Results 81 to 90 of about 36,981 (303)
Resource allocation methods for Fog computing systems
, 2022 Fog computing is gaining popularity as a suitable computer paradigm for the Internet of things (IoT). It is a virtualised platform that sits between IoT devices and centralised cloud computing.
Bi, Fan
core
Advanced Materials, EarlyView.This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao +8 more
wiley +1 more source
Adaptive distributed cloud edge collaborative load control strategy for load management
Dianxin kexueTo solve the problem that the controllable load management of multiple controllable load resources requires a lot of computing resources and can not achieve accurate automatic power control, a cloud-edge cooperative load resource allocation strategy for ...
LI Siwei +5 more
doaj +2 more sources
Advanced Materials, EarlyView.We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano +5 more
wiley +1 more source
A Micro-Level Compensation-Based Cost Model for Resource Allocation in a Fog Environment
Sensors, 2019 Fog computing aims to support applications requiring low latency and high scalability by using resources at the edge level. In general, fog computing comprises several autonomous mobile or static devices that share their idle resources to run different ...
Sudheer Kumar Battula +4 more
doaj +1 more source
A scalability analysis of grid allocation mechanisms [PDF]
This article examines the broker's behavior with regard to a varying number of participating nodes and shows that incremental losses have to be accepted in central resource allocation when introducing new nodes.
Streitberger, Werner +2 more
core
DTN routing as a resource allocation problem
, 2007 Routing protocols for disruption-tolerant networks (DTNs) use a variety of mechanisms, including discovering the meeting probabilities among nodes, packet replication, and network coding.
Aruna Balasubramanian +5 more
core +1 more source
Tailoring Phonon‐Driven Responses in α‐MoO3 through Isotopic Enrichment
Advanced Materials, EarlyView.ABSTRACT The implementation of polaritonic materials into nanoscale devices requires selective tuning of parameters to realize desired spectral or thermal responses. One robust material, α‐MoO3, an orthorhombic crystal boasting three distinct phonon dispersions, provides three polaritonic dispersions of hyperbolic phonon polaritons (HPhPs) across the ...
Thiago S. Arnaud +31 more
wiley +1 more source
A Game-Based Computing Resource Allocation Scheme of Edge Server in Vehicular Edge Computing Networks Considering Diverse Task Offloading Modes. [PDF]
Sensors (Basel), 2023 Liu X +5 more
europepmc +1 more source
Advanced Materials Technologies, EarlyView.This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source