Expressing application and network adaptivity : time variations and adaptation paths

Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001.

Bibliographic Details
Main Author: Bauer, Steven J. (Steven Joseph), 1976-
Other Authors: John Wroclawski.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2005
Subjects:
Online Access:http://hdl.handle.net/1721.1/8954
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author Bauer, Steven J. (Steven Joseph), 1976-
author2 John Wroclawski.
author_facet John Wroclawski.
Bauer, Steven J. (Steven Joseph), 1976-
author_sort Bauer, Steven J. (Steven Joseph), 1976-
collection MIT
description Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001.
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spelling mit-1721.1/89542019-04-10T08:36:01Z Expressing application and network adaptivity : time variations and adaptation paths Bauer, Steven J. (Steven Joseph), 1976- John Wroclawski. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2001. Includes bibliographical references (leaves 45-48). Existing wireless networks provide a wide variety of service capabilities. Due to the inherent nature of wireless transmissions, these services are often characterized by high error rates, variable bandwidths and delays, and unpredictable interruptions. Users and applications are somewhat adaptive in their ability to handle these variable service conditions. However applications are not completely flexible nor does the user perceived quality vary in uniform fashion with the changes in network service. By characterizing flexibility, network service variations and application behaviors can be correlated to improve the QoS provided. To this end, this thesis argues that two new concepts, adaptation paths and time constraints, are important. Adaptation paths specify the ways in which network services and traffic can or do change with time. Time constraints capture aspects of QoS requirements related to time. In particular, two time constraints are introduced. First, a Discernible Service Time (DST) captures the duration for which a level of service must or will be provided before it is changed. Second, Interrupt Time (IT) captures durations for which a particular service may be interrupted for whatever reason. To demonstrate the utility of theses constructs this thesis provides a number of examples for how these extensions can be employed in wireless networks to improve QoS. by Steven J. Bauer. S.M. 2005-08-23T16:38:01Z 2005-08-23T16:38:01Z 2000 2001 Thesis http://hdl.handle.net/1721.1/8954 48995449 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 48 leaves 3970675 bytes 3970433 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Bauer, Steven J. (Steven Joseph), 1976-
Expressing application and network adaptivity : time variations and adaptation paths
title Expressing application and network adaptivity : time variations and adaptation paths
title_full Expressing application and network adaptivity : time variations and adaptation paths
title_fullStr Expressing application and network adaptivity : time variations and adaptation paths
title_full_unstemmed Expressing application and network adaptivity : time variations and adaptation paths
title_short Expressing application and network adaptivity : time variations and adaptation paths
title_sort expressing application and network adaptivity time variations and adaptation paths
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/8954
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