Quantifying the performance impact of overbooking virtualized resources

Hoeflin, David A.; Reeser, Paul

doi:10.1109/icc.2012.6364669

Cited by 14 publications

(7 citation statements)

References 5 publications

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“…There are a few studies [11][12][13] analyzing the overbooking problem in network virtualization. In [11], some users require full availability of the resources, while others can accept limited availability of the resources as long as the service level agreement (SLA) is not violated.…”

Section: Related Workmentioning

confidence: 99%

“…[12] extends [11] by formulating a mixed integer linear programming (MILP) to minimize the virtual network cost, given the diverse degrees of availability of the users. In [13], an analytic model is formulated to quantify the performance impact of overbooking virtualized resources as a function of the relevant environment and usage parameters.…”

Section: Related Workmentioning

confidence: 99%

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Network virtualization with dynamic resource pooling and trading mechanism

Xie

Zhu

Huang

et al. 2014

2014 IEEE Global Communications Conference

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Network virtualization is a promising technology for the next generation network, which is required to offer a more dynamic and flexible network infrastructure. Virtual network embedding plays a vital role in the resource allocation of network virtualization. Current virtual network embedding allocates resources in an exclusive and excessive manner. For example, the whole bandwidth amount of the virtual network's peak traffic demand is allocated to the virtual network with full availability. However, such excessive resource allocation may result in resource under-utilization, leading to high user cost and low carrier revenue. To address this problem, we propose a new dynamic resource pooling and trading mechanism. The proposed mechanism is formulated as a Stackelberg game, using bandwidth as an example of the resources. We compare the user cost and the carrier revenue under the proposed mechanism against those under the exclusive resource allocation schemes. Our results show that under certain conditions, the "win-win" situation, in which the user saves cost and the carrier increases its revenue, exists and the optimal Subgame Perfect Equilibrium (SPE) point can be found.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Network virtualization with dynamic resource pooling and trading mechanism

Xie

Zhu

Huang

et al. 2014

2014 IEEE Global Communications Conference

View full text Add to dashboard Cite

show abstract

“…Resources overbooking can make cloud services more profitable for CSPs, overlaying requested virtual resources onto physical resources at a higher ratio than 1:1 [29]. Online formulations of the provider-oriented VMP considering overbooking include particular considerations to efficiently attend customers' requirements, enforcing SLAs.…”

Section: B Overbookingmentioning

confidence: 99%

Dynamic Environments for Virtual Machine Placement considering Elasticity and Overbooking

Ortigoza¹,

Lopez-Pires²,

Baran³

2016

Preprint

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Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large number of possible optimization criteria and different formulations that could be studied. Considering the on-demand model of cloud computing, the VMP problem should be solved dynamically to efficiently attend typical workload of modern applications. This work proposes a taxonomy in order to understand possible challenges for Cloud Service Providers (CSPs) in dynamic environments, based on the most relevant dynamic parameters studied so far in the VMP literature. Based on the proposed taxonomy, several unexplored environments have been identified. To further study those research opportunities, sample workload traces for each particular environment are required; therefore, basic examples illustrate a preliminary work on dynamic workload trace generation.

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“…Resources overbooking can make cloud services more profitable for CSPs, overlaying requested virtual resources onto physical resources at a higher ratio than 1:1 [7]. Online formulations of the provider-oriented VMP considering overbooking include particular considerations to efficiently attend customers' requirements, enforcing SLAs.…”

Section: B Overbookingmentioning

confidence: 99%

Workload Trace Generation for Dynamic Environments in Cloud Computing

Ortigoza¹,

Lopez-Pires²,

Barán³

2015

Preprint

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Cloud computing datacenters provide millions of virtual machines in actual cloud markets. In this context, Virtual Machine Placement (VMP) is one of the most challenging problems in cloud infrastructure management, considering the large number of possible optimization criteria and different formulations that could be studied. Considering the on-demand model of cloud computing, the VMP problem should be optimized dynamically to efficiently attend typical workload of modern applications. This work presents possible classification criteria for different formulations of the VMP problem from the Cloud Service Providers' (CSPs) perspective in dynamic environments, based on the most relevant dynamic parameters studied so far in the VMP literature. Several examples for understanding the possible dynamic environments are presented for future implementation of workload trace generation to deeply studies and further advance on this research area. Finally, future directions are also presented.

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Quantifying the performance impact of overbooking virtualized resources

Cited by 14 publications

References 5 publications

Network virtualization with dynamic resource pooling and trading mechanism

Network virtualization with dynamic resource pooling and trading mechanism

Dynamic Environments for Virtual Machine Placement considering Elasticity and Overbooking

Workload Trace Generation for Dynamic Environments in Cloud Computing

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