On Demand Clock Synchronization for Live VM Migration in Distributed Cloud Data Centers

Abstract

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.

Department(s)

Computer Science

Research Center/Lab(s)

Center for Research in Energy and Environment (CREE)

Second Research Center/Lab

Center for High Performance Computing Research

Third Research Center/Lab

Intelligent Systems Center

Comments

The work of S. K. Das is partially supported by NSF grants CNS-1818942 , CCF-1725755 , and CBET-1609642.

Keywords and Phrases

Cloud data centers; Data center networks; Data center Time Protocol (DTP); Live VM migration; Precision Time Protocol (PTP)

International Standard Serial Number (ISSN)

0743-7315

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2020 Academic Press Inc., All rights reserved.

Publication Date

01 Apr 2020

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