نتایج جستجو برای: multi access edge computing
تعداد نتایج: 1213772 فیلتر نتایج به سال:
In the post-cloud era, edge computing is a new paradigm with data processed at of network, which can process close to end-user in real time and offload cloud task intelligently. Meanwhile, decentralization, tamper-proof anonymity blockchain technology provide trusted environment for computing. However, it does raise considerable concerns security, privacy, fault-tolerance so on. For example, id...
Fifth-Generation (5G) mobile cellular networks provide a promising platform for new, innovative and diverse IoT applications, such as ultra-reliable low latency communication, real-time dynamic data processing, intensive computation, massive device connectivity. End-to-End (E2E) network slicing candidates present approach to resource allocation distribution that permit operators flexibly scalab...
Edge computing is able to provide proximity solutions for the future wireless network accommodate different types of devices with various service demands. Meanwhile, in order ubiquitous connectivities massive over a relatively large area, densely deploying remote radio head (RRH) considered as cost-efficient solution. In this work, we consider vertical and heterogeneous multi-access edge system...
Multi-access edge computing (MEC), based on hierarchical cloud computing, offers abundant resources to support the next-generation Internet of Things network. However, several critical challenges, including offloading methods, network dynamics, resource diversity, and server decision-making, remain open. Regarding offloading, most conventional approaches have neglected or oversimplified multi-M...
The rapid growth of Internet Things (IoT) devices and the emergence multiple edge applications have resulted in an explosive data traffic at networks. Computation offloading services Multi-access computing (MEC) enabled networks to offer potentials a better Quality Service (QoS) than traditional They are expected reduce propagation delay enhance computational capability for delay-sensitive task...
Wider coverage and a better solution to latency reduction in 5G necessitate its combination with multi-access edge computing technology. Decentralized deep learning (DDL), such as federated swarm learning, promising privacy-preserving data processing for millions of smart devices leverages distributed multilayer neural networks within the networking local clients, without disclosing original tr...
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