Web8 de jun. de 2024 · In "Reinforcement Learning Based Optimal Computing and Caching in Mobile Edge Network," Qian et al. present a hierarchical reinforcement learning (RL) algorithm for jointly pushing and caching ... Web12 de abr. de 2024 · In this article, we present DeePOP, a model for predicting popularity that makes novel use of time-varying hierarchical interactions. To begin, in order to organically characterize the relationship between apps and the influence they have on one another, we propose using the Hierarchical Interaction Graph, which is first studied in …
A hierarchical edge cloud architecture for mobile computing
Web7 de set. de 2024 · Mobile Edge Computing (MEC) has attracted much attention from the global researchers because it supports the task migration from the cloud server to the … Web1 de jan. de 2004 · 4.. Location update generation––a cost-based methodIn this section, we will introduce a method for deriving the optimal distance threshold for the distance-based update method such that the total location management cost can be minimized. In the distance-based method, when a mobile client x moves from its previously residing cell, … billy toddler boots
[1905.06641] Client-Edge-Cloud Hierarchical Federated Learning …
Web1 de abr. de 2024 · With the rapid growth of Internet traffic and smart mobile terminals, ultradense networks are adopted as the key technology of the fifth generation to enhance … Web1 de jan. de 2004 · In the existing commercial cellular mobile computing systems, a two-tier architecture is adopted. However, the two-tier architecture is not scalable. In the … Web30 de dez. de 2015 · Cloud computing is an Internet-based computing pattern through which shared resources are provided to devices on-demand. It is an emerging but … billy tn