2026-09-18T20:50:39Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/774532021-07-05T14:03:20Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Muriel Médard.
Zhang, Amy Xian.
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2013-03-01T15:06:45Z
2013-03-01T15:06:45Z
2012
2012
http://hdl.handle.net/1721.1/77453
826647936
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 53).
This thesis covers a basic framework to calculate the maximum computation rate of a set of functions over a network. These functions are broken down into a series of computations, which are distributed among nodes of the network, with the output sent to the terminal node. We analyze two models with different types of computation costs, a linear computation cost model and a maximum computation cost model. We show how computation distribution through the given network changes with different types of computation and communication limitations. This framework can also be used in cloud design, where a network of given complexity is designed to maximize computation rate for a given set of functions. We provide a greedy algorithm that provides one solution to this problem, and create simulations for each framework, and analyze the results.
by Amy Zhang.
M.Eng.
53 p.
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
A functional flow framework for cloud computing
Thesis
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Publication
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