Results 31 to 40 of about 3,699,940 (365)
Bandwidth Selection in Nonparametric Regression with Large Sample Size
In the context of nonparametric regression estimation, the behaviour of kernel methods such as the Nadaraya-Watson or local linear estimators is heavily influenced by the value of the bandwidth parameter, which determines the trade-off between bias and ...
Daniel Barreiro-Ures+2 more
doaj +1 more source
Measurements of Available Bandwidth in Computer Networks [PDF]
Available bandwidth is one the key challenges that is present in every new developed standard in the computer networks. There are many proposed methodologies in the existing research literature for measuring the available bandwidth. In this paper we will present summary of the main contributions in this field, research problems and solutions and we ...
Leonid Djinevski+6 more
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Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions [PDF]
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the network with low latency and high-access bandwidth to support a diverse range of IoT application scenarios. To fully utilize the potential of this computing paradigm,
Mohammad Goudarzi+2 more
semanticscholar +1 more source
Fairness and energy co-aware computation offloading for fog-assisted IoT
As an extension of the cloud computing paradigm, fog computing has attracted wide attention due to its advantages of low energy consumption, short time delay, and high bandwidth saving.
Si-guang CHEN, Zi-hui YOU
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Bandwidth Control in Computer- Generated Holography
The Fourier transform between the time and frequency signals of light enables highly efficient band usage in optical communications. Analogously, the Fourier transform between the wavefield and wavevector distributions in the optical spatial diffraction is useful to understand the bandwidth considered in the diffraction simulations.
Mian Wu+6 more
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Self-Competence Learning for Bandwidth Slicing and Confidential Computing Requirement
This work proposes a Self-Competence Learning bandwidth slicing method (SCL) to determine the quantity and position of each slice’s spectrum resources considering the channel diversity and varying bandwidth requirements.
Yen-Hung Chen
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Federated Learning in Edge Computing: A Systematic Survey
Edge Computing (EC) is a new architecture that extends Cloud Computing (CC) services closer to data sources. EC combined with Deep Learning (DL) is a promising technology and is widely used in several applications.
Haftay Gebreslasie Abreha+2 more
semanticscholar +1 more source
Bandwidth-constrained distributed skyline computation [PDF]
Skyline queries have been studied in centralized systems, but also in distributed environments, such as web information systems and peer-to-peer networks. Most of the existing work focuses on efficient processing of skyline queries that return the exact and complete result set.
Akrivi Vlachou, Kjetil Nørvåg
openaire +2 more sources
An Adaptive Framework for Improving Quality of Service in Industrial Systems
Limited memory bandwidth is considered as the major bottleneck in multimedia cloud computing for more and more virtual machines (VMs) of multimedia processing requiring high memory bandwidth simultaneously.
Gangyong Jia+4 more
doaj +1 more source
Bandwidth Modeling and Estimation in Peer to Peer Networks [PDF]
Recent studies have shown that the majority of today's internet traffic is related to Peer to Peer (P2P) traffic. The study of bandwidth in P2P networks is very important. Because it helps us in more efficient capacity planning and QoS provisioning when we would like to design a large scale computer networks.
arxiv +1 more source