DocumentCode :
2440134
Title :
Stabilizing pipelines for streaming applications
Author :
Berns, Andrew ; Dasgupta, Anurag ; Ghosh, Sukumar
Author_Institution :
Dept. of Comput. Sci., Univ. of Iowa, Iowa City, IA, USA
fYear :
2010
fDate :
19-23 April 2010
Firstpage :
1
Lastpage :
9
Abstract :
In this paper, we study a compositional approach to designing a class of stabilizing distributed systems. We show that the linear pipelined composition of a number of stabilizing modules is inherently stabilizing, and is a useful method of constructing scalable stabilizing solutions for streaming applications that are on the rise in peer-to-peer and sensor networks. We present the correctness proof and complexity analysis of the composition for a linear pipeline. Subsequently, we generalize the pipelined composition to alternative, concurrent, and repetitive versions, investigate the stabilization properties of these versions, and present a set of conditions under which these extended constructions retain their stabilization properties.
Keywords :
distributed algorithms; fault tolerant computing; peer-to-peer computing; pipeline processing; peer-to-peer; pipeline stabilization; scalable stabilizing solutions; sensor networks; stabilizing distributed systems; streaming applications; Application software; Law; Legal factors; Peer to peer computing; Pipelines; Protocols; Sensor phenomena and characterization; Sensor systems; Streaming media; Wireless sensor networks; distributed algorithms; distributed computing; fault tolerance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel & Distributed Processing (IPDPS), 2010 IEEE International Symposium on
Conference_Location :
Atlanta, GA
ISSN :
1530-2075
Print_ISBN :
978-1-4244-6442-5
Type :
conf
DOI :
10.1109/IPDPS.2010.5470392
Filename :
5470392
Link To Document :
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