找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Algorithms and Architectures for Parallel Processing; 20th International C Meikang Qiu Conference proceedings 2020 Springer Nature Switzerl

[复制链接]
楼主: AMUSE
发表于 2025-3-30 09:59:00 | 显示全部楼层
发表于 2025-3-30 12:49:32 | 显示全部楼层
发表于 2025-3-30 17:04:24 | 显示全部楼层
QoS-Aware and Fault-Tolerant Replica Placementnt network systems with high Quality of Service (.) guarantee. In this paper, an optimal replica placement problem is formulated in terms of minimizing the replica placement cost subject to both . and fault-tolerant constraints. Based on the generalized graph model, the optimal replica placement pro
发表于 2025-3-30 21:38:16 | 显示全部楼层
发表于 2025-3-31 03:19:10 | 显示全部楼层
发表于 2025-3-31 08:10:04 | 显示全部楼层
Edge-Assisted Federated Learning: An Empirical Study from Software Decomposition Perspectivethe computing ability of the terminal device, the training efficiency becomes an issue when training some complex deep neural network models. On the other hand, edges, the nearby stationary devices with higher computational capacity, might serve as a help. This paper presents the design of a compone
发表于 2025-3-31 11:36:26 | 显示全部楼层
A Dynamic Partitioning Framework for Edge-Assisted Cloud Computingen dedicated to algorithms and optimizations in the cloud-edge data cache and computation offloading schemes, while there is a blank in practical implementation to facilitate such a paradigm. In this work, we proposed a component-based framework that facilitates dynamic partitioning of a software pr
发表于 2025-3-31 14:29:17 | 显示全部楼层
Deep Reinforcement Learning for Intelligent Migration of Fog Services in Smart Citiesd high quality of service (QoS) requirements. However, the mobility of end users in smart city systems can result in considerable network performance and QoS degradation, hence interrupting fog services provisioning. . is considered an effective solution to avoid service interruption and ensure serv
发表于 2025-3-31 19:18:36 | 显示全部楼层
发表于 2025-3-31 23:12:10 | 显示全部楼层
Fast Segmentation-Based Object Tracking Model for Autonomous Vehicles achieved through single vehicle sensors, such as a camera or LiDAR. Consider the low cost and wide application of optical cameras, a simple image segmentation-based on-road object tracking model is proposed. Different from the detection-based tracking with bounding box, our model improves tracking
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 吾爱论文网 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
QQ|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-7-30 08:56
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表