Improved Mathematical Model for Virtual Machine Placement Optimization with Resource Constraints

Authors

  • Darshan Shah Computer Science Department, Reva University, Bangalore, India. Author
  • Dr. M. Vinayakmurthi Computer Science Department, Reva University, Bangalore, India. Author
  • Dr. Anand Kumar M.S. Engineering College, Bangalore, India. Author

DOI:

https://doi.org/10.61841/n34x3w69

Keywords:

Virtual Machine Placement, Mathematical Model, Multi-dimensional resource optimization, Cloud data center

Abstract

Virtual Machine placement problem is a hard-combinatorial optimization problem in cloud data center. In this paper we have described problem in detail with its importance and challenges. We have also proved that the problem is NP complete when multiple dimensional resources are considered during placement. To optimize such a complex problem, we have developed new MILP mathematical model by including various constrains. An empirical evaluation of this model has surpassed existing state-of-the-art MILP and branch and bound models and shown evaluation on different data sets have shown zero percentage gaps for more than 70% instances.

 

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References

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Published

31.08.2020

How to Cite

Shah, D., Vinayakmurthi, M., & Kumar, A. (2020). Improved Mathematical Model for Virtual Machine Placement Optimization with Resource Constraints. International Journal of Psychosocial Rehabilitation, 24(6), 4169-4179. https://doi.org/10.61841/n34x3w69