Edge network softwarization and intelligence: Challenges and opportunities

作     者：Troia, Sebastian Savi, Marco Grasso, Christian Slyne, Frank Ruan, Lihua Seufert, Michael 

作者机构：Politecn Milan Milan Italy Univ Milano Bicocca Milan Italy Univ Catania Catania Italy Trinity Coll Dublin Dublin Ireland Peng Cheng Lab Shenzhen Peoples R China Univ Augsburg Augsburg Germany 

出 版 物：《COMPUTER NETWORKS》 (Comput. Networks)

年 卷 期：2024年第255卷

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：European Union-Next Generation EU Italian National Recovery and Resilience Plan (NRRP) , Mission 4, Component 2, Investment 1.3 [CUP D43C22003080001] European Union (NextGeneration EU) [ECS00000022] 

主　　题：Edge networks Software-defined networking Software-defined wide area network Network softwarization Network function virtualization 5G/6G Artificial intelligence Machine learning 

摘      要：This Editorial provides an overview of the Special Issue Edge Network Softwarization and Intelligence: Challenges and Opportunities (EdgeNetSoft), published in Elsevier s Computer Networks in 2024. We begin by outlining the motivation and context that highlight the significance of this topic, followed by a concise classification and discussion of the articles included in this issue. Finally, we propose potential directions for future research, offering insights into the evolving landscape of edge network softwarization and intelligence.