DocumentCode :
1048004
Title :
Resilient and coherence preserving dissemination of dynamic data using cooperating peers
Author :
Shah, Shetal ; Ramamritham, Krithi ; Shenoy, Prashant
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Mumbai, India
Volume :
16
Issue :
7
fYear :
2004
fDate :
7/1/2004 12:00:00 AM
Firstpage :
799
Lastpage :
812
Abstract :
The focus of our work is to design and build a dynamic data distribution system that is coherence-preserving, i.e. the delivered data must preserve associated coherence requirements (the user-specified bound on tolerable imprecision) and resilient to failures. To this end, we consider a system in which a set of repositories cooperate with each other and the sources, forming a peer-to-peer network. In this system, necessary changes are pushed to the users so that they are automatically informed, about changes of interest. We present techniques 1) to determine when to push an update from one repository to another for coherence maintenance, 2) to construct an efficient dissemination tree for propagating changes from sources to cooperating repositories, and 3) to make the system resilient to failures. An experimental evaluation using real world traces of dynamically changing data demonstrates that 1) careful dissemination of updates through a network of cooperating repositories can substantially lower the cost of coherence maintenance, 2) unless designed carefully, even push-based systems experience considerable loss in fidelity due to message delays and processing costs, 3) the computational and communication cost of achieving resiliency is made to be low, and 4) surprisingly, adding resiliency actually improve fidelity even in the absence of failures.
Keywords :
Internet; distributed databases; information dissemination; coherence preserving; cooperation; dynamic data dissemination; resiliency; Coherence; Computational efficiency; Computer networks; Condition monitoring; Costs; Decision making; Helium; Internet; Network servers; Quality of service;
fLanguage :
English
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
1041-4347
Type :
jour
DOI :
10.1109/TKDE.2004.1318563
Filename :
1318563
Link To Document :
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