Results 11 to 20 of about 320,500 (329)

Multi video stream collaborative adaptive offloading scheme based on equilibrium game theory [PDF]

open access: yesScientific Reports
Massive video stream transmission and analysis require a large amount of bandwidth and computing resources, which poses a serious challenge to the current video stream offloading scheme based on mobile edge computing (MEC).
Shijun Yuan
doaj   +2 more sources

Edge Computing-Enabled Smart Agriculture: Technical Architectures, Practical Evolution, and Bottleneck Breakthroughs [PDF]

open access: yesSensors
As the global digital transformation of agriculture accelerates, the widespread deployment of farming equipment has triggered an exponential surge in agricultural production data.
Ran Gong   +3 more
doaj   +2 more sources

Soft Computing Approaches on the Bandwidth Problem [PDF]

open access: yesInformatica, 2013
The Matrix Bandwidth Minimization Problem (MBMP) seeks for a simultaneous reordering of the rows and the columns of a square matrix such that the nonzero entries are collected within a band of small width close to the main diagonal. The MBMP is a NP-complete problem, with applications in many scientific domains, linear systems, artificial intelligence,
Czibula, Gabriela   +3 more
openaire   +2 more sources

Evaluation of an Adaptive Multimedia Streaming in Mobile Cloud Computing for Slow-Speed Networks

open access: yesAfrican Scientific Reports, 2023
Multimedia cloud (MC) is an aspect of cloud computing that facilitates the effective use of multimedia services by end users in the context of cloud infrastructures.
Oluwafolake Ojo   +3 more
doaj   +1 more source

Cloud‐edge collaboration based peer to peer services redirection strategy for passive optical network

open access: yesIET Communications, 2022
With the increasing number of fibre access users, P2P file sharing download traffic has gradually become one of the enormous bandwidth consumptions for the access network.
Yongli Tang   +4 more
doaj   +1 more source

An incentive mechanism with bandwidth allocation for federated learning

open access: yes物联网学报, 2022
Federated learning (FL) is an emerging machine learning paradigm that can make full use of crowd sourced mobile resources for training on decentralized data.However, it is challenging to deploy FL over a wireless network because of the limited bandwidth ...
Yingyun GUO   +4 more
doaj   +2 more sources

Kubernetes Resource Scheduling Strategy for 5G Edge Computing [PDF]

open access: yesJisuanji gongcheng, 2021
Container cloud is a key supporting technology for 5G edge computing,but edge computing faces great resource pressure imposed by the large bandwidth,low latency,and massive connections of 5G.The scheduler of container cloud,Kubernetes,only collects ...
KONG Dejin, YAO Xiaoling
doaj   +1 more source

qCon: QoS-Aware Network Resource Management for Fog Computing

open access: yesSensors, 2018
Fog computing is a new computing paradigm that employs computation and network resources at the edge of a network to build small clouds, which perform as small data centers.
Cheol-Ho Hong   +3 more
doaj   +1 more source

Asynchronous Hierarchical Federated Learning Based on Bandwidth Allocation and Client Scheduling

open access: yesApplied Sciences, 2023
Federated learning (FL) offers a promising solution in edge computing to overcome bandwidth limitations and privacy concerns associated with traditional cloud-based training.
Jian Yang   +4 more
doaj   +1 more source

Computing the Bandwidth of Interval Graphs [PDF]

open access: yesSIAM Journal on Discrete Mathematics, 1990
In this note, an $O ( | V |k )$ algorithm is described for determining whether an interval graph on $| V |$ vertices has a bandwidth less than or equal to a given integer k. While the algorithm is not the first to resolve this problem, it does admit a shorter proof of its correctness than a previous algorithm of the same complexity due to Kratsch ...
Daniel J. Kleitman, Rakesh V. Vohra
openaire   +1 more source

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