Online learning for offloading and autoscaling in energy harvesting mobile edge computing
Mobile edge computing (also known as fog computing) has recently emerged to enable in-
situ processing of delay-sensitive applications at the edge of mobile networks. Providing grid …
situ processing of delay-sensitive applications at the edge of mobile networks. Providing grid …
Online learning for offloading and autoscaling in renewable-powered mobile edge computing
J Xu, S Ren - 2016 IEEE Global Communications Conference …, 2016 - ieeexplore.ieee.org
Mobile edge computing (aka fog computing) has recently emerged to enable in-situ
processing of delay-sensitive applications at the edge of mobile networks. Providing grid …
processing of delay-sensitive applications at the edge of mobile networks. Providing grid …
Learning-based computation offloading for IoT devices with energy harvesting
Internet of Things (IoT) devices can apply mobile edge computing (MEC) and energy
harvesting (EH) to provide high-level experiences for computational intensive applications …
harvesting (EH) to provide high-level experiences for computational intensive applications …
Dynamic edge computation offloading for Internet of Things with energy harvesting: A learning method
Z Wei, B Zhao, J Su, X Lu - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently emerged as a promising paradigm to meet the
increasing computation demands in Internet of Things (IoT). However, due to the limited …
increasing computation demands in Internet of Things (IoT). However, due to the limited …
Online distributed offloading and computing resource management with energy harvesting for heterogeneous MEC-enabled IoT
With the rapid development and convergence of the mobile Internet and the Internet of
Things (IoT), computing-intensive and delay-sensitive IoT applications (APPs) are …
Things (IoT), computing-intensive and delay-sensitive IoT applications (APPs) are …
Energy harvesting computation offloading game towards minimizing delay for mobile edge computing
M Guo, Q Li, Z Peng, X Liu, D Cui - Computer Networks, 2022 - Elsevier
Mobile edge computing (MEC) has emerged for meeting the ever-increasing computation
demands from mobile applications. Mobile users endowing with computation and energy …
demands from mobile applications. Mobile users endowing with computation and energy …
Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning
Internet of Things (IoT) is considered as the enabling platform for a variety of promising
applications, such as smart transportation and smart city, where massive devices are …
applications, such as smart transportation and smart city, where massive devices are …
Online learning for distributed computation offloading in wireless powered mobile edge computing networks
A novel paradigm named Wireless Powered Mobile Edge Computing (WP-MEC) emerges
recently, which integrates Mobile Edge Computing (MEC) and Wireless Power Transfer …
recently, which integrates Mobile Edge Computing (MEC) and Wireless Power Transfer …
GreenEdge: Joint green energy scheduling and dynamic task offloading in multi-tier edge computing systems
As mobile edge computing (MEC) emerges as a paradigm to meet the ever-increasing
computation demands from real-time Internet of Things (IoT) applications in 5 G era, the …
computation demands from real-time Internet of Things (IoT) applications in 5 G era, the …
Dynamic computation offloading with energy harvesting devices: A hybrid-decision-based deep reinforcement learning approach
Mobile-edge computing (MEC) with energy harvesting (EH) is becoming an emerging
paradigm to improve the computation experience for the Internet-of-Things (IoT) devices. For …
paradigm to improve the computation experience for the Internet-of-Things (IoT) devices. For …