Results 61 to 70 of about 36,405 (319)
P4CEP: Towards In-Network Complex Event Processing
, 2018 In-network computing using programmable networking hardware is a strong trend in networking that promises to reduce latency and consumption of server resources through offloading to network elements (programmable switches and smart NICs).
Bhowmik, Sukanya +5 more
core +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Sensors, 2022 Due to the limited computing capacity of onboard devices, they can no longer meet a large number of computing requirements. Therefore, mobile edge computing (MEC) provides more computing and storage capabilities for vehicles.
Xianhao Shen +2 more
doaj +1 more source
Socially Trusted Collaborative Edge Computing in Ultra Dense Networks
, 2017 Small cell base stations (SBSs) endowed with cloud-like computing capabilities are considered as a key enabler of edge computing (EC), which provides ultra-low latency and location-awareness for a variety of emerging mobile applications and the Internet ...
Chen, Lixing, Xu, Jie
core +1 more source
Evolution of Physical Intelligence Across Scales
Advanced Intelligent Discovery, EarlyView.By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
Joint Computation Offloading and Prioritized Scheduling in Mobile Edge Computing [PDF]
, 2018 With the rapid development of smart phones, enormous amounts of data are generated and usually require intensive and real-time computation. Nevertheless, quality of service (QoS) is hardly to be met due to the tension between resourcelimited (battery ...
Gao, Lingfang
core +1 more source
Divisible Task Offloading for Multiuser Multiserver Mobile Edge Computing Systems Based on Deep Reinforcement Learning [PDF]
, 2023 Lin Tang, Hang Qin
openalex +1 more source
Advanced Intelligent Systems, EarlyView.This work presents a lightweight Miura‐origami soft knee exoskeleton powered by vacuum actuation and integrated with a multimodal physiological intent‐recognition system, providing real‐time assistance during sit‐to‐stand movement to reduce muscle effort and improve user comfort.
Yuchuan Jia +5 more
wiley +1 more source
Optimizing task offloading and resource allocation in edge-cloud networks: a DRL approach
Journal of Cloud Computing: Advances, Systems and Applications, 2023 Edge-cloud computing is an emerging approach in which tasks are offloaded from mobile devices to edge or cloud servers. However, Task offloading may result in increased energy consumption and delays, and the decision to offload the task is dependent on ...
Ihsan Ullah +3 more
doaj +1 more source
Collaborative Task Offloading and Service Caching Strategy for Mobile Edge Computing
Sensors, 2022 Mobile edge computing (MEC), which sinks the functions of cloud servers, has become an emerging paradigm to solve the contradiction between delay-sensitive tasks and resource-constrained terminals.
Xiang Liu +5 more
doaj +1 more source