Dynamic Processor Resource Configuration in Virtualized Environments

Jin, Hai; Deng, Li; Wu, Song; Shi, Xuanhua

doi:10.1109/scc.2011.37

Cited by 9 publications

(4 citation statements)

References 17 publications

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“…The use of greedy heuristics in VM-based reconfiguration is addressed in [4,11,17,29]. In the study presented in [11], the VNF reconfiguration problem was addressed with the aim of minimizing the number of overloaded links and reducing the reconfiguration cost.…”

Section: Related Workmentioning

confidence: 99%

Virtual network function reconfiguration in 5G networks: An optimization perspective

Biallach,

Bouhtou,

Kumbria

et al. 2024

Networks

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One of the major challenges in managing 5G networks is the reconfiguration of network slices. The task covers in particular reconfiguration and relocation of virtual network functions (VNFs) so as to match the service requirements of the slices and the availability of resources of the data centers. In this article, we study in deep the problem of optimal VNFs reconfiguration analyzing a number of its variants. We define two exact, compact integer linear programming formulations of the VNFs reconfiguration problem, and derive two approximate solution algorithms, one of them based on the column generation method. Numerical tests and comparisons illustrate the performance of the algorithms and the quality of the provided solutions.

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Section: Related Workmentioning

confidence: 99%

Virtual network function reconfiguration in 5G networks: An optimization perspective

Biallach,

Bouhtou,

Kumbria

et al. 2024

Networks

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Section: Parallel Vm Migrationmentioning

confidence: 99%

“…Parallel migration has been proven as an effective way to shorten the total time if there are multiple VM instances to be migrated (Jin, 2011). The experiment results in (Jin, 2011) show that parallelizing the migration of two VMs with different source nodes and different target nodes would shorten the total migration time significantly. However, if we simultaneously move multiple VMs from the same server, a large proportion of the network I/O will be occupied, which may affect the other VMs significantly due to the lack of the resources.…”

Section: Parallel Vm Migrationmentioning

confidence: 99%

A Virtual Machine Placement and Reconfiguration Framework for Cloud Computing Platforms

Chen

Qiao

Wei

et al. 2014

International Journal of Adaptive, Resilient and Autonomic Systems

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As a rising application paradigm and technology, cloud computing can leverage the efficient pooling of on-demand, self-managed virtual infrastructure. How to maximize the resource utilization and how to reduce the cost of configuration are essential issues in cloud computing. In this paper, the authors propose a framework to achieve these objectives by optimizing VM placement and deciding when and how to perform the VM reconfigurations. The authors leverage the vector arithmetic to model the objective of balancing the multiple resource utilization and propose an optimization method for the static VM placement. Then the authors propose a two-level runtime reconfiguration policy, including the local adjustment and the parallel migration, to minimize the reconfiguration cost. Finally, the authors implement a prototype to validate and evaluate the proposed mechanism with a set of preliminary experiments, which shows that our work can maximize the resource utilization while effectively reducing the cost of the runtime reconfiguration.

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“…The research done in [5] proposed a dynamic processor resource configuration to load balance the virtual environment. It introduced a system called VScheduler.…”

Section: Related Workmentioning

confidence: 99%

Application of Computational Intelligence to Virtualized Data Center Management

Assaf¹,

Badr²,

Farag³

2012

IJCA

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Server Virtualization is a growing trend in almost all the critical IT infrastructures all over the world. Apart from the cost savings involved with such approach, it is even useful in increasing the infrastructure operational efficiency as it speeds up the operation, enhances the services availability and minimizes the downtimes. But it is actually worthless if the available resources are not well managed, that's why data center management is really crucial to ensure that the virtualization applied is beneficial. In this paper, we propose a new representation for the problem of finding the best allocation for the virtual machines on the physical hosts. We also compare the performance of four types of Genetic algorithms that were used to solve this problem. These are: Steady State (ssGA), Generational (genGA), Cellular (cGA) and distributed (dGA).

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Dynamic Processor Resource Configuration in Virtualized Environments

Cited by 9 publications

References 17 publications

Virtual network function reconfiguration in 5G networks: An optimization perspective

Virtual network function reconfiguration in 5G networks: An optimization perspective

A Virtual Machine Placement and Reconfiguration Framework for Cloud Computing Platforms

Application of Computational Intelligence to Virtualized Data Center Management

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