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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
Tran, G. K., Santos, R., Ogawa, H., Nakamura, M., Sakaguchi, K. & Kassler, A. (2018). Context-based dynamic meshed backhaul construction for 5G heterogeneous networks. Journal of Sensor and Actuator Networks, 7(4), Article ID 43.
Open this publication in new window or tab >>Context-based dynamic meshed backhaul construction for 5G heterogeneous networks
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2018 (English)In: Journal of Sensor and Actuator Networks, ISSN 2224-2708, Vol. 7, no 4, article id 43Article in journal (Refereed) Published
Abstract [en]

Five-G heterogeneous network overlaid by millimeter-wave (mmWave) access employs mmWave meshed backhauling as a promising cost-efficient backhaul architecture. Due to the nature of mobile traffic distribution in practice which is both time-variant and spatially non-uniform, dynamic construction of mmWave meshed backhaul is a prerequisite to support the varying traffic distribution. Focusing on such scenario of outdoor dynamic crowd (ODC), this paper proposes a novel method to control mmWave meshed backhaul for efficient operation of mmWave overlay 5G HetNet through Software-Defined Network (SDN) technology. Our algorithm is featured by two functionalities, i.e., backhauling route multiplexing for overloaded mmWave small cell base stations (SC-BSS) and mmWave SC-BSS' ON/OFF status switching for underloaded spot. In this paper, the effectiveness of the proposed meshed network is confirmed by both numerical analyses and experimental results. Simulations are conducted over a practical user distribution modeled from measured data in realistic environments. Numerical results show that the proposed algorithm can cope with the locally intensive traffic and reduce energy consumption. Furthermore, a WiGig (Wireless Gigabit Alliance certified) device based testbed is developed for Proof-of-Concept (PoC) and preliminary measurement results confirm the proposed dynamic formation of the meshed network's efficiency.

Place, publisher, year, edition, pages
MDPI AG, 2018
Keywords
5G heterogeneous network, Dynamic construction, Experimental validation, Meshed backhaul, Mmwave, Numerical analysis, Outdoor dynamic crowd, SDN, Testbed
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-70358 (URN)10.3390/jsan7040043 (DOI)2-s2.0-85056267796 (Scopus ID)
Available from: 2018-11-29 Created: 2018-11-29 Last updated: 2018-12-13Bibliographically approved
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).
Open this publication in new window or tab >>EVPN/SDN Assisted Live VM Migration between Geo-Distributed Data Centers
2018 (English)In: 4th IEEE Conference on Network Softwarization (NetSoft), 2018, p. 105-113Conference paper, Published paper (Refereed)
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.

Keywords
Data Center, Ethernet VPN, Software Defined Networks, Distributed Gateway, VM Migration
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-70164 (URN)10.1109/NETSOFT.2018.8459946 (DOI)978-1-5386-4633-5 (ISBN)
Conference
4th IEEE Conference on Network Softwarization and Workshops (NetSoft), Montreal, Canada, June 25-29, 2018.
Projects
HITS
Funder
Knowledge Foundation
Available from: 2018-11-19 Created: 2018-11-19 Last updated: 2018-11-22Bibliographically 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)000410012400004 ()
Projects
HITS
Funder
Knowledge Foundation
Available from: 2017-11-01 Created: 2017-11-01 Last updated: 2018-08-20Bibliographically 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 16th International IFIP TC6 Networking Conference, Networking 2017, Stockholm, June 12-15, 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 (Refereed)
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
Computer Sciences
Research subject
Computer Science
Identifiers
urn:nbn:se:kau:diva-64539 (URN)10.23919/IFIPNetworking.2017.8264887 (DOI)000425452000064 ()978-3-901882-94-4 (ISBN)
Conference
16th International IFIP TC6 Networking Conference, Networking 2017, Stockholm, June 12-15, 2017
Projects
NEAT
Funder
EU, Horizon 2020
Note

Demo paper

Available from: 2017-10-13 Created: 2017-10-13 Last updated: 2018-09-05
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)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: 2018-11-19Bibliographically approved
Zola, E., Kassler, A. & Kim, W. (2017). Joint User Association and Energy Aware Routing for Green Small Cell mmWave Backhaul Networks. In: 2017 IEEE Wireless Communications and Networking Conference (WCNC): . Paper presented at IEEE Wireless Communications and Networking Conference (WCNC), March 19-22, 2017, San Francisco, CA. IEEE
Open this publication in new window or tab >>Joint User Association and Energy Aware Routing for Green Small Cell mmWave Backhaul Networks
2017 (English)In: 2017 IEEE Wireless Communications and Networking Conference (WCNC), IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

A dense deployment of small cells is one of the key characteristics envisioned for future 5G mobile networks in order to provide the required capacity increase. To cut cabling costs, small cells are foreseen to form multihop topologies using high capacity backhaul wireless links in the mmWave bands. Such small cells are deployed within the coverage area of a macro cell (eNB) to provide localized capacity where needed according to the well known Heterogeneous Network concept (HetNet). However, green networking will be very important because powering on unnecessarily a massive amount of small cells may lead to increased OPEX and CO2 emission. In this paper, we propose an optimization model that minimizes the total power consumption of 5G HetNets deployments while providing the required capacity and coverage. Our model jointly optimizes the user association, routing in the multihop backhaul and decides to power on or off the small cells to serve the user demands. Our numerical evaluation show significant power savings over a large range of traffic demand distributions while keeping the blocking probability low.

Place, publisher, year, edition, pages
IEEE, 2017
Series
IEEE Wireless Communications and Networking Conference, ISSN 1525-3511
National Category
Telecommunications Communication Systems Computer Engineering
Identifiers
urn:nbn:se:kau:diva-65649 (URN)10.1109/WCNC.2017.7925706 (DOI)000403137600226 ()978-1-5090-4183-1 (ISBN)
Conference
IEEE Wireless Communications and Networking Conference (WCNC), March 19-22, 2017, San Francisco, CA
Available from: 2018-01-17 Created: 2018-01-17 Last updated: 2018-07-03Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-9446-8143

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