Special Issue on Artificial Intelligence Meeting Green Edge-Cloud Computing
摘要截稿:
全文截稿: 2024-07-15
影响因子: 2.816
期刊难度:
CCF分类: C类
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:信息系统 - 3区
• 小类 : 工程:电子与电气 - 3区
• 小类 : 电信学 - 3区
Overview
Edge-Cloud Computing (ECC) is an emerging distributed paradigm to implement edge offloading, in which complex tasks are migrated from IoT devices to edge-cloud servers. In particular, Green Edge-Cloud Computing (GECC) is a novel concept focused on the core problem of energy management in the whole architecture, that is closely related to task dispatch, resource scheduling, network communication and so on. It is obvious that GECC holds great promise in energy-sensitive domains, such as smart grid, Internet of vehicles, healthcare. With the great development of intelligent algorithms, AI is a powerful analysis technology that is well applied to dealing with the energy management in GECC. It is efficient to utilize deep learning to implement the task allocation of edge servers and reduce the energy consumption of the whole system.
------------
Technical scope of this special issue includes, but is not limited to:
------------
Guest editors:
------------
------------
Xiaolong Xu, Ph.D
------------
Nanjing University of Information Science and Technology, Nanjing, China(Edge Intelligence, Big Data, Service Computing)
------------
------------
Zheng Yan, Ph.D
------------
Aalto University, Aalto, Finland(trust, security, privacy, and security-related data analytics)
------------
------------
Ke Yan, Ph.D
------------
Hunan University, Hunan, China(Machine Learning, Cyber Intelligence, Applied Mathematics, Sustainability and Applied Energy)