Mobile device-to-device distributed computing using data sets

Diogo Remédios; António Teófilo; Hervé Paulino; João Lourenço

Mobile device-to-device distributed computing using data sets

Diogo Remédios, António Teófilo, Hervé Paulino, João Lourenço

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The rapidly increasing computing power, available storage and communication capabilities of mobile devices makes it possible to start processing and storing data locally, rather than offloading it to remote servers; allowing scenarios of mobile clouds without infrastructure dependency. We can now aim at connecting neighboring mobile devices, creating a local mobile cloud that provides storage and computing services on local generated data. In this paper, we describe an early overview of a distributed mobile system that allows accessing and processing of data distributed across mobile devices without an external communication infrastructure.

Original language	English
Title of host publication	Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015
Publisher	ICST
Pages	277-278
Number of pages	2
ISBN (Electronic)	9781631900723
Publication status	Published - 2015
Event	12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015 - Coimbra, Portugal Duration: 22 Jul 2015 → 24 Jul 2015

Conference

Conference	12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015
Country	Portugal
City	Coimbra
Period	22/07/15 → 24/07/15

Keywords

Android
Device-to-device computing
Distributed computing
Mobile cloud
Mobile computing

Cite this

@inproceedings{e5b2283b99714266b25b1b513f3a7957,

title = "Mobile device-to-device distributed computing using data sets",

abstract = "The rapidly increasing computing power, available storage and communication capabilities of mobile devices makes it possible to start processing and storing data locally, rather than offloading it to remote servers; allowing scenarios of mobile clouds without infrastructure dependency. We can now aim at connecting neighboring mobile devices, creating a local mobile cloud that provides storage and computing services on local generated data. In this paper, we describe an early overview of a distributed mobile system that allows accessing and processing of data distributed across mobile devices without an external communication infrastructure.",

keywords = "Android, Device-to-device computing, Distributed computing, Mobile cloud, Mobile computing",

author = "Diogo Rem{\'e}dios and Ant{\'o}nio Te{\'o}filo and Herv{\'e} Paulino and Jo{\~a}o Louren{\c c}o",

note = "sem pdf; 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015 ; Conference date: 22-07-2015 Through 24-07-2015",

year = "2015",

language = "English",

pages = "277--278",

booktitle = "Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015",

publisher = "ICST",

}

Remédios, D, Teófilo, A, Paulino, H & Lourenço, J 2015, Mobile device-to-device distributed computing using data sets. in Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015. ICST, pp. 277-278, 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015, Coimbra, Portugal, 22/07/15.

Mobile device-to-device distributed computing using data sets. / Remédios, Diogo; Teófilo, António; Paulino, Hervé ; Lourenço, João.

Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015. ICST, 2015. p. 277-278.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Mobile device-to-device distributed computing using data sets

AU - Remédios, Diogo

AU - Teófilo, António

AU - Paulino, Hervé

AU - Lourenço, João

N1 - sem pdf

PY - 2015

Y1 - 2015

N2 - The rapidly increasing computing power, available storage and communication capabilities of mobile devices makes it possible to start processing and storing data locally, rather than offloading it to remote servers; allowing scenarios of mobile clouds without infrastructure dependency. We can now aim at connecting neighboring mobile devices, creating a local mobile cloud that provides storage and computing services on local generated data. In this paper, we describe an early overview of a distributed mobile system that allows accessing and processing of data distributed across mobile devices without an external communication infrastructure.

AB - The rapidly increasing computing power, available storage and communication capabilities of mobile devices makes it possible to start processing and storing data locally, rather than offloading it to remote servers; allowing scenarios of mobile clouds without infrastructure dependency. We can now aim at connecting neighboring mobile devices, creating a local mobile cloud that provides storage and computing services on local generated data. In this paper, we describe an early overview of a distributed mobile system that allows accessing and processing of data distributed across mobile devices without an external communication infrastructure.

KW - Android

KW - Device-to-device computing

KW - Distributed computing

KW - Mobile cloud

KW - Mobile computing

UR - http://www.scopus.com/inward/record.url?scp=84946022318&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84946022318

SP - 277

EP - 278

BT - Proceedings of the 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015

PB - ICST

T2 - 12th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MOBIQUITOUS 2015

Y2 - 22 July 2015 through 24 July 2015

ER -

Mobile device-to-device distributed computing using data sets

Abstract

Conference

Keywords

Other files and links

Fingerprint

Cite this