Distributed averaging in dynamic networks
Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2011
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| Online Access: | http://hdl.handle.net/1721.1/62315 |
| _version_ | 1811098304205815808 |
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| author | Rajagopalan, Shreevatsa |
| author2 | Devavrat Shah. |
| author_facet | Devavrat Shah. Rajagopalan, Shreevatsa |
| author_sort | Rajagopalan, Shreevatsa |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010. |
| first_indexed | 2024-09-23T17:12:57Z |
| format | Thesis |
| id | mit-1721.1/62315 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T17:12:57Z |
| publishDate | 2011 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/623152019-04-10T21:38:25Z Distributed averaging in dynamic networks Rajagopalan, Shreevatsa Devavrat Shah. Massachusetts Institute of Technology. Operations Research Center. Massachusetts Institute of Technology. Operations Research Center. Operations Research Center. Thesis (S.M.)--Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2010. 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 (p. 39-40). The question of computing average of numbers present at nodes in a network in a distributed manner using gossip or message-passing algorithms has been of great recent interest across disciplines -- algorithms, control and robotics, estimation, social networks, etc. It has served as a non-trivial, representative model for an important class of questions arising in these disciplines and thus guiding intellectual progress over the past few decades. In most of these applications, there is inherent dynamics present, such as changes in the network topology in terms of communication links, changes in the values of numbers present at nodes, and nodes joining or leaving. The effect of dynamics in terms of communication links on the design and analysis of algorithms for averaging is reasonably well understood, e.g. [14][2][8][4]. However, little is known about the effect of other forms of dynamics. In this thesis, we study the effect of such types of dynamics in the context of maintaining average in the network. Specifically, we design dynamics-aware message-passing or gossip algorithm that maintains good estimate of average in presence of continuous change in numbers at nodes. Clearly, in presence of such dynamics the best one can hope for is a tradeoff between the accuracy of each node's estimate of the average at each time instant and the rate of dynamics. For our algorithm, we characterize this tradeoff and establish it to be near optimal. The dependence of the accuracy of the algorithm on the rate of dynamics as well as on the underlying graph structure is quantified. by Shreevatsa Rajagopalan. S.M. 2011-04-25T14:16:19Z 2011-04-25T14:16:19Z 2010 2010 Thesis http://hdl.handle.net/1721.1/62315 712024265 eng 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 40 p. application/pdf Massachusetts Institute of Technology |
| spellingShingle | Operations Research Center. Rajagopalan, Shreevatsa Distributed averaging in dynamic networks |
| title | Distributed averaging in dynamic networks |
| title_full | Distributed averaging in dynamic networks |
| title_fullStr | Distributed averaging in dynamic networks |
| title_full_unstemmed | Distributed averaging in dynamic networks |
| title_short | Distributed averaging in dynamic networks |
| title_sort | distributed averaging in dynamic networks |
| topic | Operations Research Center. |
| url | http://hdl.handle.net/1721.1/62315 |
| work_keys_str_mv | AT rajagopalanshreevatsa distributedaveragingindynamicnetworks |