[EAN: 9781288326679], New book, [PU: Biblioscholar, United States], Language: English . Brand New Book ***** Print on Demand *****.While the current routing and congestion control algorit… Más…
[EAN: 9781288326679], New book, [PU: Biblioscholar, United States], Language: English . Brand New Book ***** Print on Demand *****.While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithms may not be sufficient for military networks where a certain level of quality of service (QoS) needs to be achieved to complete a mission. Current networking technology limits a network s ability to adapt to changes and interactions in the network, often resulting in sub-optimal performance. This research investigates the use of queue size predictions to create a network controller to optimize computer networks. These queue size predictions are made possible through the use of Kalman filters to detect network congestion. The premise is that intelligent agents can use such predictions to form context-aware, cognitive processes for managing communication in mobile networks. The network controller designed and implement in this thesis will take in the current and predicted network conditions and make intelligent choices to optimize the network.<
AbeBooks.com
The Book Depository, London, United Kingdom [54837791] [Rating: 5 (of 5)] NEW BOOK. Gastos de envío: EUR 0.56 Details...
(*) Libro agotado significa que este título no está disponible por el momento en alguna de las plataformas asociadas que buscamos.
Paperback, [PU: Biblioscholar], While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithm… Más…
Paperback, [PU: Biblioscholar], While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithms may not be sufficient for military networks where a certain level of quality of service (QoS) needs to be achieved to complete a mission. Current networking technology limits a network's ability to adapt to changes and interactions in the network, often resulting in sub-optimal performance. This research investigates the use of queue size predictions to create a network controller to optimize computer networks. These queue size predictions are made possible through the use of Kalman filters to detect network congestion. The premise is that intelligent agents can use such predictions to form context-aware, cognitive processes for managing communication in mobile networks. The network controller designed and implement in this thesis will take in the current and predicted network conditions and make intelligent choices to optimize the network., Teaching Resources & Education, Teaching Resources & Education<
BookDepository.com
Gastos de envío:Versandkostenfrei. (EUR 0.00) Details...
(*) Libro agotado significa que este título no está disponible por el momento en alguna de las plataformas asociadas que buscamos.
While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithms may not be sufficient for mili… Más…
While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithms may not be sufficient for military networks where a certain level of quality of service (QoS) needs to be achieved to complete a mission. Current networking technology limits a network's ability to adapt to changes and interactions in the network, often resulting in sub-optimal performance. This research investigates the use of queue size predictions to create a network controller to optimize computer networks. These queue size predictions are made possible through the use of Kalman filters to detect network congestion. The premise is that intelligent agents can use such predictions to form context-aware, cognitive processes for managing communication in mobile networks. The network controller designed and implement in this thesis will take in the current and predicted network conditions and make intelligent choices to optimize the network. Books List_Books<
Indigo.ca
new in stock. Gastos de envío:zzgl. Versandkosten., más gastos de envío Details...
(*) Libro agotado significa que este título no está disponible por el momento en alguna de las plataformas asociadas que buscamos.
[EAN: 9781288326679], New book, [PU: Biblioscholar], New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000
AbeBooks.com
Books2Anywhere, Fairford, GLOS, United Kingdom [190245] [Rating: 5 (of 5)] NEW BOOK. Gastos de envío: EUR 11.13 Details...
(*) Libro agotado significa que este título no está disponible por el momento en alguna de las plataformas asociadas que buscamos.
[EAN: 9781288326679], New book, [PU: Biblioscholar, United States], Language: English . Brand New Book ***** Print on Demand *****.While the current routing and congestion control algorit… Más…
[EAN: 9781288326679], New book, [PU: Biblioscholar, United States], Language: English . Brand New Book ***** Print on Demand *****.While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithms may not be sufficient for military networks where a certain level of quality of service (QoS) needs to be achieved to complete a mission. Current networking technology limits a network s ability to adapt to changes and interactions in the network, often resulting in sub-optimal performance. This research investigates the use of queue size predictions to create a network controller to optimize computer networks. These queue size predictions are made possible through the use of Kalman filters to detect network congestion. The premise is that intelligent agents can use such predictions to form context-aware, cognitive processes for managing communication in mobile networks. The network controller designed and implement in this thesis will take in the current and predicted network conditions and make intelligent choices to optimize the network.<
- NEW BOOK. Gastos de envío: EUR 0.56 The Book Depository, London, United Kingdom [54837791] [Rating: 5 (of 5)]
Paperback, [PU: Biblioscholar], While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithm… Más…
Paperback, [PU: Biblioscholar], While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithms may not be sufficient for military networks where a certain level of quality of service (QoS) needs to be achieved to complete a mission. Current networking technology limits a network's ability to adapt to changes and interactions in the network, often resulting in sub-optimal performance. This research investigates the use of queue size predictions to create a network controller to optimize computer networks. These queue size predictions are made possible through the use of Kalman filters to detect network congestion. The premise is that intelligent agents can use such predictions to form context-aware, cognitive processes for managing communication in mobile networks. The network controller designed and implement in this thesis will take in the current and predicted network conditions and make intelligent choices to optimize the network., Teaching Resources & Education, Teaching Resources & Education<
While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithms may not be sufficient for mili… Más…
While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithms may not be sufficient for military networks where a certain level of quality of service (QoS) needs to be achieved to complete a mission. Current networking technology limits a network's ability to adapt to changes and interactions in the network, often resulting in sub-optimal performance. This research investigates the use of queue size predictions to create a network controller to optimize computer networks. These queue size predictions are made possible through the use of Kalman filters to detect network congestion. The premise is that intelligent agents can use such predictions to form context-aware, cognitive processes for managing communication in mobile networks. The network controller designed and implement in this thesis will take in the current and predicted network conditions and make intelligent choices to optimize the network. Books List_Books<
new in stock. Gastos de envío:zzgl. Versandkosten., más gastos de envío
[EAN: 9781288326679], New book, [PU: Biblioscholar], New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000
- NEW BOOK. Gastos de envío: EUR 11.13 Books2Anywhere, Fairford, GLOS, United Kingdom [190245] [Rating: 5 (of 5)]
1Dado que algunas plataformas no nos comunican las condiciones de envío y éstas pueden depender del país de entrega, del precio de compra, del peso y tamaño del artículo, de una posible membresía a la plataforma, de una entrega directa por parte de la plataforma o a través de un tercero (Marketplace), etc., es posible que los gastos de envío indicados por eurolibro/terralibro no concuerden con los de la plataforma ofertante.
While the current routing and congestion control algorithms in use today are often sufficient for networks with relatively static topology, these algorithms may not be sufficient for military networks where a certain level of quality of service (QoS) needs to be achieved to complete a mission. Current networking technology limits a network's ability to adapt to changes and interactions in the network, often resulting in sub-optimal performance. This research investigates the use of queue size predictions to create a network controller to optimize computer networks. These queue size predictions are made possible through the use of Kalman filters to detect network congestion. The premise is that intelligent agents can use such predictions to form context-aware, cognitive processes for managing communication in mobile networks. The network controller designed and implement in this thesis will take in the current and predicted network conditions and make intelligent choices to optimize the network.
Detalles del libro - Adaptive Quality Of Service Engine With Dynamic Queue Control
EAN (ISBN-13): 9781288326679 ISBN (ISBN-10): 128832667X Tapa blanda Año de publicación: 11 Editorial: BiblioScholar Core >1
Libro en la base de datos desde 2014-10-09T06:35:22-05:00 (Mexico City) Página de detalles modificada por última vez el 2022-05-20T13:27:30-05:00 (Mexico City) ISBN/EAN: 128832667X
ISBN - escritura alterna: 1-288-32667-X, 978-1-288-32667-9 Mode alterno de escritura y términos de búsqueda relacionados: Autor del libro: james Título del libro: engine engine
