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Client-side optimizations for mobile publish subscribe systems

Author(s)
Toy, Kimberly L
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Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.
Advisor
Samuel R. Madden.
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M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582
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Abstract
Smartphones can provide a great deal of information about their users using numerous built-in sensors, such as location, local weather conditions, or current method of travel. This information has the potential to be relevant to other users, allowing them to be alerted about pertinent events in real-time, such as knowing where their family members are. This thesis proposes a design for a publish-subscribe system aimed to support sharing sensor data between mobile clients, where users can specify complex subscriptions over sensor data generated by other phones and receive alerts when a relevant event occurs. We present a number of client-side optimizations for collecting sensor data on the mobile device and communicating that data with the publish subscribe server efficiently, in order to reduce battery usage and data transmission. We then perform an evaluation of these optimizations, discuss design tradeoffs, and show which scenarios the optimizations perform best in.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
 
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
 
Cataloged from student-submitted PDF version of thesis.
 
Includes bibliographical references (pages 67-68).
 
Date issued
2016
URI
http://hdl.handle.net/1721.1/106384
Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Publisher
Massachusetts Institute of Technology
Keywords
Electrical Engineering and Computer Science.

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