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International Conference on Remote Engineering and Virtual Instrumentation

REV 2018: Smart Industry & Smart Education pp 701–706Cite as

Ant Colony Algorithm for Building of Virtual Machine Disk Images Within Cloud Systems

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 47))

Abstract

Nowadays, the development of the cloud systems for collective access to virtual working environments, software, virtual stands and laboratories is very actual. Typically, such systems are created based on virtual machines (IaaS – Infrastructure as a Service), which provide remote access to their resources (including access to desktops). In the case of a large number of cloud system users it is necessary to store a large number of virtual machine disk images with various installed software. But it requires significant financial costs, when public cloud providers are used. In this study it is proposed to build disk images automatically and store them for a short time.

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References

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Acknowledgment

The research has been supported by the Russian Foundation for Basic Research (projects 16-07-01004, 16-29-09639, 16-47-560335), and by the President of the Russian Federation within the grant for young scientists and PhD students (SP-2179.2015.5).

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Authors and Affiliations

  1. Orenburg State University, Orenburg, Russia

    Irina Bolodurina, Leonid Legashev, Petr Polezhaev, Alexander Shukhman & Yuri Ushakov

Authors
  1. Irina Bolodurina
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  2. Leonid Legashev
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  3. Petr Polezhaev
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  4. Alexander Shukhman
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  5. Yuri Ushakov
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Corresponding author

Correspondence to Alexander Shukhman .

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Editors and Affiliations

  1. Carinthia University of Applied Sciences, Villach, Austria

    Michael E. Auer

  2. Competence Center Automation Duesseldorf (CCAD), Duesseldorf University of Applied Science, Duesseldorf, Germany

    Reinhard Langmann

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Bolodurina, I., Legashev, L., Polezhaev, P., Shukhman, A., Ushakov, Y. (2019). Ant Colony Algorithm for Building of Virtual Machine Disk Images Within Cloud Systems. In: Auer, M., Langmann, R. (eds) Smart Industry & Smart Education. REV 2018. Lecture Notes in Networks and Systems, vol 47. Springer, Cham. https://doi.org/10.1007/978-3-319-95678-7_77

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