Multi-cloud Cost Optimization

Multi-Cloud Cost Optimization is a strategic framework in cloud migration economics that enables organizations to minimize expenditure and maximize resource efficiency across multiple cloud service providers through workload placement, resource scaling, and usage monitoring strategies tailored to heterogeneous cloud environments.

16

Publications

472

Citations

60

Authors

28

Institutions

Publications per year

2017–2026

10

Authors

60

  1. ZL
    Zhen Lyu

    University of Missouri, United States

    1 publications · 11 citations

    1

    h-index

  2. JL
    Jose Luis Lucas Simarro

    Universidad Complutense de Madrid, Spain

    1 publications · 114 citations

    1

    h-index

  3. LS
    Lifeng Sun

    Tsinghua University, China

    1 publications · 13 citations

    1

    h-index

  4. AP
    Ashish Pandey

    University of Missouri, United States

    1 publications · 11 citations

    1

    h-index

  5. SL
    Sachin Lodha

    Tata Consultancy Services (India), India

    1 publications · 23 citations

    1

    h-index

1–5 of 60

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 46 citations

    2

    h-index

  2. The Journal of Supercomputing

    1 publications · 24 citations

    1

    h-index

  3. 1

    h-index

  4. World Wide Web

    1 publications · 18 citations

    1

    h-index

  5. IEEE Transactions on Emerging Topics in Computing

    ITETBT · 1 publications · 62 citations

    1

    h-index

1–5