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

Nguyen, The An Binh and Meurisch, Christian and Niemczyk, Stefan and Klos, Christian and Böhnstedt, Doreen and Steinmetz, Ralf (2017):
Facilitating Volunteer Computing Resources for In-Network Processing through Message Template.
In: 2017 International Conference on Networked Systems (NetSys), IEEE, Göttingen, DOI: 10.1109/NetSys.2017.7931515, [Online-Edition: http://netsys17.uni-goettingen.de/?page_id=870],
[Conference or Workshop Item]

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>

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Nguyen, The An Binh and Meurisch, Christian and Niemczyk, Stefan and Klos, Christian and Böhnstedt, Doreen and Steinmetz, Ralf
Title: Facilitating Volunteer Computing Resources for In-Network Processing through Message Template
Language: English
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>

Title of Book: 2017 International Conference on Networked Systems (NetSys)
Publisher: IEEE
Uncontrolled Keywords: Mobile Networking
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering
18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications
20 Department of Computer Science
20 Department of Computer Science > Telecooperation
LOEWE
LOEWE > LOEWE-Schwerpunkte
LOEWE > LOEWE-Schwerpunkte > NiCER – Networked infrastructureless Cooperation for Emergency Response
Event Location: Göttingen
Date Deposited: 09 Jan 2017 11:34
DOI: 10.1109/NetSys.2017.7931515
Official URL: http://netsys17.uni-goettingen.de/?page_id=870
Identification Number: TUD-CS-2017-0015
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