skip to main content
10.1145/2307849.2307854acmconferencesArticle/Chapter ViewAbstractPublication PagesmobisysConference Proceedingsconference-collections
research-article

Vision: mClouds - computing on clouds of mobile devices

Published: 25 June 2012 Publication History

Abstract

When we think of mobile cloud computing today, we typically refer to empowering mobile devices - in particular smartphones and tablets - with the capabilities of stationary resources residing in giant data centers. But what happens when these mobile devices become as powerful as our personal computers or more? This paper presents our vision of a future in which mobile devices become a core component of mobile cloud computing architectures. We envision a world where mobile devices will be capable of forming mobile clouds, or mClouds, to accomplish tasks locally without relying, when possible, on costly and, sometimes, inefficient backend communication. We discuss a possible mClouds architecture, its benefits and tradeoffs, and the user incentive scheme to support the mCloud design.

References

[1]
AT&T 2011 Annual Report. http://www.att.com/Common/about_us/files/pdf/ar2011_annual_report.pdf.
[2]
AT&T Watson. http://tinyurl.com/7qvd4l4.
[3]
Personal Networks. http://nrlweb.cs.ucla.edu/project/show/3.
[4]
Qualcomm's Flashlinq. http://tinyurl.com/c3ba46s.
[5]
Trends in Smartphone Data Use. http://www.arieso.com/news-article.html?id=89.
[6]
S. Basagni, et al. Mobile ad hoc Networking. Wiley-IEEE Press, 2004.
[7]
M. Conti and M. Kumar. Opportunities in Opportunistic Computing. Computer, 43(1):42--50, 2010.
[8]
E. Cuervo, et al. Maui: Making Smartphones Last Longer with Code Offload. In Proc. of MobiSys'10.
[9]
D. Huggins-Daines, et al. PocketSphinx: A Free, Real-Time Continuous Speech Recognition System for Hand-Held Devices. In Proc. of ICASSP 2006.
[10]
C. Joe-Wong, et al. Time-Dependent Broadband Pricing: Feasibility and Benefits. In Proc. of ICDCS'11.
[11]
E. Koukoumidis, et al. Pocket Cloudlets. ACM SIGARCH Computer Architecture News, 39(1):171--184, 2011.
[12]
N. Lane, et al. A Survey of Mobile Phone Sensing. Communications Magazine, IEEE, 48(9):140--150, 2010.
[13]
H. Mendelson. Pricing Computer Services: Queuing Effects. Communications of the ACM, 1985.
[14]
E. Miluzzo, et al. Darwin Phones: the Evolution of Sensing and Inference on Mobile Phones. In Proc. of MobiSys'10.
[15]
M. Satyanarayanan, et al. The Case for VM-Based Cloudlets in Mobile Computing. Pervasive Computing, IEEE, 8(4):14--23, 2009.
[16]
L. P. Cox and P. M. Chen. Pocket Hypervisors: Opportunities and Challenges. ACM HotMobile'07, 46--50, 2007.
[17]
Uninor. Dynamic Pricing Plan with per Second Billing, Feb. 2010. http://bit.ly/oBl9kW.

Cited By

View all
  • (2025)On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing ArchitectureFuture Internet10.3390/fi1701002217:1(22)Online publication date: 7-Jan-2025
  • (2024)Edge computing in future wireless networks: A comprehensive evaluation and vision for 6G and beyondICT Express10.1016/j.icte.2024.08.00710:5(1151-1173)Online publication date: Oct-2024
  • (2023)Robust Task Offloading in Dynamic Edge ComputingIEEE Transactions on Mobile Computing10.1109/TMC.2021.306874822:1(500-514)Online publication date: 1-Jan-2023
  • Show More Cited By

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
MCS '12: Proceedings of the third ACM workshop on Mobile cloud computing and services
June 2012
68 pages
ISBN:9781450313193
DOI:10.1145/2307849
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

In-Cooperation

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 June 2012

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. distributed systems
  2. mobile cloud computing
  3. mobile devices

Qualifiers

  • Research-article

Conference

MobiSys'12
Sponsor:

Acceptance Rates

Overall Acceptance Rate 8 of 12 submissions, 67%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)15
  • Downloads (Last 6 weeks)0
Reflects downloads up to 20 Feb 2025

Other Metrics

Citations

Cited By

View all
  • (2025)On Edge-Fog-Cloud Collaboration and Reaping Its Benefits: A Heterogeneous Multi-Tier Edge Computing ArchitectureFuture Internet10.3390/fi1701002217:1(22)Online publication date: 7-Jan-2025
  • (2024)Edge computing in future wireless networks: A comprehensive evaluation and vision for 6G and beyondICT Express10.1016/j.icte.2024.08.00710:5(1151-1173)Online publication date: Oct-2024
  • (2023)Robust Task Offloading in Dynamic Edge ComputingIEEE Transactions on Mobile Computing10.1109/TMC.2021.306874822:1(500-514)Online publication date: 1-Jan-2023
  • (2023)Towards Human-Centred Crowd Computing: Software for Better Use of Computational Resources2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)10.1109/ICSE-NIER58687.2023.00022(90-94)Online publication date: May-2023
  • (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
  • (2022)A Case Study on the Deployment of a Tactile Internet Application in a Hybrid Cloud, Edge, and Mobile Ad Hoc Cloud EnvironmentIEEE Systems Journal10.1109/JSYST.2021.307409516:1(1182-1193)Online publication date: Mar-2022
  • (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
  • (2022)Mobile Ad-hoc Cloud ComputingBeyond Edge Computing10.1007/978-3-031-23344-9_5(61-71)Online publication date: 26-Dec-2022
  • (2022)Edge Computing and LearningThe Evolution of Pervasive Information Systems10.1007/978-3-031-18176-4_5(99-122)Online publication date: 20-Sep-2022
  • (2021)A Comparative Analysis of Multi-Criteria Decision-Making Methods for Resource Selection in Mobile Crowd ComputingSymmetry10.3390/sym1309171313:9(1713)Online publication date: 16-Sep-2021
  • Show More Cited By

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media