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: Cloud Computing – CLOUD 2019; 12th International C Dilma Da Silva,Qingyang Wang,Liang-Jie Zhang Conference proceedings 2019 Springer Nature

[复制链接]
楼主: HBA1C
发表于 2025-3-28 18:31:12 | 显示全部楼层
0302-9743 onference Federation, SCF 2019, in San Diego, CA, USA, in June 2019...The 24 full papers were carefully reviewed and selected from 53 submissions. CLOUD has been a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of th
发表于 2025-3-28 21:17:02 | 显示全部楼层
Conference proceedings 2019n a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of cloud computing, to identify emerging research topics, and to define the future of cloud computing. All topics regarding cloud computing align with the theme of CLOUD..
发表于 2025-3-29 02:13:38 | 显示全部楼层
发表于 2025-3-29 06:31:46 | 显示全部楼层
发表于 2025-3-29 10:31:12 | 显示全部楼层
发表于 2025-3-29 14:55:53 | 显示全部楼层
Wolfgang Thomala,Karl-Heinz Kloosnts a mathematical model for the optimal number of map tasks in MapReduce resource provisioning. This model is to estimate the optimal number of the mappers based on the resource specification and the size of the dataset.
发表于 2025-3-29 17:37:09 | 显示全部楼层
发表于 2025-3-29 23:01:23 | 显示全部楼层
发表于 2025-3-30 00:47:16 | 显示全部楼层
Toward Accurate and Efficient Emulation of Public Blockchains in the Cloud, be executing real proof-of-work workload along with peer-to-peer network communications and hash-based immutability. In addition, the proposed system employs a preprocessing approach to avoid the per-node computation overhead at runtime and thus achieves practical scales. We have evaluated the syst
发表于 2025-3-30 05:49:14 | 显示全部楼层
An Approach to Failure Prediction in Cluster by Self-updating Cause-and-Effect Graph,veness of our approach and compare our approach to other approaches using the same logs. The result shows that our approach outperforms other approaches with the best precision and recall rate reaching 89% and 85%, respectively.
 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, 2025-8-15 05:27
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