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Real-time resource monitoring approach for detection of hotspot for virtual machine migration

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Abstract

Cloud computing is a new business model that provides facility to avail computing power on demand anytime, anywhere. It is highly elastic and can grow or shrink dynamically according to client need. Virtual machine migration (VMM) plays very important role to provide the power of elasticity to cloud environment. VMM generates considerable amount of overhead and also degrades overall performance of cloud environment. So it becomes very important to decide when to migrate and when not. In this paper, we present challenges and short comings in existing virtual machine migration approaches. Most of them monitor the resources at the hypervisor level. To overcome these short comings we have introduced real time resource monitoring (RTRM) model for selection of the hotspot host and when virtual machine migration should take place. Our result shows significant improvement in the hotspot detection as compared to primitive techniques.

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Authors and Affiliations

  1. Applied Science Department (Computer Applications), I. K. Gujral Punjab Technical University, Punjab, India

    Yashveer Yadav

  2. Department of Computer Science and Engineering, NITTTR, Chandigarh, India

    C. Rama Krishna

Authors
  1. Yashveer Yadav
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  2. C. Rama Krishna
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Correspondence to Yashveer Yadav.

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Yadav, Y., Rama Krishna, C. Real-time resource monitoring approach for detection of hotspot for virtual machine migration. Int. j. inf. tecnol. 11, 639–646 (2019). https://doi.org/10.1007/s41870-018-0221-1

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  • DOI: https://doi.org/10.1007/s41870-018-0221-1

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