Virtual Machine Performance Optimization

Virtual Machine Performance Optimization is a methodological framework within virtualization technologies that systematically enhances computational efficiency, resource utilization, and execution speed of virtual machines by minimizing performance overheads inherent in virtual machine monitors through hardware-assisted virtualization techniques and fine-tuned resource allocation strategies.

169

Publications

7K

Citations

547

Authors

199

Institutions

Publications per year

2017–2026

30

Authors

547

  1. YD
    Yaozu Dong

    Shanghai Jiao Tong University, China

    10 publications · 510 citations

    10

    h-index

  2. MA
    Matthew Arnold

    IBM (United States), United States

    7 publications · 795 citations

    7

    h-index

  3. HG
    Haibing Guan

    Shanghai Jiao Tong University, China

    6 publications · 387 citations

    6

    h-index

  4. MH
    Michael Hind

    IBM (United States), United States

    5 publications · 734 citations

    5

    h-index

  5. HJ
    Hai Jin

    Huazhong University of Science and Technology, China

    4 publications · 126 citations

    4

    h-index

1–5 of 547

Venues

  1. ACM SIGPLAN Notices

    6 publications · 482 citations

    6

    h-index

  2. Future Generation Computer Systems

    FGCS · 4 publications · 250 citations

    4

    h-index

  3. The Journal of Supercomputing

    3 publications · 46 citations

    3

    h-index

  4. Journal of Parallel and Distributed Computing

    3 publications · 253 citations

    3

    h-index

  5. ACM SIGOPS Operating Systems Review

    3 publications · 542 citations

    3

    h-index

1–5