Online dynamic multi-user computation offloading and resource allocation for HAP-assisted MEC: an energy efficient approach

• Published in: Journal of cloud computing : advances, systems and applications Vol. 13; no. 1; pp. 92 - 12
• Main Authors: Chen, Sihan, Jiang, Wanchun
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.12.2024; Springer Nature B.V; SpringerOpen
• Subjects: Algorithms; Artificial intelligence; Cloud computing; Computation offloading; Computer Communication Networks; Computer Science; Computer System Implementation; Computer Systems Organization and Communication Networks; Edge computing; Energy consumption; Energy efficiency; HAP; Information Systems Applications (incl.Internet); MEC; Mobile computing; Mobile Edge Computing Meets AI; Online computation offloading; Optimization; Optimization techniques; Randomness; Resource allocation; Software Engineering/Programming and Operating Systems; Special Purpose and Application-Based Systems; Wireless communications; Online computation offloading; MEC; Energy efficiency; HAP; Resource allocation

Nowadays, the paradigm of mobile computing is evolving from a centralized cloud model towards Mobile Edge Computing (MEC). In regions without ground communication infrastructure, incorporating aerial edge computing nodes into network emerges as an efficient approach to deliver Artificial Intelligenc...