| 書目名稱 | Dynamic Resource Management in Service-Oriented Core Networks |
| 編輯 | Weihua Zhuang,Kaige Qu |
| 視頻video | http://file.papertrans.cn/284/283738/283738.mp4 |
| 概述 | Presents research on dynamic resource management for network slicing in service-oriented 5G and beyond core networks.Introduces applications of machine learning techniques in dynamic resource manageme |
| 叢書名稱 | Wireless Networks |
| 圖書封面 |  |
| 描述 | This book provides a timely and comprehensive study of dynamic resource management for network slicing in service-oriented fifth-generation (5G) and beyond core networks. This includes the perspective of developing efficient computation resource provisioning and scheduling solutions to guarantee consistent service performance in terms of end-to-end (E2E) data delivery delay.?.Network slicing is enabled by the software defined networking (SDN) and network function virtualization (NFV) paradigms. For a network slice with a target traffic load, the E2E service delivery is enabled by virtual network function (VNF) placement and traffic routing with static resource allocations. When data traffic enters the network, the traffic load is dynamic and can deviate from the target value, potentially leading to QoS performance degradation and network congestion. Data traffic has dynamics in different time granularities. For example, the traffic statistics (e.g., mean and variance) can be non-stationary and experience significant changes in a coarse time granularity, which are usually predictable. Within a long time duration with stationary traffic statistics, there are traffic dynamics in small |
| 出版日期 | Book 2021 |
| 關(guān)鍵詞 | 5G Networks; Dynamic Resource Management; Network Slicing; Software-Defined Networks (SDN); Network Func |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-87136-9 |
| isbn_softcover | 978-3-030-87138-3 |
| isbn_ebook | 978-3-030-87136-9Series ISSN 2366-1186 Series E-ISSN 2366-1445 |
| issn_series | 2366-1186 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
|Archiver|手機版|小黑屋|
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