Fast adaptive task offloading in edge computing based on meta reinforcement learning
Multi-access edge computing (MEC) aims to extend cloud service to the network edge to
reduce network traffic and service latency. A fundamental problem in MEC is how to …
reduce network traffic and service latency. A fundamental problem in MEC is how to …
Management and orchestration of edge computing for iot: A comprehensive survey
With the development of telecommunication technologies and the proliferation of network
applications in the past decades, the traditional cloud network architecture becomes unable …
applications in the past decades, the traditional cloud network architecture becomes unable …
Ppo2: Location privacy-oriented task offloading to edge computing using reinforcement learning for intelligent autonomous transport systems
AI-empowered 5G/6G networks play a substantial role in taking full advantage of the Internet
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …
of Things (IoT) to perform complex computing by offloading tasks to edge services deployed …
Mobility-aware computational offloading in mobile edge networks: a survey
Technological evolution of mobile devices, such as smart phones, laptops, wearable and
other handheld devices have come up with the emergence of different user applications in …
other handheld devices have come up with the emergence of different user applications in …
Energy-efficient joint task offloading and resource allocation in OFDMA-based collaborative edge computing
Mobile edge computing (MEC) is an emergent architecture, which brings computation and
storage resources to the edge of mobile network and provides rich services and applications …
storage resources to the edge of mobile network and provides rich services and applications …
Reverse auction-based computation offloading and resource allocation in mobile cloud-edge computing
This article proposes a novel Reverse Auction-based Computation Offloading and Resource
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …
Asynchronous deep reinforcement learning for collaborative task computing and on-demand resource allocation in vehicular edge computing
Vehicular Edge Computing (VEC) is enjoying a surge in research interest due to the
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
remarkable potential to reduce response delay and alleviate bandwidth pressure. Facing the …
Dependent task offloading for edge computing based on deep reinforcement learning
Edge computing is an emerging promising computing paradigm that brings computation and
storage resources to the network edge, hence significantly reducing the service latency and …
storage resources to the network edge, hence significantly reducing the service latency and …
A survey of mobility-aware multi-access edge computing: Challenges, use cases and future directions
Many mobile and pervasive applications avail cloud services to reduce overheads in on-
device computation. The performance of these services depends on the available bandwidth …
device computation. The performance of these services depends on the available bandwidth …
Mobility-aware offloading and resource allocation in a MEC-enabled IoT network with energy harvesting
Mobile-edge computing (MEC)-enabled Internet of Things (IoT) networks have been
deemed a promising paradigm to support massive energy-constrained and computation …
deemed a promising paradigm to support massive energy-constrained and computation …