9783032076663 - intelligent resource scheduling in end-edge-cloud networks (wireless networks) de zhang, weiting; yang, dong; gao, shuai; zhang, hongke; shen, xuemin (13 resultados)
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 156,72
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Hardcover. Condición: new. Hardcover. This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and they present a novel communication and computation integ…ration architecture for end-edge-cloud networks. Under the considered end-edge-cloud network architecture, the authors then propose different resource scheduling schemes based on centralized and distributed deep reinforcement learning methods to improve overall resource utilization for guaranteeing the diversified quality of service (QoS) requirements from different applications. The proposed architecture and schemes can not only be adopted in future end-edge-cloud networks to efficiently manage the multi-dimensional resources in real time, but also provide useful guidelines for multi-dimensional resource scheduling scheme designing and resource utilization enhancement in complex end-edge-cloud networks with diversified data services and applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Intelligent Resource Scheduling in End-Edge-Cloud Networks (Wireless Networks)
Zhang, Weiting; Yang, Dong; Gao, Shuai; Zhang, Hongke; Shen, Xuemin
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 169,66
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Condición: New.
Intelligent Resource Scheduling in End-Edge-Cloud Networks (Wireless Networks)
Zhang, Weiting; Yang, Dong; Gao, Shuai; Zhang, Hongke; Shen, Xuemin
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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EUR 201,12
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Condición: New.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 149,79
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and they present a nove…l communication and computation integration architecture for end-edge-cloud networks. Under the considered end-edge-cloud network architecture, the authors then propose different resource scheduling schemes based on centralized and distributed deep reinforcement learning methods to improve overall resource utilization for guaranteeing the diversified quality of service (QoS) requirements from different applications. The proposed architecture and schemes can not only be adopted in future end-edge-cloud networks to efficiently manage the multi-dimensional resources in real time, but also provide useful guidelines for multi-dimensional resource scheduling scheme designing and resource utilization enhancement in complex end-edge-cloud networks with diversified data services and applications.
Intelligent Resource Scheduling in End-edge-cloud Networks
Zhang, Weiting/ Yang, Dong/ Zhang, Hongke/ Shen, Xuemin/ Gao, Shuai
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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EUR 220,11
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Hardcover. Condición: Brand New. 180 pages. 9.25x6.10x9.21 inches. In Stock.
Intelligent Resource Scheduling in End-edge-cloud Networks
Zhang, Weiting/ Yang, Dong/ Zhang, Hongke/ Shen, Xuemin/ Gao, Shuai
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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EUR 143,16
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Hardcover. Condición: Brand New. 180 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 143,00
Envío por EUR 32,08Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and they present a novel communication and computation integ…ration architecture for end-edge-cloud networks. Under the considered end-edge-cloud network architecture, the authors then propose different resource scheduling schemes based on centralized and distributed deep reinforcement learning methods to improve overall resource utilization for guaranteeing the diversified quality of service (QoS) requirements from different applications. The proposed architecture and schemes can not only be adopted in future end-edge-cloud networks to efficiently manage the multi-dimensional resources in real time, but also provide useful guidelines for multi-dimensional resource scheduling scheme designing and resource utilization enhancement in complex end-edge-cloud networks with diversified data services and applications. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 149,79
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and the…y present a novel communication and computation integration architecture for end-edge-cloud networks. Under the considered end-edge-cloud network architecture, the authors then propose different resource scheduling schemes based on centralized and distributed deep reinforcement learning methods to improve overall resource utilization for guaranteeing the diversified quality of service (QoS) requirements from different applications. The proposed architecture and schemes can not only be adopted in future end-edge-cloud networks to efficiently manage the multi-dimensional resources in real time, but also provide useful guidelines for multi-dimensional resource scheduling scheme designing and resource utilization enhancement in complex end-edge-cloud networks with diversified data services and applications. 145 pp. Englisch.
Intelligent Resource Scheduling in End-Edge-Cloud Networks
Zhang, Weiting; Yang, Dong; Gao, Shuai; Zhang, Hongke; Shen, Xuemin
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Librería: moluna, Greven, , Alemaniamoluna
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EUR 127,40
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 162,84
Envío por EUR 42,86Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and they present a novel communication and computation integ…ration architecture for end-edge-cloud networks. Under the considered end-edge-cloud network architecture, the authors then propose different resource scheduling schemes based on centralized and distributed deep reinforcement learning methods to improve overall resource utilization for guaranteeing the diversified quality of service (QoS) requirements from different applications. The proposed architecture and schemes can not only be adopted in future end-edge-cloud networks to efficiently manage the multi-dimensional resources in real time, but also provide useful guidelines for multi-dimensional resource scheduling scheme designing and resource utilization enhancement in complex end-edge-cloud networks with diversified data services and applications. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Intelligent Resource Scheduling in End-Edge-Cloud Networks (Wireless Networks)
Zhang, Weiting; Yang, Dong; Gao, Shuai; Zhang, Hongke; Shen, Xuemin
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Librería: Majestic Books, Hounslow, , Reino UnidoMajestic Books
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EUR 209,33
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Condición: New. Print on Demand.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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EUR 149,79
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book investigates technologies that enable more powerful resources and improve resource utilization for end-edge-cloud networks. The authors cover tools such as federated learning (FL) and real-time inference in industrial IoT and they pr…esent a novel communication and computation integration architecture for end-edge-cloud networks. Under the considered end-edge-cloud network architecture, the authors then propose different resource scheduling schemes based on centralized and distributed deep reinforcement learning methods to improve overall resource utilization for guaranteeing the diversified quality of service (QoS) requirements from different applications. The proposed architecture and schemes can not only be adopted in future end-edge-cloud networks to efficiently manage the multi-dimensional resources in real time, but also provide useful guidelines for multi-dimensional resource scheduling scheme designing and resource utilization enhancement in complex end-edge-cloud networks with diversified data services and applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 160 pp. Englisch.
Intelligent Resource Scheduling in End-Edge-Cloud Networks (Wireless Networks)
Zhang, Weiting; Yang, Dong; Gao, Shuai; Zhang, Hongke; Shen, Xuemin
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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EUR 208,27
Envío por EUR 9,95Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 4 disponibles
Condición: New. PRINT ON DEMAND.
