consumption models for nano data centers and its centralized counterpart. To assess the ...
Toward sustainable data centers: a comprehensive energy management strategy

Data centers are major contributors to the emission of carbon dioxide to the atmosphere, and this contribution is expected to increase in the following years. This has encouraged the development of techniques to reduce the energy consumption and the ...
A call for energy efficiency in data centers

In this paper, we explore a data center's performance with a call for energy efficiency through green computing. Some performance metrics we examine in data centers are server energy usage, Power Usage Effectiveness and utilization rate, i.e., the ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CoNEXT '09: Proceedings of the 5th international conference on Emerging networking experiments and technologies

December 2009

362 pages

ISBN:9781605586366

DOI:10.1145/1658939

General Chairs:
Jörg Liebeherr
University of Toronto, Canada
,
Giorgio Ventre
University of Napoli, Italy
,
Program Chairs:
Ernst Biersack
Eurecom, France
,
S. Keshav
University of Waterloo, Canada

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGCOMM: ACM Special Interest Group on Data Communication

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2009

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

Co-NEXT '09

Sponsor:

SIGCOMM

Co-NEXT '09: Conference on emerging Networking EXperiments and Technologies

December 1 - 4, 2009

Rome, Italy

Acceptance Rates

Overall Acceptance Rate 198 of 789 submissions, 25%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

265
Total Citations
View Citations
1,407
Total Downloads

Downloads (Last 12 months)22
Downloads (Last 6 weeks)5

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Zhang JYang FLiu TWu QZhao WZhang YChen WLiu YGuo HMa YLi ZVanbever LZhang I(2024)TECCProceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation10.5555/3691825.3691840(253-266)Online publication date: 16-Apr-2024
https://dl.acm.org/doi/10.5555/3691825.3691840
Almadani BAliyu FAliyu A(2023)Integrated Operation Centers in Smart Cities: A Humanitarian Engineering PerspectiveSustainability10.3390/su15141110115:14(11101)Online publication date: 17-Jul-2023
https://doi.org/10.3390/su151411101
Kanday RSingh R(2023)Implementing an Intelligent Energy Management Framework for IoT Edge Devices2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)10.1109/UPCON59197.2023.10434829(47-51)Online publication date: 1-Dec-2023
https://doi.org/10.1109/UPCON59197.2023.10434829
Dey SPal S(2023)Controlling Air Pollution in Data Centers using Green Data Centers2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)10.1109/CCGridW59191.2023.00043(200-205)Online publication date: May-2023
https://doi.org/10.1109/CCGridW59191.2023.00043
Simonet-Boulogne ASolberg ASinaeepourfard ARoman DPerales FLedakis GPlakas ISengupta S(2022)Toward blockchain-based fog and edge computing for privacy-preserving smart citiesFrontiers in Sustainable Cities10.3389/frsc.2022.8469874Online publication date: 21-Sep-2022
https://doi.org/10.3389/frsc.2022.846987
Awotunde JIjaz MBhoi AAbdulRaheem MOladipo IBarsocchi P(2022)Edge-IoMT-based enabled architecture for smart healthcare system5G IoT and Edge Computing for Smart Healthcare10.1016/B978-0-323-90548-0.00006-1(1-27)Online publication date: 2022
https://doi.org/10.1016/B978-0-323-90548-0.00006-1
Venkata Subbaiah CGovinda K(2022)Data-Driven Approach to Deflate Consumption in Delay Tolerant NetworksIntelligent Computing and Applications10.1007/978-981-19-4162-7_5(39-47)Online publication date: 14-Nov-2022
https://doi.org/10.1007/978-981-19-4162-7_5
Mandal RBanerjee SIslam MChatterjee PBiswas U(2022)QoS and Energy Efficiency Using Green Cloud ComputingIntelligent Internet of Things for Healthcare and Industry10.1007/978-3-030-81473-1_14(287-305)Online publication date: 12-Feb-2022
https://doi.org/10.1007/978-3-030-81473-1_14
Prakash VWilliams AGarg LSavaglio CBawa S(2021)Cloud and Edge Computing-Based Computer Forensics: Challenges and Open ProblemsElectronics10.3390/electronics1011122910:11(1229)Online publication date: 21-May-2021
https://doi.org/10.3390/electronics10111229
Kumar DBaranwal GVidyarthi D(2021)A Survey on Auction based Approaches for Resource Allocation and Pricing in Emerging Edge TechnologiesJournal of Grid Computing10.1007/s10723-021-09593-920:1Online publication date: 27-Dec-2021
https://doi.org/10.1007/s10723-021-09593-9
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten