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Alizadeh Noghani, KyoomarsORCID iD iconorcid.org/0000-0001-9866-8209
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Publikasjoner (10 av 13) Visa alla publikasjoner
Alizadeh Noghani, K., Kassler, A. & Taheri, J. (2019). On the Cost-Optimality Trade-off for Service Function Chain Reconfiguration. In: : . Paper presented at IEEE CloudNet 2019 - 8th IEEE International Conference on Cloud Networking, Coimbra, Portugal, 4-6 Nov. 2019. IEEE
Åpne denne publikasjonen i ny fane eller vindu >>On the Cost-Optimality Trade-off for Service Function Chain Reconfiguration
2019 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Optimal placement of Virtual Network Functions (VNFs) in virtualized data centers enhances the overall performance of Service Function Chains (SFCs) and decreases the operational costs for mobile network operators. Maintaining an optimal placement of VNFs under changing load requires a dynamic reconfiguration that includes adding or removing VNF instances, changing the resource allocation of VNFs, and re-routing corresponding service flows. However, such reconfiguration may lead to notable service disruptions and impose additional overhead on the VNF infrastructure, especially when reconfiguration entails state or VNF migration. On the other hand, not changing the existing placement may lead to high operational costs. In this paper, we investigate the trade-off between the reconfiguration of SFCs and the optimality of the resulting placement and service flow (re)routing. We model different reconfiguration costs related to the migration of stateful VNFs and solve a joint optimization problem that aims to minimize both the total cost of the VNF placement and the reconfiguration cost necessary for repairing a suboptimal placement. Numerical results show that a small number of reconfiguration operations can significantly reduce the operational cost of the VNF infrastructure; however, too much reconfiguration may not pay off should heavy costs be involved.

sted, utgiver, år, opplag, sider
IEEE, 2019
Emneord
Joint optimization problem, reconfiguration, virtual network function, VNF migration
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-75574 (URN)
Konferanse
IEEE CloudNet 2019 - 8th IEEE International Conference on Cloud Networking, Coimbra, Portugal, 4-6 Nov. 2019
Prosjekter
HITS
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2019-11-11 Laget: 2019-11-11 Sist oppdatert: 2019-12-12bibliografisk kontrollert
Alizadeh Noghani, K., Ghazzai, H. & Kassler, A. (2018). A Generic Framework for Task Offloading in mmWave MEC Backhaul Networks. In: 2018 IEEE Global Communications Conference (GLOBECOM): . Paper presented at 2018 IEEE Global Communications Conference (GLOBECOM) Abu Dhabi, United Arab Emirates, 9-13 dec (pp. 1-7). IEEE
Åpne denne publikasjonen i ny fane eller vindu >>A Generic Framework for Task Offloading in mmWave MEC Backhaul Networks
2018 (engelsk)Inngår i: 2018 IEEE Global Communications Conference (GLOBECOM), IEEE, 2018, s. 1-7Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

With the emergence of millimeter-Wave (mmWave) communication technology, the capacity of mobile backhaul networks can be significantly increased. On the other hand, Mobile Edge Computing (MEC) provides an appropriate infrastructure to offload latency-sensitive tasks. However, the amount of resources in MEC servers is typically limited. Therefore, it is important to intelligently manage the MEC task offloading by optimizing the backhaul bandwidth and edge server resource allocation in order to decrease the overall latency of the offloaded tasks. This paper investigates the task allocation problem in MEC environment, where the mmWave technology is used in the backhaul network. We formulate a Mixed Integer NonLinear Programming (MINLP) problem with the goal to minimize the total task serving time. Its objective is to determine an optimized network topology, identify which server is used to process a given offloaded task, find the path of each user task, and determine the allocated bandwidth to each task on mmWave backhaul links. Because the problem is difficult to solve, we develop a two-step approach. First, a Mixed Integer Linear Program (MILP) determining the network topology and the routing paths is optimally solved. Then, the fractions of bandwidth allocated to each user task are optimized by solving a quasi-convex problem. Numerical results illustrate the obtained topology and routing paths for selected scenarios and show that optimizing the bandwidth allocation significantly improves the total serving time, particularly for bandwidth-intensive tasks.

sted, utgiver, år, opplag, sider
IEEE, 2018
Serie
IEEE Global Communications Conference (GLOBECOM), ISSN 2576-6813, E-ISSN 2576-6813
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-71436 (URN)10.1109/GLOCOM.2018.8647559 (DOI)000465774302096 ()978-1-5386-4727-1 (ISBN)978-1-5386-6976-1 (ISBN)
Konferanse
2018 IEEE Global Communications Conference (GLOBECOM) Abu Dhabi, United Arab Emirates, 9-13 dec
Prosjekter
Socra, 4840
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2019-03-05 Laget: 2019-03-05 Sist oppdatert: 2019-11-10bibliografisk kontrollert
Alizadeh Noghani, K., Kassler, A. & Sankar Gopannan, P. (2018). EVPN/SDN Assisted Live VM Migration between Geo-Distributed Data Centers. In: 4th IEEE Conference on Network Softwarization (NetSoft): . Paper presented at 4th IEEE Conference on Network Softwarization and Workshops (NetSoft), Montreal, Canada, June 25-29, 2018. (pp. 105-113). IEEE
Åpne denne publikasjonen i ny fane eller vindu >>EVPN/SDN Assisted Live VM Migration between Geo-Distributed Data Centers
2018 (engelsk)Inngår i: 4th IEEE Conference on Network Softwarization (NetSoft), IEEE, 2018, s. 105-113Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Live Virtual Machine (VM) migration has significantly improved the flexibility of modern Data Centers (DC). However, seamless live migration of a VM between geo-distributed DCs faces several challenges due to difficulties in preserving the network configuration after the migration paired with a large network convergence time. Although SDN-based approaches can speed up network convergence time, these techniques have two limitations. First, they typically react to the new topology by installing new flow rules once the migration is finished. Second, because the WAN is typically not under SDN control, they result in sub-optimal routing thus severely degrading the network performance once the VM is attached at the new location.

In this paper, we identify networking challenges for VM migration across geo-distributed DCs. Based on those observations, we design a novel long-haul VM migration scheme that overcomes those limitations. First, instead of reactively restoring connectivity after the migration, our SDN-based approach proactively restores flows across the WAN towards the new location with the help of EVPN and VXLAN overlay technologies. Second, the SDN controller accelerates the network convergence by announcing the migration to other controllers using MP-BGP control plane messages. Finally, the SDN controller resolves the sub-optimal routing problem that arises as a result of migration implementing a distributed anycast gateway. We implement our approach as extensions to the OpenDaylight controller. Our evaluation shows that our approach outperforms existing approaches in reducing the downtime by 400 ms and increasing the application performance up to 12 times.

sted, utgiver, år, opplag, sider
IEEE, 2018
Emneord
Data Center, Ethernet VPN, Software Defined Networks, Distributed Gateway, VM Migration
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-70164 (URN)10.1109/NETSOFT.2018.8459946 (DOI)000455125000012 ()978-1-5386-4633-5 (ISBN)
Konferanse
4th IEEE Conference on Network Softwarization and Workshops (NetSoft), Montreal, Canada, June 25-29, 2018.
Prosjekter
HITS
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2018-11-19 Laget: 2018-11-19 Sist oppdatert: 2019-12-12bibliografisk kontrollert
Rezgui, A., Alizadeh Noghani, K. & Taheri, J. (2018). SDN helps Big Data to become fault tolerant (1ed.). In: Javid Taheri (Ed.), Big Data and Software Defined Networks: (pp. 319-336). London: IET Digital Library
Åpne denne publikasjonen i ny fane eller vindu >>SDN helps Big Data to become fault tolerant
2018 (engelsk)Inngår i: Big Data and Software Defined Networks / [ed] Javid Taheri, London: IET Digital Library, 2018, 1, s. 319-336Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

SDN networks would have many advantages to be used as fault-tolerant Big Data infrastructures such as programmability and global network view which help monitor and control the network behavior adaptively and efficiently. This chapter studied a number of requirements to provide fault tolerance in networks that Big Data applications perform upon. First, we studied the key requirements to be fault tolerant. The network topology design is crucial to provide resiliency against node or link failure. Second, we mentioned the principle concepts of fault tolerance and elaborated on reactive and proactive methods as two common approaches to deal with the failures in networks. Third, the fault-tolerant mechanisms in SDN architecture and their advantages were elucidated. Consequently, we investigated a number of studies that leverage SDN to provide fault tolerance. Finally, this chapter was concluded by introducing open issues and challenges in SDN architecture to provide a perfect fault-tolerant network.

sted, utgiver, år, opplag, sider
London: IET Digital Library, 2018 Opplag: 1
Emneord
telecommunication network topology; Big Data; computer network reliability; software defined networking; failure analysis; software fault tolerance
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-67214 (URN)10.1049/PBPC015E_ch15 (DOI)978-1-78561-304-3 (ISBN)978-1-78561-305-0 (ISBN)
Tilgjengelig fra: 2018-04-27 Laget: 2018-04-27 Sist oppdatert: 2019-11-07bibliografisk kontrollert
Alizadeh Noghani, K., Hernandez Benet, C. & Taheri, J. (2018). SDN helps volume in Big Data (1ed.). In: Javid Taheri (Ed.), Big Data and Software Defined Networks: (pp. 185-206). London: IET Digital Library
Åpne denne publikasjonen i ny fane eller vindu >>SDN helps volume in Big Data
2018 (engelsk)Inngår i: Big Data and Software Defined Networks / [ed] Javid Taheri, London: IET Digital Library, 2018, 1, s. 185-206Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

Both Big Data and SDN are described in detail in previous chapters. This chapter investigates how SDN architecture can leverage its unique features to mitigate the challenges of Big Data volume. Accordingly, first, we provide an overview of Big Data volume, its effects on the underlying network, and mention some potential SDN solutions to address the corresponding challenges. Second, we elaborate more on the network-monitoring, traffic-engineering, and fault-tolerant mechanisms which we believe they may help to address the challenges of Big Data volume. Finally, this chapter is concluded with some open issues.

sted, utgiver, år, opplag, sider
London: IET Digital Library, 2018 Opplag: 1
Emneord
Big Data; software fault tolerance; software defined networking; telecommunication traffic
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-67212 (URN)10.1049/PBPC015E_ch9 (DOI)978-1-78561-304-3 (ISBN)978-1-78561-305-0 (ISBN)
Tilgjengelig fra: 2018-04-27 Laget: 2018-04-27 Sist oppdatert: 2019-11-07bibliografisk kontrollert
Hernandez Benet, C., Alizadeh Noghani, K. & Taheri, J. (2018). SDN implementations and protocols (1ed.). In: Javid Taheri (Ed.), Big Data and Software Defined Networks: (pp. 27-48). IET Digital Library
Åpne denne publikasjonen i ny fane eller vindu >>SDN implementations and protocols
2018 (engelsk)Inngår i: Big Data and Software Defined Networks / [ed] Javid Taheri, IET Digital Library, 2018, 1, s. 27-48Kapittel i bok, del av antologi (Fagfellevurdert)
Abstract [en]

This chapter begins by explaining the main SDN concepts with the focus on a SDN controller. It presents the most important aspects to consider when we desire to go from traditional network to a SDN networks. We present an in-depth analysis of the most commonly used and modern SDN controllers and analyse the main features, capabilities and requirements of one of the presented controllers. OpenFlow is the standard leading in the market allowing the management of the forwarding plane devices such as routers or switches. While there are other standards with the same aim, OpenFlow has secured a position in the market and has been expanded rapidly. Therefore, an analysis is presented on a different OpenFlow compatible device for the implementation of an SDN network. This study encompasses both software and hardware solutions along with the scope of implementation or use of these devices. This chapter ends up presenting a description of OpenFlow protocol alternatives, a more detailed description of OpenFlow and its components and other wellknown southbound protocols involved for the management and configuration of the devices.

sted, utgiver, år, opplag, sider
IET Digital Library, 2018 Opplag: 1
Emneord
software defined networking; protocols
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-67209 (URN)10.1049/PBPC015E_ch2 (DOI)978-1-78561-304-3 (ISBN)978-1-78561-305-0 (ISBN)
Tilgjengelig fra: 2018-04-27 Laget: 2018-04-27 Sist oppdatert: 2019-11-07bibliografisk kontrollert
Alizadeh Noghani, K. (2018). Towards Seamless Live Migration in SDN-Based Data Centers. (Licentiate dissertation). Karlstad: Karlstads universitet
Åpne denne publikasjonen i ny fane eller vindu >>Towards Seamless Live Migration in SDN-Based Data Centers
2018 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
Abstract [en]

Live migration of Virtual Machines (VMs) has significantly improved the flexibility of modern Data Centers (DCs). Ideally, live migration ought to be seamless which in turn raises challenges on how to minimize service disruption and avoid performance degradation. To address these challenges, a comprehensive support from the underlying network is required. However, legacy DC networks fall short to help as they take a reactive approach to live migration procedure. Moreover, the complexity and inflexibility of legacy DC networks make it difficult to deploy, manage, and improve network technologies that DC providers may need to use for migration.

In this thesis, we explore the application of Software Defined Networking (SDN) paradigm for making live VM migration more seamless. Exploiting the characteristics of SDN such as its centralized view on network states, we contribute to the body of knowledge by enhancing the quality of intra- and inter-DC live migration. Firstly, for intra-DC migration, we provide an SDN-based solution which minimizes the service disruption by employing OpenFlow-based resiliency mechanisms to prepare a DC network for migration proactively. Secondly, we improve the inter-DC live migration by accelerating the network convergence through announcing the migration in the control plane using MP-BGP protocol. Further, our proposed framework resolves the sub-optimal routing problem by conducting the gateway functionality at the SDN controller. Finally, with the ultimate goal of improving the inter-DC migration, we develop an SDN-based framework which automates the deployment, improves the management, enhances the performance, and increases the scalability of interconnections among DCs.

Abstract [en]

Live migration of Virtual Machines (VMs) has significantly improved the flexibility of modern Data Centers (DCs). Ideally, live migration ought to be seamless which requires a comprehensive support from the underlying network. However, legacy DC networks fall short to address the challenges of migration due to their inflexible and decentralized characteristics. In contrast, Software Defined Networking (SDN) is a new networking paradigm, which has the potential to improve the live migration thanks to its comprehensive view over the network, flexible structure, and its close integration with DC management infrastructures.

This thesis investigates networking challenges of short and long-haul live VM migration in SDN-based DCs. We propose solutions to make the intra- and inter-DC live migration procedures more seamless. Furthermore, our proposed SDN-based framework for inter-DC migration improves the management, enhances the performance, and increases the scalability of interconnections among DCs.

sted, utgiver, år, opplag, sider
Karlstad: Karlstads universitet, 2018. s. 25
Serie
Karlstad University Studies, ISSN 1403-8099 ; 2018:55
Emneord
Data Center, Data Center Interconnection, EVPN, SDN, VM Migration
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-70166 (URN)978-91-7063-896-1 (ISBN)978-91-7063-991-3 (ISBN)
Presentation
2018-12-19, Universitetsgatan 2, Karlstad, 09:15 (engelsk)
Opponent
Veileder
Prosjekter
HITS, 4707
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2018-11-28 Laget: 2018-11-19 Sist oppdatert: 2019-11-07bibliografisk kontrollert
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
Åpne denne publikasjonen i ny fane eller vindu >>Automating Ethernet VPN deployment in SDN-based Data Centers
Vise andre…
2017 (engelsk)Inngår i: 2017 Fourth International Conference on Software Defined Systems (SDS)., IEEE, 2017, s. 61-66Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE, 2017
Emneord
cloud computing, computer centres, local area networks, software defined networking, virtual private networks
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-65144 (URN)10.1109/SDS.2017.7939142 (DOI)000405190400010 ()978-1-5386-2855-3 (ISBN)
Konferanse
Fourth International Conference on Software Defined Systems (SDS) 2017. 8-11 May, 2017. Valencia, Spain.
Prosjekter
HITS
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2017-11-09 Laget: 2017-11-09 Sist oppdatert: 2019-12-12bibliografisk kontrollert
Hernandez Benet, C., Nasim, R., Alizadeh Noghani, K. & Kassler, A. (2017). OpenStackEmu - A Cloud Testbed Combining Network Emulation with OpenStack and SDN. In: Consumer Communications & Networking Conference (CCNC), 2017 14th IEEE Annual: . Paper presented at The 14th Annual IEEE Consumer Communications & Networking Conference (CCNC), 8-11 Jan. 2017, Las Vegas, USA (pp. 566-568). IEEE
Åpne denne publikasjonen i ny fane eller vindu >>OpenStackEmu - A Cloud Testbed Combining Network Emulation with OpenStack and SDN
2017 (engelsk)Inngår i: Consumer Communications & Networking Conference (CCNC), 2017 14th IEEE Annual, IEEE, 2017, s. 566-568Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

OpenStack has been widely acknowledged to be one of the most important open source cloud platforms. In order to perform experimentally driven research in the area of cloud and cloud networking, there is however a big gap, because most researchers do not have access to a large cloud deployment and cannot change networking or compute infrastructure in order to test their algorithms and protocols on a large-scale. We developed OpenStackEmu, which is to the best of our knowledge the first attempt that combines OpenStack infrastructure with a Software Defined Networking (SDN) based controller such as OpenDaylight and a large-scale network emulator CORE (Common Open Research Emulator). The OpenStack compute and control nodes are connected to the CORE emulation server using TUN/TAP interfaces that inject the control (e.g. for VM migration) and data (VM-to-VM traffic) packets into a customizable network topology that is emulated using configurable Open vSwitches using CORE emulator. Experimenters can define e.g. fat-tree or distributed data center topologies and study the behavior of real VMs and services in those VMs under different background loads and SDN routing policies. We integrated the data center traffic generator DCT2Gen that allows to generate realistic background traffic based on traces from real data centers. Experimenters can study the performance impact of different VM migration strategies or different routing and load balancing schemes on real VM and application performance using different emulated topologies. We believe that OpenStackEmu is an important tool for both the SDN and OpenStack community in order to evaluate the performance of novel algorithms and protocols in the area of cloud networking.

sted, utgiver, år, opplag, sider
IEEE, 2017
Serie
IEEE Consumer Communications and Networking Conference, ISSN 2331-9852
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-48478 (URN)10.1109/CCNC.2017.7983169 (DOI)000412117100118 ()978-1-5090-6196-9 (ISBN)
Konferanse
The 14th Annual IEEE Consumer Communications & Networking Conference (CCNC), 8-11 Jan. 2017, Las Vegas, USA
Prosjekter
HITS
Tilgjengelig fra: 2017-05-04 Laget: 2017-05-04 Sist oppdatert: 2019-12-12bibliografisk kontrollert
Hernandez Benet, C., Alizadeh Noghani, K., Kassler, A., Dobrijevic, O. & Jestin, P. (2017). Policy-based routing and load balancing for EVPN-based data center interconnections. In: Network Function Virtualization and Software Defined Networks (NFV-SDN), 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
Åpne denne publikasjonen i ny fane eller vindu >>Policy-based routing and load balancing for EVPN-based data center interconnections
Vise andre…
2017 (engelsk)Inngår i: Network Function Virtualization and Software Defined Networks (NFV-SDN), 2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2017Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The Ethernet VPN (EVPN) technology has emerged as a key solution for the interconnection of geo-distributed Data Centers (DCs) over provider-managed MPLS networks. Such interconnections need to satisfy service-level agreements, which can be achieved by enforcing Traffic Engineering (TE) policies. However, deploying an effective TE policy is challenging and complex. This stems from the fact that network administrators should have a detailed insight into the network status and protocol specifics. Software-Defined Networking (SDN) may facilitate both the policy definition and deployment based on its comprehensive network view and existing integration with DC management systems, such as OpenStack. This paper presents an SDN-based framework for policy-driven DC interconnections that are built around EVPN. The framework is designed to translate routing and other TE policies, which are defined for EVPN instances, into appropriate low-level network actions to meet the policy goals. A generic programming interface allows an SDN controller to load different TE strategies so as to implement the policy, without the need to hard-code it. Moreover, our evaluations illustrate how clients might benefit from specific TE strategies and what is their impact on network performance

sted, utgiver, år, opplag, sider
IEEE, 2017
Emneord
Cloud Networking, Ethernet Virtual Private Network (EVPN), Software-Defined Networking (SDN), Routing Policy Management, OpenStack, OpenDaylight
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
urn:nbn:se:kau:diva-65600 (URN)10.1109/NFV-SDN.2017.8169841 (DOI)000426936400019 ()978-1-5386-3285-7 (ISBN)
Konferanse
2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 6-8 Nov. 2017, Berlin, Germany
Prosjekter
HITS, 4707
Forskningsfinansiär
Knowledge Foundation
Tilgjengelig fra: 2018-01-15 Laget: 2018-01-15 Sist oppdatert: 2019-12-12bibliografisk kontrollert
Organisasjoner
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0001-9866-8209