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Antonio, M., 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)
Projects
HITS
Funder
Knowledge Foundation
Available from: 2017-12-05 Created: 2017-12-05 Last updated: 2018-06-27Bibliographically approved
Cardellini, V., Galinac Grbac, T., Kassler, A., Kathiravelu, P., Lo Presti, F., Marotta, A., . . . Luís, V. (2018). Integrating SDN and NFV with QoS-Aware Service Composition Cardellini (1ed.). In: Ivan Ganchev, Robert D. van der Mei and J.L. van den Berg (Ed.), Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools (pp. 212-240). Cham, Switzerland: Springer
Open this publication in new window or tab >>Integrating SDN and NFV with QoS-Aware Service Composition Cardellini
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2018 (English)In: Autonomous Control for a Reliable Internet of Services: Methods, Models, Approaches, Techniques, Algorithms, and Tools / [ed] Ivan Ganchev, Robert D. van der Mei and J.L. van den Berg, Cham, Switzerland: Springer, 2018, 1, p. 212-240Chapter in book (Refereed)
Abstract [en]

Traditional networks are transformed to enable full integrationof heterogeneous hardware and software functions, that are configuredat runtime, with minimal time to market, and are provided to theirend users on “as a service” principle. Therefore, a countless number ofpossibilities for further innovation and exploitation opens up. NetworkFunction Virtualization (NFV) and Software-Defined Networking (SDN)are two key enablers for such a new flexible, scalable, and service-orientednetwork architecture. This chapter provides an overview of QoS-awarestrategies that can be used over the levels of the network abstractionaiming to fully exploit the new network opportunities. Specifically, wepresent three use cases of integrating SDN and NFV with QoS-awareservice composition, ranging from the energy efficient placement of virtualnetwork functions inside modern data centers, to the deployment ofdata stream processing applications using SDN to control the networkpaths, to exploiting SDN for context-aware service compositions.

Place, publisher, year, edition, pages
Cham, Switzerland: Springer, 2018 Edition: 1
Series
Computer Communications Networks and Telecommunications ; 10768
National Category
Telecommunications
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-67474 (URN)10.1007/978-3-319-90415-3 (DOI)978-3-319-90415-3 (ISBN)978-3-319-90414-6 (ISBN)
Available from: 2018-06-07 Created: 2018-06-07 Last updated: 2018-07-13Bibliographically approved
Nasim, R., Zola, E. & Kassler, A. (2018). Robust Optimization for Energy-Efficient Virtual Machine Consolidation in Modern Datacenters. Cluster Computing, 1-29
Open this publication in new window or tab >>Robust Optimization for Energy-Efficient Virtual Machine Consolidation in Modern Datacenters
2018 (English)In: Cluster Computing, ISSN 1386-7857, E-ISSN 1573-7543, p. 1-29Article in journal (Refereed) In press
Abstract [en]

Energy efficient Virtual Machine (VM) consolidation in modern data centers is typically optimized using methods such as Mixed Integer Programming, which typically require precise input to the model. Unfortunately, many parameters are uncertain or very difficult to predict precisely in the real world. As a consequence, a once calculated solution may be highly infeasible in practice. In this paper, we use methods from robust optimization theory in order to quantify the impact of uncertainty in modern data centers. We study the impact of different parameter uncertainties on the energy efficiency and overbooking ratios such as e.g. VM resource demands, migration related overhead or the power consumption model of the servers used. We also show that setting aside additional resource to cope with uncertainty of workload influences the overbooking ratio of the servers and the energy consumption. We show that, by using our model, Cloud operators can calculate a more robust migration schedule leading to higher total energy consumption. A more risky operator may well choose a more opportunistic schedule leading to lower energy consumption but also higher risk of SLA violation.

National Category
Communication Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-48480 (URN)10.1007/s10586-018-2718-6 (DOI)-s2.0-85046037105 (Scopus ID)
Projects
READY
Funder
Knowledge Foundation
Note

Artikeln ingick i avhandlingen som manuskript

Available from: 2017-05-04 Created: 2017-05-04 Last updated: 2018-05-15Bibliographically approved
Antonio, M., 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)
Projects
HITS
Funder
Knowledge Foundation
Available from: 2017-11-01 Created: 2017-11-01 Last updated: 2018-06-27Bibliographically approved
Santos, R., Bozakov, Z., Mangiante, S., Brunström, A. & Kassler, A. (2017). A NEAT framework for application-awareness in SDN environments. In: 2017 IFIP Networking Conference (IFIP Networking) and Workshops: . Paper presented at 2017 IFIP Networking Conference (IFIP Networking) and Workshops, Stockholm, Sweden, 12-16 June 2017. IEEE
Open this publication in new window or tab >>A NEAT framework for application-awareness in SDN environments
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2017 (English)In: 2017 IFIP Networking Conference (IFIP Networking) and Workshops, IEEE, 2017Conference paper, Published paper (Other academic)
Abstract [en]

Software-Defined Networking (SDN) has led to a paradigm shift in the way how networks are managed and operated. In SDN environments the data plane forwarding rules are managed by logically centralized controllers operating on global view of the network. Today, SDN controllers typically posses little insight about the requirements of the applications executed on the end-hosts. Consequently, they rely on heuristics to implement traffic engineering or QoS support. In this work, we propose a framework for application-awareness in SDN environments where the end-hosts provide a generic interface for the SDN controllers to interact with. As a result, SDN controllers may enhance the end-host's view of the attached network and deploy policies into the edge of the network. Further, controllers may obtain information about the specific requirements of the deployed applications. Our demonstration extends the OpenDaylight SDN controller to enable it to interact with end-hosts running a novel networking stack called NEAT. We demonstrate a scenario in which the controller distributes policies and path information to manage bulk and low-latency flows.

Place, publisher, year, edition, pages
IEEE, 2017
National Category
Software Engineering Computer Systems Telecommunications
Identifiers
urn:nbn:se:kau:diva-66624 (URN)10.23919/IFIPNetworking.2017.8264887 (DOI)000425452000064 ()
Conference
2017 IFIP Networking Conference (IFIP Networking) and Workshops, Stockholm, Sweden, 12-16 June 2017
Available from: 2018-03-08 Created: 2018-03-08 Last updated: 2018-07-09Bibliographically approved
Bozakov, Z., Mangiante, S., Hernandez Benet, C., Brunström, A., Santos, R., Kassler, A. & Buckley, D. (2017). A NEAT Framework for Enhanced End-Host Integration in SDN Environments. In: 2017 IEEE CONFERENCE ON NETWORK FUNCTION VIRTUALIZATION AND SOFTWARE DEFINED NETWORKS (NFV-SDN): (pp. 53-59). IEEE
Open this publication in new window or tab >>A NEAT Framework for Enhanced End-Host Integration in SDN Environments
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2017 (English)In: 2017 IEEE CONFERENCE ON NETWORK FUNCTION VIRTUALIZATION AND SOFTWARE DEFINED NETWORKS (NFV-SDN), IEEE, 2017, p. 53-59Chapter in book (Other academic)
Abstract [en]

SDN aims to facilitate the management of increasingly complex, dynamic network environments and optimize the use of the resources available therein with minimal operator intervention. To this end, SDN controllers maintain a global view of the network topology and its state. However, the extraction of information about network flows and other network metrics remains a non-trivial challenge. Network applications exhibit a wide range of properties, posing diverse, often conflicting, demands towards the network. As these requirements are typically not known, controllers must rely on error-prone heuristics to extract them. In this work, we develop a framework which allows applications deployed in an SDN environment to explicitly express their requirements to the network. Conversely, it allows network controllers to deploy policies on end-hosts and to supply applications with information about network paths, salient servers and other relevant metrics. The proposed approach opens the door for fine grained, application-aware resource optimization strategies in SDNs.

Place, publisher, year, edition, pages
IEEE, 2017
Series
2017 IEEE CONFERENCE ON NETWORK FUNCTION VIRTUALIZATION AND SOFTWARE DEFINED NETWORKS (NFV-SDN)
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-66886 (URN)000426936400006 ()978-1-5386-3285-7 (ISBN)
Available from: 2018-03-29 Created: 2018-03-29 Last updated: 2018-06-26Bibliographically approved
Bozakov, Z., Mangiante, S., Hernandez Benet, C., Brunström, A., Santos, R., Kassler, A. & Buckley, D. (2017). A NEAT framework for enhanced end-host integration in SDN environments. In: 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN): . Paper presented at 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). 6-8 Nov. 2017, Berlin, Germany. IEEE
Open this publication in new window or tab >>A NEAT framework for enhanced end-host integration in SDN environments
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2017 (English)In: 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

SDN aims to facilitate the management of increasingly complex, dynamic network environments and optimize the use of the resources available therein with minimal operator intervention. To this end, SDN controllers maintain a global view of the network topology and its state. However, the extraction of information about network flows and other network metrics remains a non-trivial challenge. Network applications exhibit a wide range of properties, posing diverse, often conflicting, demands towards the network. As these requirements are typically not known, controllers must rely on error-prone heuristics to extract them. In this work, we develop a framework which allows applications deployed in an SDN environment to explicitly express their requirements to the network. Conversely, it allows network controllers to deploy policies on end-hosts and to supply applications with information about network paths, salient servers and other relevant metrics. The proposed approach opens the door for fine grained, application-aware resource optimization strategies in SDNs

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
computer network management, optimisation, quality of service, resource allocation, software defined networking, telecommunication traffic
National Category
Computer Sciences Computer Engineering Telecommunications Communication Systems
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-65783 (URN)10.1109/NFV-SDN.2017.8169828 (DOI)978-1-5386-3285-7 (ISBN)
Conference
2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). 6-8 Nov. 2017, Berlin, Germany
Available from: 2018-01-22 Created: 2018-01-22 Last updated: 2018-07-05Bibliographically approved
Alizadeh Noghani, K., Hernandez Benet, C., Kassler, A., Antonio, M., 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)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: 2018-01-13Bibliographically approved
Alizadeh Noghani, K., Hernandez Benet, C., Kassler, A., Antonio, M., 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): (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. 61-66Chapter in book (Other academic)
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
Series
2017 FOURTH INTERNATIONAL CONFERENCE ON SOFTWARE DEFINED SYSTEMS (SDS)
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-65690 (URN)000405190400010 ()978-1-5386-2855-3 (ISBN)
Available from: 2018-01-18 Created: 2018-01-18 Last updated: 2018-06-26Bibliographically approved
Kassler, A., Enrica, Z. & Agapi, M. (2017). Joint User Association and Backhaul Routing for Green 5G Mesh Millimeter Wave Backhaul Networks. In: MSWiM '17 Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems: . Paper presented at ACM MSWIM 2017, Miami Beach, USA, November, 2017 (pp. 179-186). ACM Digital Library
Open this publication in new window or tab >>Joint User Association and Backhaul Routing for Green 5G Mesh Millimeter Wave Backhaul Networks
2017 (English)In: MSWiM '17 Proceedings of the 20th ACM International Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems, ACM Digital Library, 2017, p. 179-186Conference paper, Published paper (Refereed)
Abstract [en]

With the advance of fifth generation (5G) networks, network density needs to grow significantly in order to meet the required capacity demands. A massive deployment of small cells may lead to a high cost for providing fiber connectivity to each node. Consequently, many small cells are expected to be connected through wireless links to the umbrella eNodeB, leading to a mesh backhaul topology. This backhaul solution will most probably be composed of high capacity point-to-point links, typically operating in the millimeter wave (mmWave) frequency band due to its massive bandwidth availability. In this paper, we propose a mathematical model that jointly solves the user association and backhaul routing problem in the aforementioned context, aiming at the energy efficiency maximization of the network. Our study considers the energy consumption of both the access and backhaul links, while taking into account the capacity constraints of all the nodes as well as the fulfillment of the service-level agreements (SLAs). Due to the high complexity of the optimal solution, we also propose an energy efficient heuristic algorithm (Joint), which solves the discussed joint problem, while inducing low complexity in the system. We numerically evaluate the algorithm performance by comparing it not only with the optimal solution but also with reference approaches under different traffic load scenarios and backhaul parameters. Our results demonstrate that Joint outperforms the state-of-the-art, while being able to find good solutions, close to optimal, in short time

Place, publisher, year, edition, pages
ACM Digital Library, 2017
Keywords
5G, Backhaul, Green Heterogeneous Networks, LTE-Advanced, Milimeter Wave (mmWave), Traffic Routing, User Association
National Category
Telecommunications
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-64618 (URN)10.1145/3127540.3127560 (DOI)978-1-4503-5162-1 (ISBN)
Conference
ACM MSWIM 2017, Miami Beach, USA, November, 2017
Projects
SOCRA (4840)
Funder
Knowledge Foundation
Available from: 2018-01-11 Created: 2018-01-11 Last updated: 2018-06-27Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9446-8143

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