.png){kind=icon}
返回
On demand clock synchronization for live VM migration in distributed cloud data centers
.png){kind=icon}
OA
AI
DOI：10.1016/j.jpdc.2019.11.012.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Live migration of virtual machines (VMs) has become an extremely powerful tool for cloud data center management and provides significant benefits of seamless VM mobility among physical hosts within a data center or across multiple data centers without interrupting the running service. However, with all the enhanced techniques that ensure a smooth and flexible migration, the down-time of any VM during a live migration could still be in a range of few milliseconds to seconds. But many time-sensitive applications and services cannot afford this extended down-time, and their clocks must be perfectly synchronized to ensure no loss of events or information. In such a virtualized environment, clock synchronization with minute precision and error boundedness are one of the most complex and tedious tasks for system performance. In this paper, we propose enhanced DTP and wireless PTP based clock synchronization algorithms to achieve high precision at intra and inter-cloud data center networks. We thoroughly analyze the performance of the proposed algorithms using different clock measurements. Through simulation and real-time experiments, we also show the effect of various performance parameters on the data center networking architectures. (C) 2019 Elsevier Inc. All rights reserved.
Keyword:
Cloud data centers
Live VM migration
Data center Time Protocol (DTP)
Precision Time Protocol (PTP)
Data center networks
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
4
论文数:
3.8K
被引数:
4.8K
机构
查看更多机构
引用论文
In-silico evaluation of Oroxylum indicum vent compounds in the plausible treatment and prevention of nasopharyngeal cancer基于计算机的Oroxylum indicum vent化合物在鼻咽癌可能的治疗和预防中的评估OAAI
.png){kind=icon}
OAAI分享收藏Process state synchronization-based application execution management for mobile edge/cloud computing
PREAI
分享收藏 没有更多内容