Network as a Service and its Key Challenges in Cloud Computing

With the passage of time, cloud computing is gaining importance due its usability, flexibility, efficiency, and reachability.  Virtualization is the key component in cloud computing. Through virtualization, not only software and hardware resources are efficiently used, but also a lot of money is saved. Virtual networking is also an emerging utilization, achieved through virtualization of resources. Keeping in view the importance of this area of research, this paper discusses about virtual networking and the key challenges involved in it and in virtual switch

The Road Ahead for Networking: A Survey on ICN-IP Coexistence Solutions

In recent years, the current Internet has experienced an unexpected paradigm shift in the usage model, which has pushed researchers towards the design of the Information-Centric Networking (ICN) paradigm as a possible replacement of the existing architecture. Even though both Academia and Industry have investigated the feasibility and effectiveness of ICN, achieving the complete replacement of the Internet Protocol (IP) is a challenging task. Some research groups have already addressed the coexistence by designing their own architectures, but none of those is the final solution to move towards the future Internet considering the unaltered state of the networking. To design such architecture, the research community needs now a comprehensive overview of the existing solutions that have so far addressed the coexistence. The purpose of this paper is to reach this goal by providing the first comprehensive survey and classification of the coexistence architectures according to their features (i.e., deployment approach, deployment scenarios, addressed coexistence requirements and architecture or technology used) and evaluation parameters (i.e., challenges emerging during the deployment and the runtime behaviour of an architecture). We believe that this paper will finally fill the gap required for moving towards the design of the final coexistence architecture.Comment: 23 pages, 16 figures, 3 table

SDN Architecture and Southbound APIs for IPv6 Segment Routing Enabled Wide Area Networks

The SRv6 architecture (Segment Routing based on IPv6 data plane) is a promising solution to support services like Traffic Engineering, Service Function Chaining and Virtual Private Networks in IPv6 backbones and datacenters. The SRv6 architecture has interesting scalability properties as it reduces the amount of state information that needs to be configured in the nodes to support the network services. In this paper, we describe the advantages of complementing the SRv6 technology with an SDN based approach in backbone networks. We discuss the architecture of a SRv6 enabled network based on Linux nodes. In addition, we present the design and implementation of the Southbound API between the SDN controller and the SRv6 device. We have defined a data-model and four different implementations of the API, respectively based on gRPC, REST, NETCONF and remote Command Line Interface (CLI). Since it is important to support both the development and testing aspects we have realized an Intent based emulation system to build realistic and reproducible experiments. This collection of tools automate most of the configuration aspects relieving the experimenter from a significant effort. Finally, we have realized an evaluation of some performance aspects of our architecture and of the different variants of the Southbound APIs and we have analyzed the effects of the configuration updates in the SRv6 enabled nodes

Segment Routing: a Comprehensive Survey of Research Activities, Standardization Efforts and Implementation Results

Fixed and mobile telecom operators, enterprise network operators and cloud providers strive to face the challenging demands coming from the evolution of IP networks (e.g. huge bandwidth requirements, integration of billions of devices and millions of services in the cloud). Proposed in the early 2010s, Segment Routing (SR) architecture helps face these challenging demands, and it is currently being adopted and deployed. SR architecture is based on the concept of source routing and has interesting scalability properties, as it dramatically reduces the amount of state information to be configured in the core nodes to support complex services. SR architecture was first implemented with the MPLS dataplane and then, quite recently, with the IPv6 dataplane (SRv6). IPv6 SR architecture (SRv6) has been extended from the simple steering of packets across nodes to a general network programming approach, making it very suitable for use cases such as Service Function Chaining and Network Function Virtualization. In this paper we present a tutorial and a comprehensive survey on SR technology, analyzing standardization efforts, patents, research activities and implementation results. We start with an introduction on the motivations for Segment Routing and an overview of its evolution and standardization. Then, we provide a tutorial on Segment Routing technology, with a focus on the novel SRv6 solution. We discuss the standardization efforts and the patents providing details on the most important documents and mentioning other ongoing activities. We then thoroughly analyze research activities according to a taxonomy. We have identified 8 main categories during our analysis of the current state of play: Monitoring, Traffic Engineering, Failure Recovery, Centrally Controlled Architectures, Path Encoding, Network Programming, Performance Evaluation and Miscellaneous...Comment: SUBMITTED TO IEEE COMMUNICATIONS SURVEYS & TUTORIAL

Migration cost optimization for service provider legacy network migration to software-defined IPv6 network

This is the peer reviewed version of the following article: Dawadi, BR, Rawat, DB, Joshi, SR, Manzoni, P, Keitsch, MM. Migration cost optimization for service provider legacy network migration to software-defined IPv6 network. Int J Network Mgmt. 2021; 31:e2145, which has been published in final form at https://doi.org/10.1002/nem.2145. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.[EN] This paper studies a problem for seamless migration of legacy networks of Internet service providers to a software-defined networking (SDN)-based architecture along with the transition to the full adoption of the Internet protocol version 6 (IPv6) connectivity. Migration of currently running legacy IPv4 networks into such new approaches requires either upgrades or replacement of existing networking devices and technologies that are actively operating. The joint migration to SDN and IPv6 network is considered to be vital in terms of migration cost optimization, skilled human resource management, and other critical factors. In this work, we first present the approaches of SDN and IPv6 migration in service providers' networks. Then, we present the common concerns of IPv6 and SDN migration with joint transition strategies so that the cost associated with joint migration is minimized to lower than that of the individual migration. For the incremental adoption of software-defined IPv6 (SoDIP6) network with optimum migration cost, a greedy algorithm is proposed based on optimal path and the customer priority. Simulation and empirical analysis show that a unified transition planning to SoDIP6 network results in lower migration cost.U.S. National Science Foundation (NSF), Grant/Award Number: CNS 1650831 and HRD 1828811; ERASMUS+ KA107; Nepal Academy of Science and Technology (NAST); Norwegian University of Science and Technology; University Grant Commission (UGC), Nepal, Grant/Award Number: FRG/74_75/Engg-1Dawadi, BR.; Rawat, DB.; Joshi, SR.; Manzoni, P.; Keitsch, MM. (2021). Migration cost optimization for service provider legacy network migration to software-defined IPv6 network. International Journal of Network Management. 31(4):1-24. https://doi.org/10.1002/nem.2145S124314APNIC.IPv6 capability measurement.https://stats.labs.apnic.net/ipv6. Accessed April 22 2020.Google Incl. IPv6 user access status.https://www.google.com/intl/en/ipv6/statistics.html. Accessed February 16 2020.Rawat, D. B., & Reddy, S. R. (2017). Software Defined Networking Architecture, Security and Energy Efficiency: A Survey. IEEE Communications Surveys & Tutorials, 19(1), 325-346. doi:10.1109/comst.2016.2618874Dai, B., Xu, G., Huang, B., Qin, P., & Xu, Y. (2017). Enabling network innovation in data center networks with software defined networking: A survey. Journal of Network and Computer Applications, 94, 33-49. doi:10.1016/j.jnca.2017.07.004Kobayashi, M., Seetharaman, S., Parulkar, G., Appenzeller, G., Little, J., van Reijendam, J., … McKeown, N. (2014). Maturing of OpenFlow and Software-defined Networking through deployments. Computer Networks, 61, 151-175. doi:10.1016/j.bjp.2013.10.011Gumaste, A., Sharma, V., Kakadia, D., Yates, J., Clauberg, A., & Voltolini, M. (2017). SDN Use Cases for Service Provider Networks: Part 2. IEEE Communications Magazine, 55(4), 62-63. doi:10.1109/mcom.2017.7901478Dawadi, B. R., Rawat, D. B., & Joshi, S. R. (2019). Software Defined IPv6 Network: A New Paradigm for Future Networking. Journal of the Institute of Engineering, 15(2), 1-13. doi:10.3126/jie.v15i2.27636Shah, J. L., Bhat, H. F., & Khan, A. I. (2019). Towards IPv6 Migration and Challenges. International Journal of Technology Diffusion, 10(2), 83-96. doi:10.4018/ijtd.2019040105Rojas, E., Doriguzzi-Corin, R., Tamurejo, S., Beato, A., Schwabe, A., Phemius, K., & Guerrero, C. (2018). Are We Ready to Drive Software-Defined Networks? A Comprehensive Survey on Management Tools and Techniques. ACM Computing Surveys, 51(2), 1-35. doi:10.1145/3165290Contreras, L. M., Doolan, P., Lønsethagen, H., & López, D. R. (2015). Operational, organizational and business challenges for network operators in the context of SDN and NFV. Computer Networks, 92, 211-217. doi:10.1016/j.comnet.2015.07.016Amin, R., Reisslein, M., & Shah, N. (2018). Hybrid SDN Networks: A Survey of Existing Approaches. IEEE Communications Surveys & Tutorials, 20(4), 3259-3306. doi:10.1109/comst.2018.2837161Audi Marc Amjad A.The Advancement in Information and Communication Technologies (ICT) and Economic Development: A Panel Analysis. MPRA.https://mpra.ub.uni-muenchen.de/93476/. Published 2019. Accessed November 29 2019.Main, A., Zakaria, N. A., & Yusof, R. (2015). Organisation Readiness Factors Towards IPv6 Migration: Expert Review. Procedia - Social and Behavioral Sciences, 195, 1882-1889. doi:10.1016/j.sbspro.2015.06.427Dawadi, B. R., Rawat, D. B., Joshi, S. R., & Baral, D. S. (2019). Affordable Broadband with Software Defined IPv6 Network for Developing Rural Communities. Applied System Innovation, 3(1), 4. doi:10.3390/asi3010004Nikkhah, M. (2016). Maintaining the progress of IPv6 adoption. Computer Networks, 102, 50-69. doi:10.1016/j.comnet.2016.02.027Dell, P. (2018). On the dual-stacking transition to IPv6: A forlorn hope? Telecommunications Policy, 42(7), 575-581. doi:10.1016/j.telpol.2018.04.005GilliganRE NordmarkE GilliganRE et alBasic Transition Mechanisms for IPv6 Hosts and Routers.2000.Cui, Y., Dong, J., Wu, P., Wu, J., Metz, C., Lee, Y. L., & Durand, A. (2013). Tunnel-Based IPv6 Transition. IEEE Internet Computing, 17(2), 62-68. doi:10.1109/mic.2012.63BlanchetM ParentF.IPv6 Tunnel Broker with the Tunnel Setup Protocol (TSP).2010.HuitemaC.Teredo: Tunneling IPv6 over UDP through Network Address Translations (NATs) RFC 4380.2006.CarpenterB MooreK.Connection of IPv6 domains via IPv4 clouds.2001.JungC CarpenterBE.Transmission of IPv6 over IPv4 Domains without Explicit Tunnels.1999.CuiY WuJ LeeY WuP VautrinO.Public IPv4‐over‐IPv6 access Network2013.CuiY SunQ LeeYL TsouT FarrerI BoucadairM.Lightweight 4over6: an extension to the dual‐stack lite Architecture2015.TemplinF GleesonT TalwarM ThalerD.Intra‐Site Automatic Tunnel Addressing Protocol (ISATAP) RFC 5214.2008.DurandA DromsR WoodyattJ LeeY.RFC 6333: Dual‐Stack Lite Broadband Deployments Following IPv4 Exhaustion. IETF Aug.2011.BaoC DecW LiX TroanO MatsushimaS MurakamiT.Mapping of Address and Port with Encapsulation (MAP‐E). IETF Internet Draft.2015.TownsleyW TroanO.IPv6 Rapid Deployment on IPv4 Infrastructures (6rd)‐‐Protocol Specification.2010.ChenM ChenG JiangS LeeY DespresR PennoR.IPv4 Residual Deployment via IPv6‐A Stateless Solution (4rd).2015.WuP CuiY XuM et alPET: Prefixing encapsulation and translation for IPv4‐IPv6 coexistence. In: 2010IEEE Global Telecommunications Conference GLOBECOM2010. 2010:1–5.LiX BaoC ChenM ZhangH WuJ.IVI translation design and deployment for the IPv4/IPv6 coexistence and transition.IETF RFC6219 Internet Eng Task Force Fremont CA.2011.Bagnulo, M., Garcia-Martinez, A., & Van Beijnum, I. (2012). The NAT64/DNS64 tool suite for IPv6 transition. IEEE Communications Magazine, 50(7), 177-183. doi:10.1109/mcom.2012.6231295BagnuloM SullivanA MatthewsP VanBeijnumI.DNS64: DNS extensions for network address translation from IPv6 clients to IPv4 servers RFC 6147.2011.LiuD DengH.NAT46 Considerations.2010.MawatariM KawashimaM ByrneC.464XLAT: Combination of stateful and stateless translation. IETF Internet‐Draft.2013.PerreaultS YamagataI MiyakawaS NakagawaA.Common Requirements for Carrier‐Grade NATs (CGNs) RFC6888.2013.YamaguchiJ ShirasakiY NakagawaA AshidaH.Nat444 addressing models. Req Comments Draft Internet Eng Task Force.2012.ChenG CaoZ XieC BinetD.NAT64 Deployment Options and Experience RFC 7269.2014.LiX BaoC DecW TroanO MatsushimaS MurakamiT.Mapping of Address and Port using Translation (MAP‐T) RFC 7599. IETF Internet Draft.2013.Wu, P., Cui, Y., Wu, J., Liu, J., & Metz, C. (2013). Transition from IPv4 to IPv6: A State-of-the-Art Survey. IEEE Communications Surveys & Tutorials, 15(3), 1407-1424. doi:10.1109/surv.2012.110112.00200Hernandez-Valencia, E., Izzo, S., & Polonsky, B. (2015). How will NFV/SDN transform service provider opex? IEEE Network, 29(3), 60-67. doi:10.1109/mnet.2015.7113227BogineniK et alThe Open Networking Lab (ON.Lab). Introducing ONOS—a SDN network operating system for Service Providers.White Pap.2014;1:14.http://onosproject.org/wp-content/uploads/2014/11/Whitepaper-ONOS-final.pdfTR‐506 O ONF TR‐506.SDN Migration Considerations and Use Cases.2014.https://www.opennetworking.org/wp-content/uploads/2014/10/sb-sdn-migration-use-cases.pdfRisdiantoAC LingTC TsaiP YangC KimJ.Leveraging open‐source software for federated multisite SDN‐cloud playground. In: 2016 IEEE NetSoft Conference and Workshops (NetSoft). ;2016:423‐427.https://doi.org/10.1109/NETSOFT.2016.7502479GalizaH SchwarzM BezerraJ IbarraJ.Moving an ip network to sdn: a global use case deployment experience at amlight. In:Anais Do WPEIF2016Workshop de Pesquisa Experimental Da Internet Do Futuro: 15.LevinD CaniniM SchmidS SchaffertF Feldmann A.Panopticon: Reaping the Benefits of Incremental {SDN} Deployment in Enterprise Networks. In: 2014 {USENIX} Annual Technical Conference ({USENIX}{ATC} 14). ;2014:333–345.Vissicchio, S., Tilmans, O., Vanbever, L., & Rexford, J. (2015). Central Control Over Distributed Routing. ACM SIGCOMM Computer Communication Review, 45(4), 43-56. doi:10.1145/2829988.2787497Huang, X., Cheng, S., Cao, K., Cong, P., Wei, T., & Hu, S. (2019). A Survey of Deployment Solutions and Optimization Strategies for Hybrid SDN Networks. IEEE Communications Surveys & Tutorials, 21(2), 1483-1507. doi:10.1109/comst.2018.2871061Csikor, L., Szalay, M., Retvari, G., Pongracz, G., Pezaros, D. P., & Toka, L. (2020). Transition to SDN is HARMLESS: Hybrid Architecture for Migrating Legacy Ethernet Switches to SDN. IEEE/ACM Transactions on Networking, 28(1), 275-288. doi:10.1109/tnet.2019.2958762Dawadi, B. R., Rawat, D. B., Joshi, S. R., & Manzoni, P. (2020). Legacy Network Integration with SDN-IP Implementation towards a Multi-Domain SoDIP6 Network Environment. Electronics, 9(9), 1454. doi:10.3390/electronics9091454HongDK MaY BanerjeeS MaoZM.Incremental deployment of SDN in hybrid enterprise and ISP networks. In: Proceedings of the Symposium on SDN Research. 2016:1‐7.Karakus, M., & Durresi, A. (2018). Economic Viability of Software Defined Networking (SDN). Computer Networks, 135, 81-95. doi:10.1016/j.comnet.2018.02.015Rizvi, S. N., Raumer, D., Wohlfart, F., & Carle, G. (2015). Towards carrier grade SDNs. Computer Networks, 92, 218-226. doi:10.1016/j.comnet.2015.09.029Sezer, S., Scott-Hayward, S., Chouhan, P., Fraser, B., Lake, D., Finnegan, J., … Rao, N. (2013). Are we ready for SDN? Implementation challenges for software-defined networks. IEEE Communications Magazine, 51(7), 36-43. doi:10.1109/mcom.2013.6553676Raza, M. H., Sivakumar, S. C., Nafarieh, A., & Robertson, B. (2014). A Comparison of Software Defined Network (SDN) Implementation Strategies. Procedia Computer Science, 32, 1050-1055. doi:10.1016/j.procs.2014.05.532Goransson, P., & Black, C. (2014). SDN in the Data Center. Software Defined Networks, 145-167. doi:10.1016/b978-0-12-416675-2.00007-3AT & T.Introducing the “User Defined Network Cloud”.https://about.att.com/newsroom/introducing_the_user_defined_network_cloud.html. Published 2014. Accessed August 12 2018.CsikorL TokaL SzalayM PongráczG PezarosDP RétváriG.HARMLESS: Cost‐effective transitioning to SDN for small enterprises. In: 2018 IFIP Networking Conference (IFIP Networking) and Workshops. ; 2018:1–9.ON.LAB.Driving SDN Adoption in Service Provider Networks.2014.http://onosproject.org/wp-content/uploads/2014/11/Whitepaper-Service-Provider-SDN-final.pdfBabikerH NikolovaI ChittimaneniKKK.Deploying IPv6 in the Google Enterprise Network. Lessons learned. In:LISA'11 Proceedings of the 25th International Conference on Large Installation System Administration 2011:10.ParkHW HwangISLS LeeJR.Study on the sustainable migration to software defined network for nation‐wide R&E network.Proc—201610th Int Conf Innov Mob Internet Serv Ubiquitous Comput IMIS2016.2016:392‐396.https://doi.org/10.1109/IMIS.2016.117CariaM JukanA HoffmannM.A performance study of network migration to SDN‐enabled traffic engineering. In:2013 IEEE Global Communications Conference (GLOBECOM); 2013:1391‐1396.Sandhya, Sinha, Y., & Haribabu, K. (2017). A survey: Hybrid SDN. Journal of Network and Computer Applications, 100, 35-55. doi:10.1016/j.jnca.2017.10.003LENCSE, G., & KADOBAYASHI, Y. (2019). Comprehensive Survey of IPv6 Transition Technologies: A Subjective Classification for Security Analysis. IEICE Transactions on Communications, E102.B(10), 2021-2035. doi:10.1587/transcom.2018ebr0002NIST.Technical and Economic Assessment of Internet Protocol Verson 6 9IPv6.2006.https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=912231NIST.IPv6 Economic Impact Assessment. NY;2005.https://www.nist.gov/system/files/documents/director/planning/report05-2.pdfDasT CariaM JukanA HoffmannM.A Techno‐economic Analysis of Network Migration to Software‐Defined Networking.2013.http://arxiv.org/abs/1310.0216Das, T., Drogon, M., Jukan, A., & Hoffmann, M. (2014). Study of Network Migration to New Technologies Using Agent-Based Modeling Techniques. Journal of Network and Systems Management, 23(4), 920-949. doi:10.1007/s10922-014-9327-3Yuan, T., Huang, X., Ma, M., & Zhang, P. (2017). Migration to software-defined networks: The customers’ view. China Communications, 14(10), 1-11. doi:10.1109/cc.2017.8107628TürkS LiuY RadekeR LehnertR.Network migration optimization using genetic algorithms. In: Meeting of the European Network of Universities and Companies in Information and Communication Engineering. 2012:112–123.Türk, S. (2014). Network migration optimization using meta-heuristics. AEU - International Journal of Electronics and Communications, 68(7), 584-586. doi:10.1016/j.aeue.2014.04.005TürkS RadekeR LehnertR.Network migration using ant colony optimization. In:2010 9th Conference of Telecommunication Media and Internet; 2010:1–6.TurkS LiuH RadekeR LehnertR.Improving network migration optimization utilizing memetic algorithms. In: Global Information Infrastructure Symposium—GIIS 2013. 2013:1‐8.https://doi.org/10.1109/GIIS.2013.6684345ShayaniD Mas MachucaC JagerM GladischA.Cost analysis of the service migration problem between communication platforms. In: NOMS 2008–2008 IEEE Network Operations and Management Symposium. 2008:734‐737.https://doi.org/10.1109/NOMS.2008.4575201Shayani, D., Mas Machuca, C., & Jager, M. (2010). A techno-economic approach to telecommunications: the case of service migration. IEEE Transactions on Network and Service Management, 7(2), 96-106. doi:10.1109/tnsm.2010.06.i8p0297Naudts, B., Kind, M., Verbrugge, S., Colle, D., & Pickavet, M. (2015). How can a mobile service provider reduce costs with software-defined networking? International Journal of Network Management, 26(1), 56-72. doi:10.1002/nem.1919Dawadi, B. R., Rawat, D. B., & Joshi, S. R. (2019). Evolutionary Dynamics of Service Provider Legacy Network Migration to Software Defined IPv6 Network. Advances in Intelligent Systems and Computing, 245-257. doi:10.1007/978-3-030-19861-9_24BezrukVM ChebotarovaD V KaliuzhniyNM QiangG YuZ.Optimization and mathematical modeling of communication networks.Monogr—Open Electron Arch Kharkov Natl Univ Radio Electron.2019.http://openarchive.nure.ua/handle/document/10121Omantek. Open‐AudIT: Device Information Management System.https://www.open-audit.org/about.phpNet. Inventory Advisor.Network Inventory Software.https://www.network-inventory-advisor.com/. Accessed December 3 2019.OCS‐Inventory. OCSING: Open Inventory Next Generation.https://ocsinventory-ng.org/?lang=en. Accessed December 3 2019.Group MW. Migration Use Cases and Methods Migration Working Group Open Networking Foundation Use Cases and Migration Methods 2.www.opennetworking.orgSohn, S. Y., & Kim, Y. (2011). Economic Evaluation Model for International Standardization of Correlated Technologies. IEEE Transactions on Engineering Management, 58(2), 189-198. doi:10.1109/tem.2010.2058853ONF TS‐006.OpenFlow 1.3 Switch Specification.2012.https://www.opennetworking.org/wp-content/uploads/2014/10/openflow-spec-v1.3.0.pdfMahlooM MontiP ChenJ WosinskaL.Cost modeling of backhaul for mobile networks. In: 2014 IEEE International Conference on Communications Workshops (ICC). 2014:397–402.https://doi.org/10.1109/ICCW.2014.6881230DawadiBR RawatDB JoshiSR KeitschMM.Joint cost estimation approach for service provider legacy network migration to unified software defined IPv6 network. In: Proceedings—4th IEEE International Conference on Collaboration and Internet Computing CIC 2018.2018.https://doi.org/10.1109/CIC.2018.00056FengT BiJ.OpenRouteFlow: Enable legacy router as a software‐defined routing service for hybrid SDN. In: 2015 24th International Conference on Computer Communication and Networks (ICCCN).2015:1–8.MachucaCM EberspaecherJ JägerM GladischA.Service migration cost modeling. In: 2007 ITG Symposium on Photonic Networks. ; 2007:1–5.Poularakis, K., Iosifidis, G., Smaragdakis, G., & Tassiulas, L. (2019). Optimizing Gradual SDN Upgrades in ISP Networks. IEEE/ACM Transactions on Networking, 27(1), 288-301. doi:10.1109/tnet.2018.2890248Galán-Jiménez, J. (2017). Legacy IP-upgraded SDN nodes tradeoff in energy-efficient hybrid IP/SDN networks. Computer Communications, 114, 106-123. doi:10.1016/j.comcom.2017.10.010Vizarreta, P., Trivedi, K., Helvik, B., Heegaard, P., Blenk, A., Kellerer, W., & Mas Machuca, C. (2018). Assessing the Maturity of SDN Controllers With Software Reliability Growth Models. IEEE Transactions on Network and Service Management, 15(3), 1090-1104. doi:10.1109/tnsm.2018.2848105Salsano, S., Ventre, P. L., Lombardo, F., Siracusano, G., Gerola, M., Salvadori, E., … Prete, L. (2016). Hybrid IP/SDN Networking: Open Implementation and Experiment Management Tools. IEEE Transactions on Network and Service Management, 13(1), 138-153. doi:10.1109/tnsm.2015.2507622DasT GurusamyM.Resilient Controller Placement in Hybrid SDN/Legacy Networks. In: 2018 IEEE Global Communications Conference (GLOBECOM). 2018:1–7.DasT GurusamyM.INCEPT: INcremental ControllEr PlacemenT in software defined networks. In: 2018 27th International Conference on Computer Communication and Networks (ICCCN). 2018:1–6

A Survey on the Contributions of Software-Defined Networking to Traffic Engineering

Since the appearance of OpenFlow back in 2008, software-defined networking (SDN) has gained momentum. Although there are some discrepancies between the standards developing organizations working with SDN about what SDN is and how it is defined, they all outline traffic engineering (TE) as a key application. One of the most common objectives of TE is the congestion minimization, where techniques such as traffic splitting among multiple paths or advanced reservation systems are used. In such a scenario, this manuscript surveys the role of a comprehensive list of SDN protocols in TE solutions, in order to assess how these protocols can benefit TE. The SDN protocols have been categorized using the SDN architecture proposed by the open networking foundation, which differentiates among data-controller plane interfaces, application-controller plane interfaces, and management interfaces, in order to state how the interface type in which they operate influences TE. In addition, the impact of the SDN protocols on TE has been evaluated by comparing them with the path computation element (PCE)-based architecture. The PCE-based architecture has been selected to measure the impact of SDN on TE because it is the most novel TE architecture until the date, and because it already defines a set of metrics to measure the performance of TE solutions. We conclude that using the three types of interfaces simultaneously will result in more powerful and enhanced TE solutions, since they benefit TE in complementary ways.European Commission through the Horizon 2020 Research and Innovation Programme (GN4) under Grant 691567 Spanish Ministry of Economy and Competitiveness under the Secure Deployment of Services Over SDN and NFV-based Networks Project S&NSEC under Grant TEC2013-47960-C4-3-

Internet of Things From Hype to Reality

The Internet of Things (IoT) has gained significant mindshare, let alone attention, in academia and the industry especially over the past few years. The reasons behind this interest are the potential capabilities that IoT promises to offer. On the personal level, it paints a picture of a future world where all the things in our ambient environment are connected to the Internet and seamlessly communicate with each other to operate intelligently. The ultimate goal is to enable objects around us to efficiently sense our surroundings, inexpensively communicate, and ultimately create a better environment for us: one where everyday objects act based on what we need and like without explicit instructions

Security and Privacy of IP-ICN Coexistence: A Comprehensive Survey

Internet usage has changed from its first design. Hence, the current Internet must cope with some limitations, including performance degradation, availability of IP addresses, and multiple security and privacy issues. Nevertheless, to unsettle the current Internet's network layer i.e., Internet Protocol with ICN is a challenging, expensive task. It also requires worldwide coordination among Internet Service Providers , backbone, and Autonomous Services. Additionally, history showed that technology changes e.g., from 3G to 4G, from IPv4 to IPv6 are not immediate, and usually, the replacement includes a long coexistence period between the old and new technology. Similarly, we believe that the process of replacement of the current Internet will surely transition through the coexistence of IP and ICN. Although the tremendous amount of security and privacy issues of the current Internet taught us the importance of securely designing the architectures, only a few of the proposed architectures place the security-by-design. Therefore, this article aims to provide the first comprehensive Security and Privacy analysis of the state-of-the-art coexistence architectures. Additionally, it yields a horizontal comparison of security and privacy among three deployment approaches of IP and ICN protocol i.e., overlay, underlay, and hybrid and a vertical comparison among ten considered security and privacy features. As a result of our analysis, emerges that most of the architectures utterly fail to provide several SP features including data and traffic flow confidentiality, availability and communication anonymity. We believe this article draws a picture of the secure combination of current and future protocol stacks during the coexistence phase that the Internet will definitely walk across