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.

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Cited By

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
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Index Terms

Greening the internet with nano data centers
1. Software and its engineering
  1. Software organization and properties
    1. Software system structures
      1. Distributed systems organizing principles
        Organizing principles for web applications

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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]

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SIGCOMM: ACM Special Interest Group on Data Communication

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 December 2009

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Conference

Co-NEXT '09

Sponsor:

SIGCOMM

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

December 1 - 4, 2009

Rome, Italy

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Overall Acceptance Rate 198 of 789 submissions, 25%

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Cited By

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
Saqib NKhanday N(2020)Computational Offloading in FOG computing using Machine Learning ApproachesInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology10.32628/CSEIT206221(82-88)Online publication date: 12-Mar-2020
https://doi.org/10.32628/CSEIT206221
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