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
  • [21] VM migration algorithm for the balance of energy resource across data centers in cloud computing
    Da S.
    Xiong F.
    Jingjing Z.
    Junchang W.
    Lin Z.
    Song D.
    Lei Q.
    Journal of China Universities of Posts and Telecommunications, 2019, 26 (05): : 22 - 32
  • [22] Energy Efficient VM Scheduling for Cloud Data Centers: Exact allocation and migration algorithms
    Ghribi, Chaima
    Hadji, Makhlouf
    Zeghlache, Djamal
    PROCEEDINGS OF THE 2013 13TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING (CCGRID 2013), 2013, : 671 - 678
  • [23] Energy-Aware Live VM Migration Using Ballooning in Cloud Data Center
    Gupta, Neha
    Gupta, Kamali
    Qahtani, Abdulrahman M. M.
    Gupta, Deepali
    Alharithi, Fahd S. S.
    Singh, Aman
    Goyal, Nitin
    ELECTRONICS, 2022, 11 (23)
  • [24] Optimal VM Migration Planning for Data Centers
    Liu, Jiaqiang
    Su, Li
    Jin, Yuchen
    Li, Yong
    Jin, Depeng
    Zeng, Lieguang
    2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014), 2014, : 2332 - 2337
  • [25] Survey on Secure Live Virtual Machine (VM) Migration in Cloud
    Ahmad, Naveed
    Kanwal, Ayesha
    Shibli, Muhammad Awais
    2013 2ND NATIONAL CONFERENCE ON INFORMATION ASSURANCE (NCIA), 2013, : 101 - 106
  • [26] Secure Live Migration of VM's in Cloud Computing: A Survey
    Upadhyay, Ankit
    Lakkadwala, Prashant
    2014 3RD INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (ICRITO) (TRENDS AND FUTURE DIRECTIONS), 2014,
  • [27] SnapMig: Accelerating VM Live Storage Migration by Leveraging the Existing VM Snapshots in the Cloud
    Yang, Yaodong
    Mao, Bo
    Jiang, Hong
    Yang, Yuekun
    Luo, Hao
    Wu, Suzhen
    IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2018, 29 (06) : 1416 - 1427
  • [28] An Intelligent Anomaly Detection and Reasoning Scheme for VM Live Migration via Cloud Data Mining
    Zhang, Qiannan
    Wu, Yafei
    Huang, Tian
    Zhu, Yongxin
    2013 IEEE 25TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI), 2013, : 412 - 419
  • [29] Energy and carbon-aware initial VM placement in geographically distributed cloud data centers
    Khodayarseresht, Ehsan
    Shameli-Sendi, Alireza
    Fournier, Quentin
    Dagenais, Michel
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2023, 39
  • [30] Hierarchical VM Management Architecture for Cloud Data Centers
    Farahnakian, Fahimeh
    Liljeberg, Pasi
    Pahikkala, Tapio
    Plosila, Juha
    Tenhunen, Hannu
    2014 IEEE 6TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGY AND SCIENCE (CLOUDCOM), 2014, : 306 - 311