On demand clock synchronization for live VM migration in distributed cloud data centers

被引:13
|
作者
Patel, Yashwant Singh [1 ]
Page, Aditi [2 ]
Nagdev, Manvi [3 ]
Choubey, Anurag [1 ]
Misra, Rajiv [1 ]
Das, Sajal K. [4 ]
机构
[1] Indian Inst Technol Patna, Dept Comp Sci & Engn, 513 Adv Lab,Block-3, Patna 801106, Bihar, India
[2] Univ Florida, Dept Comp & Informat Sci Engn, Gainesville, FL 32611 USA
[3] North Carolina State Univ, Dept Comp Sci, Raleigh, NC 27695 USA
[4] Missouri Univ Sci & Technol, Dept Comp Sci, Rolla, MO 65409 USA
关键词
Cloud data centers; Live VM migration; Data center Time Protocol (DTP); Precision Time Protocol (PTP); Data center networks;
D O I
10.1016/j.jpdc.2019.11.012
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:15 / 31
页数:17
相关论文
共 50 条
  • [41] The cloud of geographically distributed data centers
    Fedchenkov, Petr
    Shevel, Andrey
    Khoruzhnikov, Sergey
    Sadov, Oleg
    Lazo, Oleg
    Samokhin, Nikitta
    [J]. 23RD INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2018), 2019, 214
  • [42] Live Migration for Multiple Correlated Virtual Machines in Cloud-Based Data Centers
    Sun, Gang
    Liao, Dan
    Zhao, Dongcheng
    Xu, Zichuan
    Yu, Hongfang
    [J]. IEEE TRANSACTIONS ON SERVICES COMPUTING, 2018, 11 (02) : 279 - 291
  • [43] A Service Sustainable Live Migration Strategy for Multiple Virtual Machines in Cloud Data Centers
    Satpathy, Anurag
    Sahoo, Manmath Narayan
    Mishra, Ashutosh
    Majhi, Banshidhar
    Rodrigues, Joel J. P. C.
    Bakshi, Sambit
    [J]. BIG DATA RESEARCH, 2021, 25
  • [44] Distributed Orchestration in Cloud Data Centers
    McCormick, Bill
    Halabian, Hassan
    Fung, Carol J.
    [J]. 2019 IFIP/IEEE SYMPOSIUM ON INTEGRATED NETWORK AND SERVICE MANAGEMENT (IM), 2019, : 346 - 352
  • [45] Speeding Up VM Image Distribution for Cloud Data Centers
    Lee, Choonhwa
    Lee, Hyungseock
    Kim, Eunsam
    [J]. ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2016, 16 (04) : 9 - 14
  • [46] Live Consolidation for Data Centers in Cloud Environment
    Pham, Chuan
    Tran, Nguyen H.
    Do, Cuong T.
    Hong, Choong Seon
    [J]. ACM IMCOM 2015, PROCEEDINGS, 2015,
  • [47] A Taxonomy of Live Virtual Machine (VM) Migration Mechanisms in Cloud Computing Environment
    Acharya, Shreenath
    D'Mello, Demian Antony
    [J]. 2013 INTERNATIONAL CONFERENCE ON GREEN COMPUTING, COMMUNICATION AND CONSERVATION OF ENERGY (ICGCE), 2013, : 809 - 815
  • [48] Compensating balancing demand by spatial load migration - The case of geographically distributed data centers
    Thimmel, Markus
    Fridgen, Gilbert
    Keller, Robert
    Roevekamp, Patrick
    [J]. ENERGY POLICY, 2019, 132 : 1130 - 1142
  • [49] IOFollow: Improving the performance of VM live storage migration with IO following in the cloud
    Mao, Bo
    Yang, Yaodong
    Wu, Suzhen
    Jiang, Hong
    Li, Kuan-Ching
    [J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2019, 91 : 167 - 176
  • [50] From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework
    Osanaiye, Opeyemi
    Chen, Shuo
    Yan, Zheng
    Lu, Rongxing
    Choo, Kim-Kwang Raymond
    Dlodlo, Mqhele
    [J]. IEEE ACCESS, 2017, 5 : 8284 - 8300