Fides: A hidden market approach for trusted mobile ambient computing

Dimitris Chatzopoulos; Pan Hui; Di Huang

doi:10.1109/INFCOMW.2015.7179353

Fides: A hidden market approach for trusted mobile ambient computing

Dimitris Chatzopoulos
, Pan Hui
, Di Huang

Department of Computer Science and Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

3 Citations (Scopus)

Abstract

We propose Fides, a computation offloading mechanism for mobile devices based on trust between them. Fides provides functionalities to the application developers in terms of (i) application splitting and (ii) metric proposal, according to which the offloading decisions will be made. A collective intelligence mechanism is learning the parameters of the ambient environment and selects the proper nearby devices (helpers) to aid the device that is asking for help (aided) via a linear complexity online algorithm. Experiments in android mobile devices show how user's quality of experience can be improved in terms of battery consumption and delay minimisation.

Original language	English
Title of host publication	2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	81-82
Number of pages	2
ISBN (Electronic)	9781467371315
DOIs	https://doi.org/10.1109/INFCOMW.2015.7179353
Publication status	Published - 4 Aug 2015
Event	IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015 - Hong Kong, Hong Kong Duration: 26 Apr 2015 → 1 May 2015

Publication series

Name	Proceedings - IEEE INFOCOM
Volume	2015-August
ISSN (Print)	0743-166X

Conference

Conference	IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015
Country/Territory	Hong Kong
City	Hong Kong
Period	26/04/15 → 1/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Access to Document

10.1109/INFCOMW.2015.7179353

Cite this

Chatzopoulos, D., Hui, P., & Huang, D. (2015). Fides: A hidden market approach for trusted mobile ambient computing. In 2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015 (pp. 81-82). Article 7179353 (Proceedings - IEEE INFOCOM; Vol. 2015-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFCOMW.2015.7179353

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abstract = "We propose Fides, a computation offloading mechanism for mobile devices based on trust between them. Fides provides functionalities to the application developers in terms of (i) application splitting and (ii) metric proposal, according to which the offloading decisions will be made. A collective intelligence mechanism is learning the parameters of the ambient environment and selects the proper nearby devices (helpers) to aid the device that is asking for help (aided) via a linear complexity online algorithm. Experiments in android mobile devices show how user's quality of experience can be improved in terms of battery consumption and delay minimisation.",

author = "Dimitris Chatzopoulos and Pan Hui and Di Huang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015 ; Conference date: 26-04-2015 Through 01-05-2015",

year = "2015",

month = aug,

day = "4",

doi = "10.1109/INFCOMW.2015.7179353",

language = "English",

series = "Proceedings - IEEE INFOCOM",

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Chatzopoulos, D, Hui, P & Huang, D 2015, Fides: A hidden market approach for trusted mobile ambient computing. in 2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015., 7179353, Proceedings - IEEE INFOCOM, vol. 2015-August, Institute of Electrical and Electronics Engineers Inc., pp. 81-82, IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015, Hong Kong, Hong Kong, 26/04/15. https://doi.org/10.1109/INFCOMW.2015.7179353

Fides: A hidden market approach for trusted mobile ambient computing. / Chatzopoulos, Dimitris; Hui, Pan; Huang, Di.
2015 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 81-82 7179353 (Proceedings - IEEE INFOCOM; Vol. 2015-August).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

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AB - We propose Fides, a computation offloading mechanism for mobile devices based on trust between them. Fides provides functionalities to the application developers in terms of (i) application splitting and (ii) metric proposal, according to which the offloading decisions will be made. A collective intelligence mechanism is learning the parameters of the ambient environment and selects the proper nearby devices (helpers) to aid the device that is asking for help (aided) via a linear complexity online algorithm. Experiments in android mobile devices show how user's quality of experience can be improved in terms of battery consumption and delay minimisation.

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Fides: A hidden market approach for trusted mobile ambient computing

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