research-article

Personal volunteer computing

Authors:

Laurie HendrenAuthors Info & Claims

CF '19: Proceedings of the 16th ACM International Conference on Computing Frontiers

Pages 240 - 246

https://doi.org/10.1145/3310273.3322819

Published: 30 April 2019 Publication History

Abstract

We propose personal volunteer computing, a novel paradigm to encourage technical solutions that leverage personal devices, such as smartphones and laptops, for personal applications that require significant computations, such as animation rendering and image processing. The paradigm requires no investment in additional hardware, relying instead on devices that are already owned by users and their community, and favours simple tools that can be implemented part-time by a single developer. We show that samples of personal devices of today are competitive with a top-of-the-line laptop from two years ago. We also propose new directions to extend the paradigm.

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Cited By

Pramanik PPal SMukhopadhyay MChoudhury P(2024)Sustainable edge computing with mobile crowd computing: a proof-of-concept with a smart HVAC use caseThe Journal of Supercomputing10.1007/s11227-024-06364-7Online publication date: 29-Jul-2024
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cover image ACM Conferences

CF '19: Proceedings of the 16th ACM International Conference on Computing Frontiers

April 2019

414 pages

ISBN:9781450366854

DOI:10.1145/3310273

General Chairs:
Francesca Palumbo
Universit`a degli Studi di Sassari, IT
,
Michela Becchi
North Carolina State University
,
Program Chairs:
Martin Schulz
Technical University of Munich, DE
,
Kento Sato
RIKEN R-CCS, JP

Copyright © 2019 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 the author(s) 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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Published: 30 April 2019

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Natural Sciences and Engineering Research Council of Canada
Fonds de Recherche du Québec - Nature et Technologies

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CF '19: Computing Frontiers Conference

April 30 - May 2, 2019

Alghero, Italy

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Overall Acceptance Rate 273 of 785 submissions, 35%

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Cited By

Pramanik PPal SMukhopadhyay MChoudhury P(2024)Sustainable edge computing with mobile crowd computing: a proof-of-concept with a smart HVAC use caseThe Journal of Supercomputing10.1007/s11227-024-06364-7Online publication date: 29-Jul-2024
https://doi.org/10.1007/s11227-024-06364-7
Ueda TKondo DTanigawa YTode H(2023)Computing Node Selection Method Based on Proactive Grasping of Computational Performance in End Cloud Environments2023 IEEE 20th Consumer Communications & Networking Conference (CCNC)10.1109/CCNC51644.2023.10060095(672-673)Online publication date: 8-Jan-2023
https://doi.org/10.1109/CCNC51644.2023.10060095
Haris MShah MMaple C(2023)Internet of Intelligent Vehicles (IoIV): An Intelligent VANET Based Computing via Predictive ModelingIEEE Access10.1109/ACCESS.2023.324488611(49665-49674)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3244886
Pramanik PPal SChoudhury P(2023)Mobile crowd computing: potential, architecture, requirements, challenges, and applicationsThe Journal of Supercomputing10.1007/s11227-023-05545-080:2(2223-2318)Online publication date: 29-Jul-2023
https://doi.org/10.1007/s11227-023-05545-0
Cotta C(2023)Enhancing Evolutionary Optimization Performance Under Byzantine Fault ConditionsHybrid Artificial Intelligent Systems10.1007/978-3-031-40725-3_29(341-351)Online publication date: 29-Aug-2023
https://doi.org/10.1007/978-3-031-40725-3_29
Bibi IAkhunzada AMalik JKhan MDawood M(2022)Secure Distributed Mobile Volunteer Computing with AndroidACM Transactions on Internet Technology10.1145/342815122:1(1-21)Online publication date: 28-Feb-2022
https://dl.acm.org/doi/10.1145/3428151
Dutta Pramanik PBiswas TChoudhury P(2022)Multicriteria-based Resource-Aware Scheduling in Mobile Crowd Computing: A Heuristic ApproachJournal of Grid Computing10.1007/s10723-022-09633-y21:1Online publication date: 20-Dec-2022
https://doi.org/10.1007/s10723-022-09633-y
Konovalov MRazumchik R(2021)New Policy for Routing Jobs to Unobservable Parallel Queues with FIFO SchedulingJournal of Communications Technology and Electronics10.1134/S106422692106017666:6(737-744)Online publication date: 18-Jun-2021
https://doi.org/10.1134/S1064226921060176
Imtiaz SRehman SJaved AJalil ZLiu XAlnumay W(2021)DeepAMD: Detection and identification of Android malware using high-efficient Deep Artificial Neural NetworkFuture Generation Computer Systems10.1016/j.future.2020.10.008115(844-856)Online publication date: Feb-2021
https://doi.org/10.1016/j.future.2020.10.008
Lamba RJain VSaini D(2021)Calculating the Proof of Work Using Volunteer ComputingProceedings of 3rd International Conference on Computing Informatics and Networks10.1007/978-981-15-9712-1_36(427-437)Online publication date: 15-Mar-2021
https://doi.org/10.1007/978-981-15-9712-1_36
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