Software Defined Networks based Smart Grid Communication: A Comprehensive Survey

The current power grid is no longer a feasible solution due to ever-increasing user demand of electricity, old infrastructure, and reliability issues and thus require transformation to a better grid a.k.a., smart grid (SG). The key features that distinguish SG from the conventional electrical power grid are its capability to perform two-way communication, demand side management, and real time pricing. Despite all these advantages that SG will bring, there are certain issues which are specific to SG communication system. For instance, network management of current SG systems is complex, time consuming, and done manually. Moreover, SG communication (SGC) system is built on different vendor specific devices and protocols. Therefore, the current SG systems are not protocol independent, thus leading to interoperability issue. Software defined network (SDN) has been proposed to monitor and manage the communication networks globally. This article serves as a comprehensive survey on SDN-based SGC. In this article, we first discuss taxonomy of advantages of SDNbased SGC.We then discuss SDN-based SGC architectures, along with case studies. Our article provides an in-depth discussion on routing schemes for SDN-based SGC. We also provide detailed survey of security and privacy schemes applied to SDN-based SGC. We furthermore present challenges, open issues, and future research directions related to SDN-based SGC.Comment: Accepte

SDN-based virtual machine management for cloud data centers

Software-Defined Networking (SDN) is an emerging paradigm to logically centralize the network control plane and automate the configuration of individual network elements. At the same time, in Cloud Data Centers (DCs), even though network and server resources converge over the same infrastructure and typically over a single administrative entity, disjoint control mechanisms are used for their respective management. In this paper, we propose a unified server-network control mechanism for converged ICT environments. We present a SDN-based orchestration framework for live Virtual Machine (VM) management where server hypervisors exploit temporal network information to migrate VMs and minimize the network-wide communication cost of the resulting traffic dynamics. A prototype implementation is presented and Mininet is used to evaluate the impact of diverse orchestration algorithms

Energy Savings Consumption on Public Wireless Networks by SDN Management

[EN] In order to use the energy more efficiently, network algorithms and protocols must incorporate in their decision mechanisms some functions focused on saving energy. In this paper we have studied different features and parameters of wireless networks to establish their relationship with the power consumption. First, we have analyzed the variation of power consumption of access points (APs) in function of the antenna transmission power. Second, we have collected user information from real public wireless network to determine the real requirements of network resources in real time basis. Based on this information, a new extension for Openflow protocol over Software-Defined Networking (SDN) networks will be proposed to manage the wireless network, with the aim to keep the optimal network performance with minimal power consumption. This extension introduces new Openflow messages and a new function to be incorporated in SDN controllers and Openflow enabled devices. The proposal will be validated by appropriated simulations based on real scenarios: a shopping center and a municipal wireless network.This work has been supported by the Ministerio de Economía y Competitividad , through the Convocatoria 2014. Proyectos I + D - Programa Estatal de Investigación Científica y Técnica de Excelencia in the Subprograma Estatal de Generación de Conocimiento , Project TIN2014-57991-C3-1-P and the Programa para la Formación de Personal Investigador (FPI-2015-S2-884) by the Universitat Politècnica de València .Jimenez, JM.; Romero Martínez, JO.; Lloret, J.; Díaz Santos, JR. (2019). Energy Savings Consumption on Public Wireless Networks by SDN Management. Mobile Networks and Applications. 24(2):667-677. https://doi.org/10.1007/s11036-016-0784-7S667677242Khoa Nguyen K, Jaumard B (2009) Routing engine architecture for next generation routers: evolutional trends. 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Accessed 3 Nov 2016McKeown N, Anderson T, Balakrishnan H, Parulkar G, Peterson L, Rexford J, Shenker S, Turner J (2008) OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput Commun Rev 38(2):69–74Dely P, Kassler A, Bayer N (2011) OpenFlow for wireless mesh networks. In 2011 proceedings of 20th international conference on computer communications and networks (ICCCN), July 31-Aug 4 2011, pp 1–6. doi: 10.1109/ICCCN.2011.6006100Guidance document_Lot 26_networked standby_clean FIN.pdf. Available at https://ec.europa.eu/energy/sites/ener/files/documents/Guidance%20document_Lot%2026_Networked%20Standby_clean%20FIN.pdf . Accessed 3 Nov 2016Yang H, Zhang J, Zhao Y, Ji Y, Han J, Lin Y, Qiu YL (2014) Time-aware software defined networking for OpenFlow-based datacenter optical networks. Netw Protocol Algorithm 6(4):77–91Jimenez JM, Romero O, Rego A, Dilendra A, Lloret J (2015) Study of multimedia delivery over software defined networks. Netw Protocol Algorithm 7(4):37–62Jimenez JM, Romero O, Rego A, Dilendra A, Lloret J (2016) Performance study of a software defined network emulator. The twelfth advanced international conference on telecommunications (AICT 2016), May 22–26, 2016, Valencia, SpainMininet An Instant Virtual Network on your Laptop (or other PC) (2016). Available at http://mininet.org /. Accessed 3 Nov 2016Nedevschi S, Popa L, Iannaccone G, Ratnasamy S, Wetherall D (2008) Reducing network energy consumption via sleeping and rate-adaptation. Proceeding NSDI’08 proceedings of the 5th USENIX symposium on networked systems design and implementation, April 16–18, 2008, San Francisco (USA), pp 323–336Feeney LM, Nilsson M (2001) Investigating the energy consumption of a wireless network interface in an Ad Hoc networking environment. In: proceedings of the twentieth annual joint conference of the IEEE computer and communications societies, INFOCOM 2001, vol 3, Anchorage, Alaska, April 22–26, pp. 1548–1557. IEEE (2001)Andrade-Morelli S, Ruiz-Sanchez E, Granell E, Lloret J (2012) Energy consumption of wireless network access points. In second international conference, Gree Nets 2012, Gandia, Spain, October 25–26, 2012, pp 81–91. doi: 10.1007/978–3–642-37977-2_8Chen T, Yang Y, Zhang H, Haesik K, Horneman K (2011) Network energy saving technologies for green wireless access networks. IEEE Wirel Commun 18(5):30–38Tapia A, Maitland C, Stone M (2006) Making IT work for municipalities: Buildingmunicipal wireless networks. Gov Inf Q 23(3):359–380van Drunen R, Koolhaas J, Schuurmans H, Vijn M (2003) Building a wireless community network in the netherland. In: USENIX 2003/Freenix Annual technical conference proceedings, San Antonio, Texas, USA, June 9–14, pp 219–230Vu TH, Nam PN, Thanh T, Hung LT, Van LA, Linh ND, Thien TD, Thanh NH (2012) Power aware OpenFlow switch extension for energy saving in data centers. In international conference on advanced technologies for communications, ATC 2012, IEEE, Hanoi, Vietnam, 10–12 Oct 2012, pp 309–313. doi: 10.1109/ATC.2012.6404282Kaup F, Melnikowitsch S, Hausheer D (2014) Measuring and modeling the power consumption of OpenFlow switches. In IEEE international conference on network and service management (CNSM), Rio de Janeiro, Brazil, 17–21 Nov 2014, pp 181–186DATA SHEET. ARUBA 103 SERIES ACCESS POINTS (2016). Available at: http://www.arubanetworks.com/assets/ds/DS_AP103Series.pdf . Accessed 3 Nov 2016DATA SHEET. ARUBA RAP-100 SERIES REMOTE ACCESS POINTS (2016). Available at: http://www.arubanetworks.com/assets/ds/DS_RAP-100.pdf . Accessed 3 Nov 2016Cisco Aironet 1240AG Series 802.11A/B/G Access Point Data Sheet (2016). Available at: http://www.cisco.com/c/en/us/products/collateral/collaboration-endpoints/unified-ip-phone-7900-series/product_data_sheet0900aecd8031c844.html . 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Resource Orchestration in Softwarized Networks

Network softwarization is an emerging research area that is envisioned to revolutionize the way network infrastructure is designed, operated, and managed today. Contemporary telecommunication networks are going through a major transformation, and softwarization is recognized as a crucial enabler of this transformation by both academia and industry. Softwarization promises to overcome the current ossified state of Internet network architecture and evolve towards a more open, agile, flexible, and programmable networking paradigm that will reduce both capital and operational expenditures, cut-down time-to-market of new services, and create new revenue streams. Software-Defined Networking (SDN) and Network Function Virtualization (NFV) are two complementary networking technologies that have established themselves as the cornerstones of network softwarization. SDN decouples the control and data planes to provide enhanced programmability and faster innovation of networking technologies. It facilitates simplified network control, scalability, availability, flexibility, security, cost-reduction, autonomic management, and fine-grained control of network traffic. NFV utilizes virtualization technology to reduce dependency on underlying hardware by moving packet processing activities from proprietary hardware middleboxes to virtualized entities that can run on commodity hardware. Together SDN and NFV simplify network infrastructure by utilizing standardized and commodity hardware for both compute and networking; bringing the benefits of agility, economies of scale, and flexibility of data centers to networks. Network softwarization provides the tools required to re-architect the current network infrastructure of the Internet. However, the effective application of these tools requires efficient utilization of networking resources in the softwarized environment. Innovative techniques and mechanisms are required for all aspects of network management and control. The overarching goal of this thesis is to address several key resource orchestration challenges in softwarized networks. The resource allocation and orchestration techniques presented in this thesis utilize the functionality provided by softwarization to reduce operational cost, improve resource utilization, ensure scalability, dynamically scale resource pools according to demand, and optimize energy utilization