Live Migration Timing Optimization for VMware Environments using Machine Learning Techniques

Elsaid, Mohamed Esam; Abbas, Hazem M.; Meinel, Christoph

doi:10.5220/0009397300910102

Cited by 8 publications

(11 citation statements)

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“…Live migration has three different types; Pre-copy, Post-copy and Hybridcopy [16]. As discussed in [16], Pre-copy Live migration is the commonly used type due to its robustness against VMs crash during the migration. So, Precopy migration is used by almost all hypervisors in the market; VMware ESXi, Microsoft Hyper-V, Xen and KVM.…”

Section: Introductionmentioning

confidence: 99%

“…In [15], we proposed a machine learning based cost prediction technique for live migration in VMware environments and in [16], we have proposed a novel timing optimization algorithm for VMs live migration that is based on [15] and on using datacenter network utilization prediction technique [16]. In this paper.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper. we integrate the algorithm proposed in [16] as a plug-in with VMware vSphere UI that helps the IT admins for VMware clusters to predict live migration cost and to get a recommendation for the optimal timing to run live migration for the specified VM. For integration with VMware vSphere, JAVA, HTML, VMware PowerCLI and Python tools are used.…”

Section: Introductionmentioning

confidence: 99%

“…In Sect. 3, we present the timing optimization algorithm proposed in [16] to be integrated with VMware vSphere. In Sect.…”

Section: Introductionmentioning

confidence: 99%

“…As proposed in [16], live migration timing optimization depends on two main techniques; the first one is the cost prediction for live migration of the VMs [15], and the second approach is the datacenter network utilization prediction [16]. In this section, we present in depth the technical details of live migration configurations and virtual networking in VMware as a required background to show how live migration can impact the LAN or WAN scale networks throughput.…”

Section: Introductionmentioning

confidence: 99%

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Live Migration Timing Optimization Integration with VMware Environments

Elsaid

Sameh

Abbas

et al. 2021

Communications in Computer and Information Science

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Live migration is an essential feature in virtual infrastructure and cloud computing datacenters. Using live migration, virtual machines can be online migrated from a physical machine to another with negligible service interruption. Load balance, power saving, dynamic resource allocation, and high availability algorithms in virtual data-centers and cloud computing environments are dependent on live migration. Live migration process has six phases that result in live migration overhead. Currently, virtual datacenters admins run live migrations without an idea about the migration cost prediction and without recommendations about the optimal timing for initiating a VM live migration especially for large memory VMs or for concurrently multiple VMs migration. Without cost prediction and timing optimization, live migration might face longer duration, network bottlenecks and migration failure in some cases. The previously proposed timing optimization approach is based on using machine learning for live migration cost prediction and the network utilization predict ion of the cluster. In this paper, we show how to integrate our machine learning based timing optimization algorithm with VMware vSphere. This integration deployment proves the practicality of the proposed algorithm by presenting the building blocks of the tools and backend scripts that should run to implement this timing optimization feature. The paper shows also how the IT admins can make use of this novel cost prediction and timing optimization option as an integrated plug-in within VMware vSphere UI to be notified with the optimal timing recommendation in case of a having live migration request.

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Section: Introductionmentioning

confidence: 99%