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Title: Low-Latency Service Data Aggregation Using Policy Obligations
Authors: Reiff-Marganiec, Stephan
Tilly, M.
Janicke, H.
First Published: 2-Jul-2014
Presented at: IEEE International Conference on Web Services (ICWS), 2014, Anchorage, AK
Start Date: 27-Jun-2014
End Date: 2-Jul-2014
Publisher: IEEE
Citation: Web Services (ICWS), 2014 IEEE International Conference on
Abstract: The Internet of Things, large scale sensor networks or even in social media, are now well established and their use is growing daily. Usage scenarios in these fields highlight the requirement to process, procure, and provide information with almost zero latency. This work is introducing new concepts for enabling fast communication by limiting information flow through filtering concepts combined with data processing techniques adopted from complex event processing. Specifically we introduce a novel mediation services architecture using filter policies to reduce latency. The filter policies define when and what data services need to provide to the mediator and thus save on bandwidth. The filter policies describe temporal conditions between two events removing the need to keep a complete history while still allowing temporal reasoning. Promising experimental results highlight the advantages to be gained from the approach.
DOI Link: 10.1109/ICWS.2014.80
ISBN: 978-1-4799-5053-9
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Archived with reference to SHERPA/RoMEO and publisher website. © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Appears in Collections:Conference Papers & Presentations, Dept. of Computer Science

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