Results 51 to 60 of about 26,223 (296)
Mobile edge computing (MEC) emerges recently as a promising solution to relieve resource-limited mobile devices from computation-intensive tasks, which enables devices to offload workloads to nearby MEC servers and improve the quality of computation ...
Zhao Chen, Xiaodong Wang
doaj +1 more source
Joint computation offloading and resource allocation in vehicular edge computing networks
Vehicular Edge Computing (VEC) is a promising technique to accommodate the computation-intensive and delay-sensitive tasks through offloading the tasks to the RoadSide-Unit (RSU) equipped with edge computing servers or neighboring vehicles. Nevertheless,
Shuang Liu +3 more
doaj +1 more source
Hyperprofile-based Computation Offloading for Mobile Edge Networks
In recent studies, researchers have developed various computation offloading frameworks for bringing cloud services closer to the user via edge networks.
Calyam, Prasad +5 more
core +1 more source
Task Offloading and Resource Scheduling in Hybrid Edge-Cloud Networks
Computation-intensive mobile applications are explosively increasing and cause computation overload for smart mobile devices (SMDs). With the assistance of mobile edge computing and mobile cloud computing, SMDs can rent computation resources and offload ...
Qi Zhang +3 more
doaj +1 more source
Vertical Self‐Rectifying Memristive Arrays for Page‐Wise Parallel Logic and Arithmetic Processing
This study proposes a page‐wise logic‐in‐memory architecture realized in a 3D vertical resistvie random‐access memory array of self‐rectifying memristors. By introducing intra‐ and inter‐page logic primitives, the system enables Boolean and arithmetic operations to be executed directly within the memory.
Kunhee Son +12 more
wiley +1 more source
Survey on computation offloading in mobile edge computing
Computation offloading in mobile edge computing would transfer the resource intensive computational tasks to the edge network.It can not only solve the shortage of mobile user equipment in resource storage,computation performance and energy efficiency ...
Renchao XIE +4 more
doaj +2 more sources
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett +5 more
wiley +1 more source
Data‐Driven Multi‐Objective Optimization of Large‐Diameter Si Floating‐Zone Crystal Growth
This study presents a surrogate‐based Multi‐Objective Optimization framework for Floating Zone silicon crystal growth. An ensemble of Neural Networks is trained on simulation data and combined with Genetic Algorithms to explore trade‐offs in process parameters.
Lucas Vieira +3 more
wiley +1 more source
Code offloading in opportunistic computing [PDF]
With the advent of cloud computing, applications are no longer tied to a single device, but they can be migrated to a high-performance machine located in a distant data center. The key advantage is the enhancement of performance and consequently, the users experience.
Ferrari, Alan +2 more
openaire +2 more sources
Connected and Automated Vehicle (CAV) is a transformative technology that has great potential to improve urban traffic and driving safety. Electric Vehicle (EV) is becoming the key subject of next-generation CAVs by virtue of its advantages in energy ...
Bing Lin +5 more
doaj +1 more source

