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Research Article | Open Access |

Qos-based Computing Resources Partitioning between Virtual Machines in the Cloud Architecture

Author 1: Evgeny Nikulchev Author 2: Evgeniy Pluzhnik Author 3: Oleg Lukyanchikov Author 4: Dmitry Biryukov Author 5: Elena Andrianova
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 7, No. 11 · Published 2016

DOI: https://doi.org/10.14569/IJACSA.2016.071121

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Abstract

Cloud services have been used very widely, but configuration of the parameters, including the efficient allocation of resources, is an important objective for the system architect. The article is devoted to solving the problem of choosing the architecture of computers based on simulation and developed program for monitoring computing resources. Techniques were developed aimed at providing the required quality of service and efficient use of resources. The article describes the monitoring program of computing resources and time efficiency of the target application functions. On the basis of this application the technique is shown and described in the experiment, designed to ensure the requirements for quality of service, by isolating one process from the others on different virtual machines inside the hypervisor.

Keywords

cloud computing architecture simulation software for monitoring computer resources

How to Cite this Article

Nikulchev, E., Pluzhnik, E., Lukyanchikov, O., Biryukov, D., & Andrianova, E. (2016). Qos-based Computing Resources Partitioning between Virtual Machines in the Cloud Architecture. International Journal of Advanced Computer Science and Applications, 7(11). https://doi.org/10.14569/IJACSA.2016.071121

Nikulchev, Evgeny, et al.. "Qos-based Computing Resources Partitioning between Virtual Machines in the Cloud Architecture." International Journal of Advanced Computer Science and Applications, vol. 7, no. 11, 2016, https://doi.org/10.14569/IJACSA.2016.071121.

@article{Nikulchev2016,
  title     = {Qos-based Computing Resources Partitioning between Virtual Machines in the Cloud Architecture},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {7},
  number    = {11},
  year      = {2016},
  publisher = {The Science and Information Organization},
  author    = {Evgeny Nikulchev and Evgeniy Pluzhnik and Oleg Lukyanchikov and Dmitry Biryukov and Elena Andrianova},
  doi       = {10.14569/IJACSA.2016.071121},
  url       = {https://doi.org/10.14569/IJACSA.2016.071121}
}

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