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DroidCluster: Towards Smartphone Cluster Computing -- The Streets are Paved with Potential Computer Clusters

Published: 18 June 2012 Publication History

Abstract

What is the processing-power of an omnibus? Can a train compute a climate model? Today's smart phones are becoming more and more powerful and have a performance similar to former high-end workstations. This power can also be used in a joint and cooperative way by building local and mobile ad-hoc clusters. In this paper we will show that setting up a smart phone cluster is not only possible, but it is also a reasonable thing to do, considering the sheer amount of mobile devices and the applications that could benefit from it.

Cited By

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  • (2023)Upscaling Fog Computing in Oceans for Underwater Pervasive Data Science Using Low-Cost Micro-CloudsACM Transactions on Internet of Things10.1145/35758014:2(1-29)Online publication date: 15-Mar-2023
  • (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
  • (2020)A Smartphone-based Network Architecture for Post-disaster Operations Using WiFi TetheringACM Transactions on Internet Technology10.1145/337214520:1(1-27)Online publication date: 10-Feb-2020
  • Show More Cited By

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Information & Contributors

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Published In

cover image Guide Proceedings
ICDCSW '12: Proceedings of the 2012 32nd International Conference on Distributed Computing Systems Workshops
June 2012
650 pages
ISBN:9780769546865

Publisher

IEEE Computer Society

United States

Publication History

Published: 18 June 2012

Author Tags

  1. Cluster Computing
  2. Mobile Cluster
  3. Smartphone

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Cited By

View all
  • (2023)Upscaling Fog Computing in Oceans for Underwater Pervasive Data Science Using Low-Cost Micro-CloudsACM Transactions on Internet of Things10.1145/35758014:2(1-29)Online publication date: 15-Mar-2023
  • (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
  • (2020)A Smartphone-based Network Architecture for Post-disaster Operations Using WiFi TetheringACM Transactions on Internet Technology10.1145/337214520:1(1-27)Online publication date: 10-Feb-2020
  • (2017)Performance of Android Cluster System Allowing Dynamic Node ReconfigurationWireless Personal Communications: An International Journal10.1007/s11277-017-3978-993:4(1067-1087)Online publication date: 1-Apr-2017
  • (2017)A Two-Phase Energy-Aware Scheduling Approach for CPU-Intensive Jobs in Mobile GridsJournal of Grid Computing10.1007/s10723-016-9387-615:1(55-80)Online publication date: 1-Mar-2017
  • (2016)Applying Seamful Design in Location-Based Mobile Museum ApplicationsACM Transactions on Multimedia Computing, Communications, and Applications10.1145/296272012:4(1-23)Online publication date: 24-Aug-2016
  • (2016)Battery-aware centralized schedulers for CPU-bound jobs in mobile GridsPervasive and Mobile Computing10.1016/j.pmcj.2015.08.00329:C(73-94)Online publication date: 1-Jul-2016

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