Virtual Machine Scaling

Virtual Machine Scaling is a method within the domain of virtual machine monitors that enables the dynamic adjustment of computational resources allocated to a virtual machine in response to workload demands, distinguishing itself by preserving performance isolation and system efficiency across virtualized environments.

71

Publications

2.3K

Citations

231

Authors

100

Institutions

Publications per year

2017–2026

13

Authors

231

  1. XZ
    Xiaoyun Zhu

    Hewlett-Packard (United States), United States

    3 publications · 109 citations

    3

    h-index

  2. AJ
    Anshul Jindal

    Technical University of Munich, Germany

    3 publications · 61 citations

    3

    h-index

  3. MG
    Michael Gerndt

    Technical University of Munich, Germany

    3 publications · 61 citations

    3

    h-index

  4. VP
    Vladimir Podolskiy

    Technical University of Munich, Germany

    3 publications · 61 citations

    3

    h-index

  5. KV
    Kashi Venkatesh Vishwanath

    University of California San Diego, United States

    2 publications · 141 citations

    2

    h-index

1–5 of 231

Venues

  1. Future Generation Computer Systems

    FGCS · 3 publications · 76 citations

    3

    h-index

  2. IEEE Transactions on Cloud Computing

    2 publications · 67 citations

    2

    h-index

  3. Procedia Computer Science

    2 publications · 68 citations

    2

    h-index

  4. ACM SIGOPS Operating Systems Review

    2 publications · 99 citations

    2

    h-index

  5. Computers & Electrical Engineering

    2 publications · 32 citations

    2

    h-index

1–5