A functional flow framework for cloud computing
Name
826647936-MIT.pdf
Description
Full printable version
Size
4.57 MB
Format
Adobe PDF
Checksum (MD5)
47ea05d669751f5542ddbdea273801c8
Author(s)
Zhang, Amy Xian.
Advisor(s)
Muriel Médard.
Date Issued
2012
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
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).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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