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Facilitating Volunteer Computing Resources for In-Network Processing through Message Template

Nguyen, The An Binh ; Meurisch, Christian ; Niemczyk, Stefan ; Klos, Christian ; Böhnstedt, Doreen ; Steinmetz, Ralf (2017)
Facilitating Volunteer Computing Resources for In-Network Processing through Message Template.
Göttingen
doi: 10.1109/NetSys.2017.7931515
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

<div>Crowd sensing is an emerging paradigm that utilizes the power of the smart devices within the crowd to collect information. In general, the collected information is aggregated in a cloud server for further analysis. Such centralized analysis model can be at disadvantage in several cases. For instance, in emergency response, where the communication infrastructure is unstable while the results of data analyses are critical for timely relief operations. To cope with this situation, the volunteered processing capabilities of the devices within the crowd can be exploited for data analysis directly in the network. However, exploiting volunteered mobile resources in a decentralized unstable network without coordinated entities is still challenging. For this purpose, we propose an encapsulated message template designed to support in-network data analysis for decentralized ad-hoc network. The demonstration shown in this work showcases the exploitation of volunteered crowd resources to carry out data analysis using our proposed message template.</div>

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Nguyen, The An Binh ; Meurisch, Christian ; Niemczyk, Stefan ; Klos, Christian ; Böhnstedt, Doreen ; Steinmetz, Ralf
Art des Eintrags: Bibliographie
Titel: Facilitating Volunteer Computing Resources for In-Network Processing through Message Template
Sprache: Englisch
Publikationsjahr: März 2017
Verlag: IEEE
Buchtitel: 2017 International Conference on Networked Systems (NetSys)
Veranstaltungsort: Göttingen
DOI: 10.1109/NetSys.2017.7931515
URL / URN: http://netsys17.uni-goettingen.de/?page_id=870
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Kurzbeschreibung (Abstract):

<div>Crowd sensing is an emerging paradigm that utilizes the power of the smart devices within the crowd to collect information. In general, the collected information is aggregated in a cloud server for further analysis. Such centralized analysis model can be at disadvantage in several cases. For instance, in emergency response, where the communication infrastructure is unstable while the results of data analyses are critical for timely relief operations. To cope with this situation, the volunteered processing capabilities of the devices within the crowd can be exploited for data analysis directly in the network. However, exploiting volunteered mobile resources in a decentralized unstable network without coordinated entities is still challenging. For this purpose, we propose an encapsulated message template designed to support in-network data analysis for decentralized ad-hoc network. The demonstration shown in this work showcases the exploitation of volunteered crowd resources to carry out data analysis using our proposed message template.</div>

Freie Schlagworte: Mobile Networking
ID-Nummer: TUD-CS-2017-0015
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Datentechnik > Multimedia Kommunikation
20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
LOEWE
LOEWE > LOEWE-Schwerpunkte
LOEWE > LOEWE-Schwerpunkte > NICER – Vernetzte infrastrukturlose Kooperation zur Krisenbewältigung
Hinterlegungsdatum: 09 Jan 2017 11:34
Letzte Änderung: 12 Okt 2018 13:53
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