Electrical Engineering
      and Computer Sciences

Electrical Engineering and Computer Sciences

COLLEGE OF ENGINEERING

UC Berkeley

Distributed inference with declarative overlay networks

Stanislav Funiak, Ashima Atul, Kuang Chen, Joseph M. Hellerstein and Carlos Guestrin

EECS Department
University of California, Berkeley
Technical Report No. UCB/EECS-2008-135
October 19, 2008

http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-135.pdf

There is a growing trend towards systems in multiple distributed locations that generate massive amounts of data. Distributed inference algorithms enable these systems to combine noisy observations without communicating them to a central location. However, the design and implementation of distributed algorithms is very challenging. We propose a combination of overlays and declarative programming to simplify the design of distributed inference algorithms. We demonstrate the effectiveness of our approach on a number of inference algorithms and evaluate the implementation on a suite of datasets in a real network deployment.


BibTeX citation:

@techreport{Funiak:EECS-2008-135,
    Author = {Funiak, Stanislav and Atul, Ashima and Chen, Kuang and Hellerstein, Joseph M. and Guestrin, Carlos},
    Title = {Distributed inference with declarative overlay networks},
    Institution = {EECS Department, University of California, Berkeley},
    Year = {2008},
    Month = {Oct},
    URL = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-135.html},
    Number = {UCB/EECS-2008-135},
    Abstract = {There is a growing trend towards systems in multiple distributed locations that generate massive amounts of data. Distributed inference algorithms enable these systems to combine noisy observations without communicating them to a central location. However, the design and implementation of distributed algorithms is very challenging. We propose a combination of overlays and declarative programming to simplify the design of distributed inference algorithms. We demonstrate the effectiveness of our approach on a number of inference algorithms and evaluate the implementation on a suite of datasets in a real network deployment.}
}

EndNote citation:

%0 Report
%A Funiak, Stanislav
%A Atul, Ashima
%A Chen, Kuang
%A Hellerstein, Joseph M.
%A Guestrin, Carlos
%T Distributed inference with declarative overlay networks
%I EECS Department, University of California, Berkeley
%D 2008
%8 October 19
%@ UCB/EECS-2008-135
%U http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-135.html
%F Funiak:EECS-2008-135