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 and Service Science; 7th International Co Donald Ferguson,Víctor Méndez Muñoz,Claus Pahl Conference proceedings 2018 Spring

[复制链接]
查看: 16717|回复: 57
发表于 2025-3-21 16:58:50 | 显示全部楼层 |阅读模式
书目名称Cloud Computing and Service Science
副标题7th International Co
编辑Donald Ferguson,Víctor Méndez Muñoz,Claus Pahl
视频videohttp://file.papertrans.cn/229/228436/228436.mp4
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Cloud Computing and Service Science; 7th International Co Donald Ferguson,Víctor Méndez Muñoz,Claus Pahl Conference proceedings 2018 Spring
描述This book constitutes extended, revised and selected papers from the 7.th. I.th. International Conference on Cloud Computing and Service Science, CLOSER 2017, held in Porto, Portugal, in April 2017. The 16 papers presented in this volume were carefully reviewed and selected from a total of 123 submissions. CLOSER 2017 focused on the emerging area of Cloud Computing, inspired by some latest advances that concern the infrastructure, operations and available services throughout the global network.
出版日期Conference proceedings 2018
关键词cloud computing; computer architecture; computer systems; internet; resource allocation; resource managem
版次1
doihttps://doi.org/10.1007/978-3-319-94959-8
isbn_softcover978-3-319-94958-1
isbn_ebook978-3-319-94959-8Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

书目名称Cloud Computing and Service Science影响因子(影响力)




书目名称Cloud Computing and Service Science影响因子(影响力)学科排名




书目名称Cloud Computing and Service Science网络公开度




书目名称Cloud Computing and Service Science网络公开度学科排名




书目名称Cloud Computing and Service Science被引频次




书目名称Cloud Computing and Service Science被引频次学科排名




书目名称Cloud Computing and Service Science年度引用




书目名称Cloud Computing and Service Science年度引用学科排名




书目名称Cloud Computing and Service Science读者反馈




书目名称Cloud Computing and Service Science读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 23:35:10 | 显示全部楼层
Conclusion: The Relevance of Comparative Lawa stable QoS performance in the post-deployment phase by helping decide on actions to be taken as well as providing support to achieve such actions. Additionally, we demonstrate the migration capability of MyMinder by proposing an Automated Triggering Algorithm (ATA), which uses existing Docker Swarm technology for application migration.
发表于 2025-3-22 00:47:46 | 显示全部楼层
https://doi.org/10.1007/978-3-030-13570-6long, we consider the test execution time as a secondary challenge. In this paper, we propose an approach that meets such challenges. Experimental results show that the proposed approach successfully reproduces elasticity-related bugs that face the listed challenges while reducing the execution time.
发表于 2025-3-22 07:25:07 | 显示全部楼层
Using Docker Swarm with a User-Centric Decision-Making Framework for Cloud Application Migration,a stable QoS performance in the post-deployment phase by helping decide on actions to be taken as well as providing support to achieve such actions. Additionally, we demonstrate the migration capability of MyMinder by proposing an Automated Triggering Algorithm (ATA), which uses existing Docker Swarm technology for application migration.
发表于 2025-3-22 12:26:26 | 显示全部楼层
发表于 2025-3-22 16:43:14 | 显示全部楼层
1865-0929 ence, CLOSER 2017, held in Porto, Portugal, in April 2017. The 16 papers presented in this volume were carefully reviewed and selected from a total of 123 submissions. CLOSER 2017 focused on the emerging area of Cloud Computing, inspired by some latest advances that concern the infrastructure, opera
发表于 2025-3-22 20:24:07 | 显示全部楼层
Tristan Collier,Victoria Rizzardits a cost-efficient method for processing geospatial data, optimizing the number of data nodes in a SpatialHadoop cluster according to dataset size. With this, it is possible to analyse and compare the costs for this type of application on public cloud providers.
发表于 2025-3-22 22:39:18 | 显示全部楼层
Cost Analysis for Big Geospatial Data Processing in Public Cloud Providers,ts a cost-efficient method for processing geospatial data, optimizing the number of data nodes in a SpatialHadoop cluster according to dataset size. With this, it is possible to analyse and compare the costs for this type of application on public cloud providers.
发表于 2025-3-23 05:08:53 | 显示全部楼层
Component Migration in a Trans-cloud Environment,oud tool, we propose an algorithm for the migration of cloud applications’ components between different providers, possibly changing their service levels between IaaS and PaaS. We present an implementation of our proposed solution, and illustrate it with a case study and experimental results.
发表于 2025-3-23 07:55:28 | 显示全部楼层
 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, 2025-8-27 17:35
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