An evaluation of the network efficiency required in order to support multicast and synchronous distributed learning network traffic

Approved for public release, distribution unlimited === The United States military has had and will continue to have a legacy of comparatively short tours and long deployments in locations where the availability of all forms of education and training may be limited. This not only limits the potentia...

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Main Author: Quick, Christopher Verald
Other Authors: Xie, Geoffrey
Published: Monterey, California. Naval Postgraduate School 2012
Online Access:http://hdl.handle.net/10945/6283
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spelling ndltd-nps.edu-oai-calhoun.nps.edu-10945-62832015-03-14T15:55:45Z An evaluation of the network efficiency required in order to support multicast and synchronous distributed learning network traffic Quick, Christopher Verald Xie, Geoffrey Gibson, John H. Computer Science Approved for public release, distribution unlimited The United States military has had and will continue to have a legacy of comparatively short tours and long deployments in locations where the availability of all forms of education and training may be limited. This not only limits the potential of military members but can have a detrimental effect on moral and retention. Distributed Learning is one way to combat this ever increasing dilemma. With the proliferation of computer technology and Internet access throughout the Department of Defense (DoD), Distributed Learning can put education and training at the finger tips of most military members. It can even bring education to the field limited only by the networks, data delivery methods, and bandwidth provided military units. This thesis examines the network requirements needed to provide a good quality of service (QoS) to sailors and solders, and provides guidelines for implementing Distributed Learning over multicast on DoD networks. Multicast is a very efficient method of delivering data to multiple recipients and is the underlying technology which can allow interactive Distributed Learning. It is therefore the primary focus of this thesis. 2012-03-14T17:48:22Z 2012-03-14T17:48:22Z 2003-09 Thesis http://hdl.handle.net/10945/6283 This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. Monterey, California. Naval Postgraduate School
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description Approved for public release, distribution unlimited === The United States military has had and will continue to have a legacy of comparatively short tours and long deployments in locations where the availability of all forms of education and training may be limited. This not only limits the potential of military members but can have a detrimental effect on moral and retention. Distributed Learning is one way to combat this ever increasing dilemma. With the proliferation of computer technology and Internet access throughout the Department of Defense (DoD), Distributed Learning can put education and training at the finger tips of most military members. It can even bring education to the field limited only by the networks, data delivery methods, and bandwidth provided military units. This thesis examines the network requirements needed to provide a good quality of service (QoS) to sailors and solders, and provides guidelines for implementing Distributed Learning over multicast on DoD networks. Multicast is a very efficient method of delivering data to multiple recipients and is the underlying technology which can allow interactive Distributed Learning. It is therefore the primary focus of this thesis.
author2 Xie, Geoffrey
author_facet Xie, Geoffrey
Quick, Christopher Verald
author Quick, Christopher Verald
spellingShingle Quick, Christopher Verald
An evaluation of the network efficiency required in order to support multicast and synchronous distributed learning network traffic
author_sort Quick, Christopher Verald
title An evaluation of the network efficiency required in order to support multicast and synchronous distributed learning network traffic
title_short An evaluation of the network efficiency required in order to support multicast and synchronous distributed learning network traffic
title_full An evaluation of the network efficiency required in order to support multicast and synchronous distributed learning network traffic
title_fullStr An evaluation of the network efficiency required in order to support multicast and synchronous distributed learning network traffic
title_full_unstemmed An evaluation of the network efficiency required in order to support multicast and synchronous distributed learning network traffic
title_sort evaluation of the network efficiency required in order to support multicast and synchronous distributed learning network traffic
publisher Monterey, California. Naval Postgraduate School
publishDate 2012
url http://hdl.handle.net/10945/6283
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