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IPAM: An Improved Penalty Aware VM Migration Technique

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Computational Science and Its Applications – ICCSA 2022 (ICCSA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13375))

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Abstract

In today’s era, more and more businesses are moving on the cloud. The customer needs to be assured of the quality-of-service they desire from the cloud service provider. Service level agreement (SLA) is a significant medium for building this confidence. The services are often running on virtual machines (VMs) provided by service provider. Various cloud management activities require transferring of VMs among the servers. They make use of live migration to achieve these objectives. With multiple VMs being migrated, it is essential to assign the available bandwidth among the VMs to minimize the penalty incurred due to SLA violation during migration. However, depending upon the assigned transfer rates, some VMs in the group might complete the migration process earlier than the others. In this paper, we propose an algorithm and a controller to assign freed bandwidth to the remaining VMs in the group. With extensive simulations, it is found that the penalty, migration time, and downtime for VMs is significantly reduced compared to the state-of-the-art approaches.

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Acknowledgment

This work was supported by the Ministry of Electronics and Information Technology (MEITY), Government of India under Visvesvaraya PhD Scheme for Electronics and IT (Grant no. PhD-MLA-4(20)/2015–16).

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Correspondence to Garima Singh .

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Singh, G., Tailwal, R., Kathayat, M., Singh, A.K. (2022). IPAM: An Improved Penalty Aware VM Migration Technique. In: Gervasi, O., Murgante, B., Hendrix, E.M.T., Taniar, D., Apduhan, B.O. (eds) Computational Science and Its Applications – ICCSA 2022. ICCSA 2022. Lecture Notes in Computer Science, vol 13375. Springer, Cham. https://doi.org/10.1007/978-3-031-10522-7_23

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  • DOI: https://doi.org/10.1007/978-3-031-10522-7_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-10521-0

  • Online ISBN: 978-3-031-10522-7

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