research-article

A case for micro-cellstores: energy-efficient data management on recycled smartphones

Authors:

Stavros Harizopoulos,

Spiros PapadimitriouAuthors Info & Claims

DaMoN '11: Proceedings of the Seventh International Workshop on Data Management on New Hardware

Pages 50 - 55

https://doi.org/10.1145/1995441.1995448

Published: 13 June 2011 Publication History

Abstract

Increased energy costs and concerns for sustainability make the following question more relevant than ever: can we turn old or unused computing equipment into cost- and energy-efficient modules that can be readily repurposed? We believe the answer is yes, and our proposal is to turn unused smartphones into micro-data center composable modules. In this paper, we introduce the concept of a Micro-Cellstore (MCS), a stand-alone data-appliance housing dozens of recycled smartphones. Through detailed power and performance measurements on a Linux-based current-generation smartphone, we assess the potential of MCSs as a data management platform. In this paper we focus on scan-based partitionable workloads. We show that smartphones are overall more energy efficient than recently proposed low-power alternatives, based on an initial evaluation over a wide range of single-node database scan workloads, and that the gains become more significant when operating on narrow tuples (i.e., column-stores, or compressed row-stores). Our initial results are very encouraging, showing efficiency gains of up to 6×, and indicate several promising future directions.

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Cited By

Zuck APorter DTsafrir DBaumann ACrooks NSchwarzkopf M(2023)Degrading Data to Save the PlanetProceedings of the 19th Workshop on Hot Topics in Operating Systems10.1145/3593856.3595896(61-69)Online publication date: 22-Jun-2023
https://dl.acm.org/doi/10.1145/3593856.3595896
Switzer JMarcano GKastner RPannuto PAamodt TJerger NSwift M(2023)Junkyard Computing: Repurposing Discarded Smartphones to Minimize CarbonProceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 210.1145/3575693.3575710(400-412)Online publication date: 27-Jan-2023
https://dl.acm.org/doi/10.1145/3575693.3575710
Schaffner BSawin JMyre J(2018)Smartphones as Alternative Cloud Computing Engines: Benefits and Trade-offs2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)10.1109/FiCloud.2018.00043(244-250)Online publication date: Aug-2018
https://doi.org/10.1109/FiCloud.2018.00043
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Index Terms

A case for micro-cellstores: energy-efficient data management on recycled smartphones
1. Information systems
  1. Information systems applications

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Published In

cover image ACM Conferences

DaMoN '11: Proceedings of the Seventh International Workshop on Data Management on New Hardware

June 2011

58 pages

ISBN:9781450306584

DOI:10.1145/1995441

Editors:
Stavros Harizopoulos
HP Labs MAIL@[email protected]
,
Qiong Luo
Hong Kong University of Science and Technology MAIL@[email protected]

Copyright © 2011 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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SIGMOD: ACM Special Interest Group on Management of Data

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 June 2011

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SIGMOD

SIGMOD/PODS '11: International Conference on Management of Data

June 13, 2011

Athens, Greece

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Overall Acceptance Rate 94 of 127 submissions, 74%

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Cited By

Zuck APorter DTsafrir DBaumann ACrooks NSchwarzkopf M(2023)Degrading Data to Save the PlanetProceedings of the 19th Workshop on Hot Topics in Operating Systems10.1145/3593856.3595896(61-69)Online publication date: 22-Jun-2023
https://dl.acm.org/doi/10.1145/3593856.3595896
Switzer JMarcano GKastner RPannuto PAamodt TJerger NSwift M(2023)Junkyard Computing: Repurposing Discarded Smartphones to Minimize CarbonProceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 210.1145/3575693.3575710(400-412)Online publication date: 27-Jan-2023
https://dl.acm.org/doi/10.1145/3575693.3575710
Schaffner BSawin JMyre J(2018)Smartphones as Alternative Cloud Computing Engines: Benefits and Trade-offs2018 IEEE 6th International Conference on Future Internet of Things and Cloud (FiCloud)10.1109/FiCloud.2018.00043(244-250)Online publication date: Aug-2018
https://doi.org/10.1109/FiCloud.2018.00043
Ashwin Kumar K(2017)Emerging Cost Effective Big Data ArchitecturesHandbook of Big Data Technologies10.1007/978-3-319-49340-4_22(755-776)Online publication date: 26-Feb-2017
https://doi.org/10.1007/978-3-319-49340-4_22
Sirin UAppuswamy RAilamaki A(2016)OLTP on a server-grade ARMProceedings of the 12th International Workshop on Data Management on New Hardware10.1145/2933349.2933359(1-7)Online publication date: 26-Jun-2016
https://dl.acm.org/doi/10.1145/2933349.2933359
Kumar TSenthilkumar R(2016)CWC∗ — Secured distributed computing using Android devices2016 International Conference on Recent Trends in Information Technology (ICRTIT)10.1109/ICRTIT.2016.7569590(1-7)Online publication date: Apr-2016
https://doi.org/10.1109/ICRTIT.2016.7569590
Kumar SKumar KKayarvizhy N(2016)Analysis of information propagation in academic social networks2016 International Conference on Recent Trends in Information Technology (ICRTIT)10.1109/ICRTIT.2016.7569575(1-4)Online publication date: Apr-2016
https://doi.org/10.1109/ICRTIT.2016.7569575
Larkou GMintzis MAndreou PKonstantinidis AZeinalipour-Yazti D(2016)Managing big data experiments on smartphonesDistributed and Parallel Databases10.1007/s10619-014-7158-634:1(33-64)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1007/s10619-014-7158-6
Arslan MSingh ISingh SMadhyastha HSundaresan KV. Krishnamurthy S(2015)CWC: A Distributed Computing Infrastructure Using SmartphonesIEEE Transactions on Mobile Computing10.1109/TMC.2014.236275314:8(1587-1600)Online publication date: 1-Aug-2015
https://doi.org/10.1109/TMC.2014.2362753
Shah MNaheed NZhang S(2015)Energy efficiency in smartphones: A survey on modern tools and techniques2015 21st International Conference on Automation and Computing (ICAC)10.1109/IConAC.2015.7313972(1-6)Online publication date: Sep-2015
https://doi.org/10.1109/IConAC.2015.7313972
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