Cloud Virtual Network Embedding: Profit, Power and Acceptance

Nonde, Leonard; El-Gorashi, Taisir E. H.; Elmirghani, Jaafar M. H.

doi:10.1109/glocom.2014.7417788

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…We have investigated the VNE problem for profit maximization by InPs in cloud networks [18]. We developed a MILP model and showed that higher acceptance rates do not necessarily lead to higher profit due to the high cost associated with accepting some of the VNRs.…”

Section: Related Workmentioning

confidence: 99%

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Energy Efficient Virtual Network Embedding for Cloud Networks

Nonde

El-Gorashi

Elmirghani

2015

J. Lightwave Technol.

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150

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Network virtualization is widely considered to be one of the main paradigms for the future Internet architecture as it provides a number of advantages including scalability, on demand allocation of network resources, and the promise of efficient use of network resources. In this paper, we propose an energy efficient virtual network embedding (EEVNE) approach for cloud computing networks, where power savings are introduced by consolidating resources in the network and data centers. We model our approach in an IP over WDM network using mixed integer linear programming (MILP). The performance of the EEVNE approach is compared with two approaches from the literature: the bandwidth cost approach (CostVNE) and the energy aware approach (VNE-EA). The CostVNE approach optimizes the use of available bandwidth, while the VNE-EA approach minimizes the power consumption by reducing the number of activated nodes and links without taking into account the granular power consumption of the data centers and the different network devices. The results show that the EEVNE model achieves a maximum power saving of 60% (average 20%) compared to the CostVNE model under an energy inefficient data center power profile. We develop a heuristic, real-time energy optimized VNE (REOViNE), with power savings approaching those of the EEVNE model. We also compare the different approaches adopting an energy efficient data center power profile. Furthermore, we study the impact of delay and node location constraints on the energy efficiency of virtual network embedding. We also show how VNE can impact the design of optimally located data centers for minimal power consumption in cloud networks. Finally, we examine the power savings and spectral efficiency benefits that VNE offers in optical orthogonal division multiplexing networks.Index Terms-Cloud networks, energy efficient networks, IP over WDM networks, MILP, network virtualization, optical OFDM, virtual network embedding.

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Section: Related Workmentioning

confidence: 99%

“…In addition to Constraints (3)-(14) defined in Section III-B and Constraint (18) in Section VII-A, the model is subject to the following constraints:…”

Section: A Milp Model For Optimal Data Center Locations In Cloud Netmentioning

confidence: 99%

Energy Efficient Virtual Network Embedding for Cloud Networks

Nonde

El-Gorashi

Elmirghani

2015

J. Lightwave Technol.

Self Cite

150

View full text Add to dashboard Cite

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“…We addressed the link embedding problem as a multilayer problem that includes both the IP layer and the optical layer in an IP over WDM network and considered the granular power consumption of various network devices as well as the power consumption in data centers. In [6], we extended our study to investigate the energy efficiency of VNE in optical OFDM networks and in [7] we studied the impact of maximizing profit on the power consumption and acceptance of VNRs.…”

Section: Introductionmentioning

confidence: 99%

Virtual Network Embedding Employing Renewable Energy Sources

Nonde

El-Gorashi

Elmirgahni

2016

2016 IEEE Global Communications Conference (GLOBECOM)

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Abstract-Environmental sustainability in high capacitynetworks and cloud data centers has become one of the hottest research subjects. In this paper, we investigate the effective use of renewable energy and hence resource allocation in core networks with clouds as a means of reducing the carbon footprint. We develop a Green Virtual Network Embedding (GVNE) framework for minimizing the use of non-renewable energy through intelligent provisioning of bandwidth and cloud data center resources. The problem is modeled as a mixed integer linear program (MILP). The results show that it is better to instantiate virtual machines in cloud data centers that have access to abundant renewable energy even at the expense of traversing several links across the network. The GVNE model reduces the overall CO2 emissions by up to 32% for the network considering solar power availability and data center locations.

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Cloud Virtual Network Embedding: Profit, Power and Acceptance

Cited by 2 publications

References 16 publications

Energy Efficient Virtual Network Embedding for Cloud Networks

Energy Efficient Virtual Network Embedding for Cloud Networks

Virtual Network Embedding Employing Renewable Energy Sources

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