NDLI: Differentiated Data Persistence with Priority Random Linear Codes

Content Provider	IEEE Xplore Digital Library
Author	Yunfeng Lin Baochun Li Ben Liang
Copyright Year	2007
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Toronto Univ., Toronto, ON (Yunfeng Lin; Baochun Li; Ben Liang)
Abstract	Both peer-to-peer and sensor networks have the fundamental characteristics of node churn and failures. Peers in P2P networks are highly dynamic, whereas sensors are not dependable. As such, maintaining the persistence of periodically measured data in a scalable fashion has become a critical challenge in such systems, without the use of centralized servers. To better cope with node dynamics and failures, we propose priority random linear codes, as well as their affiliated pre-distribution protocols, to maintain measurement data in different priorities, such that critical data have a higher opportunity to survive node failures than data of less importance. A salient feature of priority random linear codes is the ability to partially recover more important subsets of the original data with higher priorities, when it is not feasible to recover all of them due to node dynamics. We present extensive analytical and experimental results to show the effectiveness of priority random linear codes.
Sponsorship	IEEE Comput. Soc. Tech. Comm. Distributed Process.
Starting Page	47
Ending Page	47
File Size	310023
Page Count	1
File Format	PDF
ISBN	0769528373
ISSN	10636927
DOI	10.1109/ICDCS.2007.99
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Linear code Peer to peer computing Network servers Computerized monitoring Sensor phenomena and characterization Protocols Wireless sensor networks Time measurement Streaming media Network coding
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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