[EAN: 9781288326679], New book, [PU: Biblioscholar, United States], Language: English . Brand New Book ***** Print on Demand *****.While the current routing and congestion control algorit… Altro …
[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.<
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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… Altro …
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<
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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… Altro …
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<
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[EAN: 9781288326679], New book, [PU: Biblioscholar, United States], Language: English . Brand New Book ***** Print on Demand *****.While the current routing and congestion control algorit… Altro …
[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. Costi di spedizione: 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… Altro …
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… Altro …
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<
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[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. Costi di spedizione: EUR 11.13 Books2Anywhere, Fairford, GLOS, United Kingdom [190245] [Rating: 5 (of 5)]
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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.
Informazioni dettagliate del libro - Adaptive Quality Of Service Engine With Dynamic Queue Control
EAN (ISBN-13): 9781288326679 ISBN (ISBN-10): 128832667X Copertina flessibile Anno di pubblicazione: 11 Editore: BiblioScholar Core >1
Libro nella banca dati dal 2014-10-09T13:35:22+02:00 (Rome) Pagina di dettaglio ultima modifica in 2022-05-20T20:27:30+02:00 (Rome) ISBN/EAN: 128832667X
ISBN - Stili di scrittura alternativi: 1-288-32667-X, 978-1-288-32667-9 Stili di scrittura alternativi e concetti di ricerca simili: Autore del libro : james Titolo del libro: engine engine
