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Marotta, A., Avallone, S. & Kassler, A. (2018). A Joint Power Efficient Server and Network Consolidation approach for virtualized data centers. Computer Networks, 130, 65-80
Open this publication in new window or tab >>A Joint Power Efficient Server and Network Consolidation approach for virtualized data centers
2018 (English)In: Computer Networks, ISSN 1389-1286, E-ISSN 1872-7069, Vol. 130, p. 65-80Article in journal (Refereed) Published
Abstract [en]

Cloud computing and virtualization are enabling technologies for designing energy-aware resource management mechanisms in virtualized data centers. Indeed, one of the main challenges of big data centers is to decrease the power consumption, both to cut costs and to reduce the environmental impact. To this extent, Virtual Machine (VM) consolidation is often used to smartly reallocate the VMs with the objective of reducing the power consumption, by exploiting the VM live migration. The consolidation problem consists in finding the set of migrations that allow to keep turned on the minimum number of servers needed to host all the VMs. However, most of the proposed consolidation approaches do not consider the network related consumption, which represents about 10–20% of the total energy consumed by IT equipment in real data centers. This paper proposes a novel joint server and network consolidation model that takes into account the power efficiency of both the switches forwarding the traffic and the servers hosting the VMs. It powers down switch ports and routes traffic along the most energy efficient path towards the least energy consuming server under QoS constraints. Since the model is complex, a fast Simulated Annealing based Resource Consolidation algorithm (SARC) is proposed. Our numerical results demonstrate that our approach is able to save on average 50% of the network related power consumption compared to a network unaware consolidation.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
Cloud, Virtualization, Power, Green computing, Simulated annealing
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-65324 (URN)10.1016/j.comnet.2017.11.003 (DOI)000424179900006 ()
Projects
HITS
Funder
Knowledge Foundation
Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2019-10-29Bibliographically approved
Marotta, A., Zola, E., D'Andreagiovanni, F. & Kassler, A. (2017). A fast robust optimization-based heuristic for the deployment of green virtual network functions. Journal of Network and Computer Applications, 95, 45-53
Open this publication in new window or tab >>A fast robust optimization-based heuristic for the deployment of green virtual network functions
2017 (English)In: Journal of Network and Computer Applications, ISSN 1084-8045, E-ISSN 1095-8592, Vol. 95, p. 45-53Article in journal (Refereed) Published
Abstract [en]

Network Function Virtualization (NFV) has attracted a lot of attention in the telecommunication field because it allows to virtualize core-business network functions on top of a NFV Infrastructure. Typically, virtual network functions (VNFs) can be represented as chains of Virtual Machines (VMs) or containers that exchange network traffic which are deployed inside datacenters on commodity hardware. In order to achieve cost efficiency, network operators aim at minimizing the power consumption of their NFV infrastructure. This can be achieved by using the minimum set of physical servers and networking equipment that are able to provide the quality of service required by the virtual functions in terms of computing, memory, disk and network related parameters. However, it is very difficult to predict precisely the resource demands required by the VNFs to execute their tasks. In this work, we apply the theory of robust optimization to deal with such parameter uncertainty. We model the problem of robust VNF placement and network embedding under resource demand uncertainty and network latency constraints using robust mixed integer optimization techniques. For online optimization, we develop fast solution heuristics. By using the virtualized Evolved Packet Core as use case, we perform a comprehensive evaluation in terms of performance, solution time and complexity and show that our heuristic can calculate robust solutions for large instances under one second.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Network Function Virtualization (NFV), Robust optimization (RO), VNF, 5G, VNF placement heuristic, Datacenter
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-64571 (URN)10.1016/j.jnca.2017.07.014 (DOI)000410012400004 ()
Projects
HITS
Funder
Knowledge Foundation
Available from: 2017-11-01 Created: 2017-11-01 Last updated: 2019-07-09Bibliographically approved
Alizadeh Noghani, K., Hernandez Benet, C., Kassler, A., Marotta, A., Jestin, P. & Srivastava, V. V. (2017). Automating Ethernet VPN deployment in SDN-based Data Centers. In: 2017 Fourth International Conference on Software Defined Systems (SDS).: . Paper presented at Fourth International Conference on Software Defined Systems (SDS) 2017. 8-11 May, 2017. Valencia, Spain. (pp. 61-66). IEEE
Open this publication in new window or tab >>Automating Ethernet VPN deployment in SDN-based Data Centers
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2017 (English)In: 2017 Fourth International Conference on Software Defined Systems (SDS)., IEEE, 2017, p. 61-66Conference paper, Published paper (Refereed)
Abstract [en]

Layer 2 Virtual Private Network (L2VPN) is widely deployed in both service provider networks and enterprises. However, legacy L2VPN solutions have scalability limitations in the context of Data Center (DC) interconnection and networking which require new approaches that address the requirements of service providers for virtual private cloud services. Recently, Ethernet VPN (EVPN) has been proposed to address many of those concerns and vendors started to deploy EVPN based solutions in DC edge routers. However, manual configuration leads to a time-consuming, error-prone configuration and high operational costs. Automating the EVPN deployment from cloud platforms such as OpenStack enhances both the deployment and flexibility of EVPN Instances (EVIs). This paper proposes a Software Defined Network (SDN) based framework that automates the EVPN deployment and management inside SDN-based DCs using OpenStack and OpenDaylight (ODL). We implemented and extended several modules inside ODL controller to manage and interact with EVIs and an interface to OpenStack that allows the deployment and configuration of EVIs. We conclude with scalability analysis of our solution.

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
cloud computing, computer centres, local area networks, software defined networking, virtual private networks
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-65144 (URN)10.1109/SDS.2017.7939142 (DOI)000405190400010 ()978-1-5386-2855-3 (ISBN)
Conference
Fourth International Conference on Software Defined Systems (SDS) 2017. 8-11 May, 2017. Valencia, Spain.
Projects
HITS
Funder
Knowledge Foundation
Available from: 2017-11-09 Created: 2017-11-09 Last updated: 2019-12-12Bibliographically approved
Marotta, A., D’Andreagiovanni, F., Kassler, A. & Zola, E. (2017). On the energy cost of robustness for green virtual network function placement in 5G virtualized infrastructures. Computer Networks, 125, 64-75
Open this publication in new window or tab >>On the energy cost of robustness for green virtual network function placement in 5G virtualized infrastructures
2017 (English)In: Computer Networks, ISSN 1389-1286, E-ISSN 1872-7069, Vol. 125, p. 64-75Article in journal (Refereed) Published
Abstract [en]

Next generation 5G networks will rely on virtualized Data Centers (vDC) to host virtualized network functions on commodity servers. Such Network Function Virtualization (NFV) will lead to significant savings in terms of infrastructure cost and reduced management complexity. However, green strategies for networking and computing inside data centers, such as server consolidation or energy aware routing, should not negatively impact the quality and service level agreements expected from network operators. In this paper, we study how robust strategies that place virtual network functions (VNF) inside vDC impact the energy savings and the protection level against resource demand uncertainty. We propose novel optimization models that allow the minimization of the energy of the computing and network infrastructure which is hosting a set of service chains that implement the VNFs. The model explicitly provides for robustness to unknown or imprecisely formulated resource demand variations, powers down unused routers, switch ports and servers, and calculates the energy optimal VNF placement and network embedding also considering latency constraints on the service chains. We propose both exact and heuristic methods. Our experiments were carried out using the virtualized Evolved Packet Core (vEPC), which allows us to quantitatively assess the trade-off between energy cost, robustness and the protection level of the solutions against demand uncertainty. Our heuristic is able to converge to a good solution in a very short time, in comparison to the exact solver, which is not able to output better results in a longer run as demonstrated by our numerical evaluation. We also study the degree of robustness of a solution for a given protection level and the cost of additional energy needed because of the usage of more computing and network elements.

Place, publisher, year, edition, pages
Elsevier, 2017
Keywords
Virtualization, Binary linear programming, Robust optimization, Network function virtualization (NFV), EPC, 5G
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-64563 (URN)10.1016/j.comnet.2017.04.045 (DOI)000412608400007 ()
Projects
HITS
Funder
Knowledge Foundation, 4707
Available from: 2017-10-16 Created: 2017-10-16 Last updated: 2019-08-02Bibliographically approved
Marotta, A. & Kassler, A. (2016). Green Virtual Network Functions Placement Under Uncertainty Constraints. In: : . Paper presented at The 28th European Conference on Operational Research, Poznan, 3-6 July 2016.
Open this publication in new window or tab >>Green Virtual Network Functions Placement Under Uncertainty Constraints
2016 (English)In: , 2016Conference paper, Oral presentation with published abstract (Refereed)
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-41734 (URN)
Conference
The 28th European Conference on Operational Research, Poznan, 3-6 July 2016
Projects
HITS
Funder
Knowledge Foundation
Available from: 2016-04-20 Created: 2016-04-20 Last updated: 2018-01-12Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-8802-504x

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