9783032076663 - intelligent resource scheduling in end-edge-cloud networks di zhang, weiting; yang, dong; zhang, hongke; shen, xuemin; gao, shuai (13 risultati)
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Hardcover. Condizione: 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 inte…gration 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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Da: California Books, Miami, FL, U.S.A.California Books
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EUR 168,83
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Intelligent Resource Scheduling in End-Edge-Cloud Networks (Wireless Networks)
Zhang, Weiting; Yang, Dong; Gao, Shuai; Zhang, Hongke; Shen, Xuemin
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 149,79
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Buch. Condizione: 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 nov…el 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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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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Hardcover. Condizione: 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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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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EUR 143,04
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Hardcover. Condizione: Brand New. 180 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 149,79
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Buch. Condizione: 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 th…ey 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.
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Hardcover. Condizione: 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 inte…gration 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.
Intelligent Resource Scheduling in End-Edge-Cloud Networks
Zhang, Weiting; Yang, Dong; Gao, Shuai; Zhang, Hongke; Shen, Xuemin
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Da: moluna, Greven, , Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt.
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 162,70
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Hardcover. Condizione: 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 inte…gration 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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Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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EUR 208,30
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Condizione: New. Print on Demand.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 149,79
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Buch. Condizione: 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 p…resent 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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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
