Mobile edge computing: A survey on architecture and computation offloading
Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …
goes hand-in-hand with evolution of new mobile applications. However, running …
Mobile cloud computing: A survey, state of art and future directions
In the recent years, cloud computing frameworks such as Amazon Web Services, Google
AppEngine and Windows Azure have become increasingly popular among IT organizations …
AppEngine and Windows Azure have become increasingly popular among IT organizations …
Coedge: Cooperative dnn inference with adaptive workload partitioning over heterogeneous edge devices
Recent advances in artificial intelligence have driven increasing intelligent applications at
the network edge, such as smart home, smart factory, and smart city. To deploy …
the network edge, such as smart home, smart factory, and smart city. To deploy …
Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms
Computation offloading at mobile edge computing (MEC) servers can mitigate the resource
limitation and reduce the communication latency for mobile devices. Thereby, in this study …
limitation and reduce the communication latency for mobile devices. Thereby, in this study …
Joint task offloading and resource allocation for multi-server mobile-edge computing networks
Mobile-edge computing (MEC) is an emerging paradigm that provides a capillary
distribution of cloud computing capabilities to the edge of the wireless access network …
distribution of cloud computing capabilities to the edge of the wireless access network …
Deep reinforcement learning based computation offloading and resource allocation for MEC
Mobile edge computing (MEC) has the potential to enable computation-intensive
applications in 5G networks. MEC can extend the computational capacity at the edge of …
applications in 5G networks. MEC can extend the computational capacity at the edge of …
Deep reinforcement learning for dynamic computation offloading and resource allocation in cache-assisted mobile edge computing systems
Mobile Edge Computing (MEC) is one of the most promising techniques for next-generation
wireless communication systems. In this paper, we study the problem of dynamic caching …
wireless communication systems. In this paper, we study the problem of dynamic caching …
Efficient multi-user computation offloading for mobile-edge cloud computing
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at
the edge of pervasive radio access networks in close proximity to mobile users. In this paper …
the edge of pervasive radio access networks in close proximity to mobile users. In this paper …
Partial computation offloading and adaptive task scheduling for 5G-enabled vehicular networks
A variety of novel mobile applications are developed to attract the interests of potential users
in the emerging 5G-enabled vehicular networks. Although computation offloading and task …
in the emerging 5G-enabled vehicular networks. Although computation offloading and task …
Joint computation offloading and interference management in wireless cellular networks with mobile edge computing
Mobile edge computing (MEC) has attracted great interests as a promising approach to
augment computational capabilities of mobile devices. An important issue in the MEC …
augment computational capabilities of mobile devices. An important issue in the MEC …