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Achieving high programmability has become an essential aim of network research due to the ever-increasing internet traffic. Software-Defined Network (SDN) is an emerging architecture aimed to address this need. However, maintaining accurate knowledge of the network after a failure is one of the largest challenges in the SDN. Motivated by this reality, this paper focuses on the use of self-healing properties to boost the SDN robustness. This approach, unlike traditional schemes, is not based on proactively configuring multiple (and memory-intensive) backup paths in each switch or performing a reactive and time-consuming routing computation at the controller level. Instead, the control paths are quickly recovered by local switch actions and subsequently optimized by global controller knowledge. Obtained results show that the proposed approach recovers the control topology effectively in terms of time and message load over a wide range of generated networks. Consequently, scalability issues of traditional fault recovery strategies are avoided.© 2015 Published by Elsevier Ltd.
Leonardo Ochoa-Aday; Cristina Cervelló-Pastor; Adriana Fernández-Fernández. Self-healing and SDN: bridging the gap. Digital Communications and Networks 2019, 6, 1 .
AMA StyleLeonardo Ochoa-Aday, Cristina Cervelló-Pastor, Adriana Fernández-Fernández. Self-healing and SDN: bridging the gap. Digital Communications and Networks. 2019; 6 (3):1.
Chicago/Turabian StyleLeonardo Ochoa-Aday; Cristina Cervelló-Pastor; Adriana Fernández-Fernández. 2019. "Self-healing and SDN: bridging the gap." Digital Communications and Networks 6, no. 3: 1.
Leonardo Ochoa-Aday; Cristina Cervello-Pastor; Adriana Fernandez-Fernandez. eTDP: Enhanced Topology Discovery Protocol for Software-Defined Networks. IEEE Access 2019, 7, 23471 -23487.
AMA StyleLeonardo Ochoa-Aday, Cristina Cervello-Pastor, Adriana Fernandez-Fernandez. eTDP: Enhanced Topology Discovery Protocol for Software-Defined Networks. IEEE Access. 2019; 7 ():23471-23487.
Chicago/Turabian StyleLeonardo Ochoa-Aday; Cristina Cervello-Pastor; Adriana Fernandez-Fernandez. 2019. "eTDP: Enhanced Topology Discovery Protocol for Software-Defined Networks." IEEE Access 7, no. : 23471-23487.
Autonomous response networks are becoming a reality thanks to recent advances in cloud computing, Network Function Virtualization (NFV) and Software-Defined Networking (SDN) technologies. These enhanced networks fully enable autonomous real-time management of virtualized infrastructures. In this context, one of the major challenges is how virtualized network resources can be effectively placed. Although this issue has been addressed before in cloud-based environments, it is not yet completely resolved for the online placement of virtual machines. For such a purpose, this paper proposes an online heuristic algorithm called Topology-Aware Placement of Virtual Network Functions (TAP-VNF) as a low-complexity solution for such dynamic infrastructures. As a complement, we provide a general formulation of the network function placement using the service function chaining concept. Furthermore, two metrics called consolidation and aggregation validate the efficiency of the proposal in the experimental simulations. We have compared our approach with optimal solutions, in terms of consolidation and aggregation ratios, showing a more suitable performance for dynamic cloud-based environments. The obtained results show that TAP-VNF also outperforms existing approaches based on traditional bin packing schemes.
Leonardo Ochoa-Aday; Cristina Cervelló-Pastor; Adriana Fernández-Fernández; Paola Grosso. An Online Algorithm for Dynamic NFV Placement in Cloud-Based Autonomous Response Networks. Symmetry 2018, 10, 163 .
AMA StyleLeonardo Ochoa-Aday, Cristina Cervelló-Pastor, Adriana Fernández-Fernández, Paola Grosso. An Online Algorithm for Dynamic NFV Placement in Cloud-Based Autonomous Response Networks. Symmetry. 2018; 10 (5):163.
Chicago/Turabian StyleLeonardo Ochoa-Aday; Cristina Cervelló-Pastor; Adriana Fernández-Fernández; Paola Grosso. 2018. "An Online Algorithm for Dynamic NFV Placement in Cloud-Based Autonomous Response Networks." Symmetry 10, no. 5: 163.
Adriana Fernández-Fernández; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday; Paola Grosso. An Online Power-Aware Routing in SDN with Congestion-Avoidance Traffic Reallocation. 2018 IFIP Networking Conference (IFIP Networking) and Workshops 2018, 1 .
AMA StyleAdriana Fernández-Fernández, Cristina Cervelló-Pastor, Leonardo Ochoa-Aday, Paola Grosso. An Online Power-Aware Routing in SDN with Congestion-Avoidance Traffic Reallocation. 2018 IFIP Networking Conference (IFIP Networking) and Workshops. 2018; ():1.
Chicago/Turabian StyleAdriana Fernández-Fernández; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday; Paola Grosso. 2018. "An Online Power-Aware Routing in SDN with Congestion-Avoidance Traffic Reallocation." 2018 IFIP Networking Conference (IFIP Networking) and Workshops , no. : 1.
This letter presents the design of a self-healing protocol for automatic discovery and maintenance of the network topology in software-defined networks. The proposed protocol integrates two enhanced features (i.e., layer two topology discovery and autonomic fault recovery) in a unified mechanism. This novel approach is validated through simulation experiments using OMNET++. Obtained results show that our protocol discovers and recovers the control topology efficiently in terms of time and message load over a wide range of generated networks.
Leonardo Ochoa-Aday; Cristina Cervello-Pastor; Adriana Fernandez-Fernandez. Self-Healing Topology Discovery Protocol for Software-Defined Networks. IEEE Communications Letters 2018, 22, 1070 -1073.
AMA StyleLeonardo Ochoa-Aday, Cristina Cervello-Pastor, Adriana Fernandez-Fernandez. Self-Healing Topology Discovery Protocol for Software-Defined Networks. IEEE Communications Letters. 2018; 22 (5):1070-1073.
Chicago/Turabian StyleLeonardo Ochoa-Aday; Cristina Cervello-Pastor; Adriana Fernandez-Fernandez. 2018. "Self-Healing Topology Discovery Protocol for Software-Defined Networks." IEEE Communications Letters 22, no. 5: 1070-1073.
The increasing power consumption and related environmental implications currently generated by large data networks have become a major concern over the last decade. Given the drastic traffic increase expected in 5G dense environments, the energy consumption problem becomes even more concerning and challenging. In this context, Software-Defined Networks (SDN), a key technology enabler for 5G systems, can be seen as an attractive solution. In these programmable networks, an energy-aware solution could be easily implemented leveraging the capabilities provided by control and data plane separation. This paper investigates the impact of energy-aware routing on network performance. To that end, we propose a novel energy-aware mechanism that reduces the number of active links in SDN with multiple controllers, considering in-band control traffic. The proposed strategy exploits knowledge of the network topology combined with traffic engineering techniques to reduce the overall power consumption. Therefore, two heuristic algorithms are designed: a static network configuration and a dynamic energy-aware routing. Significant values of switched-off links are reached in the simulations where real topologies and demands data are used. Moreover, the obtained results confirm that crucial network parameters such as control traffic delay, data path latency, link utilization and Ternary Content Addressable Memory (TCAM) occupation are affected by the performance-agnostic energy-aware model.
Adriana Fernández-Fernández; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday. Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems. Energies 2017, 10, 2132 .
AMA StyleAdriana Fernández-Fernández, Cristina Cervelló-Pastor, Leonardo Ochoa-Aday. Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems. Energies. 2017; 10 (12):2132.
Chicago/Turabian StyleAdriana Fernández-Fernández; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday. 2017. "Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems." Energies 10, no. 12: 2132.
Energy consumption is a key concern in the deployment and operation of current data networks, for which software-defined networks (SDNs) have become a promising alternative. Although several works have been proposed to improve the energy efficiency, these techniques may lead to performance degradations when QoS requirements are neglected. Inspired by this problem, this letter introduces a new routing strategy, jointly considering QoS requirements and energy awareness in SDN with in-band control traffic. To that end, we present a complete formulation of the optimization problem and implement a multi-objective evolutionary algorithm. Simulation results validate the performance improvement on critical network parameters.
Adriana Fernandez-Fernandez; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday. A Multi-Objective Routing Strategy for QoS and Energy Awareness in Software-Defined Networks. IEEE Communications Letters 2017, 21, 2416 -2419.
AMA StyleAdriana Fernandez-Fernandez, Cristina Cervelló-Pastor, Leonardo Ochoa-Aday. A Multi-Objective Routing Strategy for QoS and Energy Awareness in Software-Defined Networks. IEEE Communications Letters. 2017; 21 (11):2416-2419.
Chicago/Turabian StyleAdriana Fernandez-Fernandez; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday. 2017. "A Multi-Objective Routing Strategy for QoS and Energy Awareness in Software-Defined Networks." IEEE Communications Letters 21, no. 11: 2416-2419.
The growing energy consumption of communication networks has attracted the attention of the networking researchers in the last decade. In this context, SDN allows a flexible programmability, suitable for the power-consumption optimization problem. In this paper we present an energy-aware routing approach which minimizes the number of links used to satisfy a given traffic demand. Different from previous works, we optimize energy consumption in OpenFlow networks with in-band control traffic. To this end, we start formulating an optimization model that considers routing requirements for control and data plane communications. To reduce the complexity of our model in large-scale topologies, a heuristic algorithm is developed as well. Although it is not widely researched, except for quantitative and heuristic results, we also derive a simple and efficient algorithm for the best controller placement in terms of energy saving. Simulation results confirm that the proposed solution enables the achievement of significant energy savings.
Adriana Fernandez-Fernandez; Cristina Cervello-Pastor; Leonardo Ochoa-Aday. Improved Energy-Aware Routing Algorithm in Software-Defined Networks. 2016 IEEE 41st Conference on Local Computer Networks (LCN) 2016, 196 -199.
AMA StyleAdriana Fernandez-Fernandez, Cristina Cervello-Pastor, Leonardo Ochoa-Aday. Improved Energy-Aware Routing Algorithm in Software-Defined Networks. 2016 IEEE 41st Conference on Local Computer Networks (LCN). 2016; ():196-199.
Chicago/Turabian StyleAdriana Fernandez-Fernandez; Cristina Cervello-Pastor; Leonardo Ochoa-Aday. 2016. "Improved Energy-Aware Routing Algorithm in Software-Defined Networks." 2016 IEEE 41st Conference on Local Computer Networks (LCN) , no. : 196-199.
The growing energy consumption of communication networks has attracted the attention of the networking researchers in the last decade. In this context, the new architecture of Software-Defined Networks (SDN) allows a flexible programmability, suitable for the power-consumption optimization problem. In this paper we address the issue of designing a novel distributed routing algorithm that optimizes the power consumption in large scale SDN with multiple domains. The solution proposed, called DEAR (Distributed Energy-Aware Routing), tackles the problem of minimizing the number of links that can be used to satisfy a given data traffic demand under performance constraints such as control traffic delay and link utilization. To this end, we present a complete formulation of the optimization problem that considers routing requirements for control and data plane communications. Simulation results confirm that the proposed solution enables the achievement of significant energy savings.
Adriana Fernández-Fernández; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday. Energy-Aware Routing in Multiple Domains Software-Defined Networks. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 2016, 5, 13 -19.
AMA StyleAdriana Fernández-Fernández, Cristina Cervelló-Pastor, Leonardo Ochoa-Aday. Energy-Aware Routing in Multiple Domains Software-Defined Networks. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal. 2016; 5 (3):13-19.
Chicago/Turabian StyleAdriana Fernández-Fernández; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday. 2016. "Energy-Aware Routing in Multiple Domains Software-Defined Networks." ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal 5, no. 3: 13-19.
Adriana Fernández-Fernández; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday. A Distributed Energy-Aware Routing Algorithm in Software-Defined Networks. Advances in Intelligent Systems and Computing 2016, 369 -373.
AMA StyleAdriana Fernández-Fernández, Cristina Cervelló-Pastor, Leonardo Ochoa-Aday. A Distributed Energy-Aware Routing Algorithm in Software-Defined Networks. Advances in Intelligent Systems and Computing. 2016; ():369-373.
Chicago/Turabian StyleAdriana Fernández-Fernández; Cristina Cervelló-Pastor; Leonardo Ochoa-Aday. 2016. "A Distributed Energy-Aware Routing Algorithm in Software-Defined Networks." Advances in Intelligent Systems and Computing , no. : 369-373.
To ensure a proficient topology discovery service in Software-Defined Networks (SDN), we propose a simple agents-based mechanism to improve the efficiency of the topology discovery process. In this work, an algorithm for a novel Topology Discovery Protocol (SD-TDP) is designed. This protocol will be implemented in each switch through an agent. Thus, this approach will provide a distributed solution to solve the problem of network topology discovery in a more simple and efficient way.
Leonardo Ochoa-Aday; Cristina Cervelló-Pastor; Adriana Fernández-Fernández. A Distributed Algorithm for Topology Discovery in Software-Defined Networks. Advances in Intelligent Systems and Computing 2016, 363 -367.
AMA StyleLeonardo Ochoa-Aday, Cristina Cervelló-Pastor, Adriana Fernández-Fernández. A Distributed Algorithm for Topology Discovery in Software-Defined Networks. Advances in Intelligent Systems and Computing. 2016; ():363-367.
Chicago/Turabian StyleLeonardo Ochoa-Aday; Cristina Cervelló-Pastor; Adriana Fernández-Fernández. 2016. "A Distributed Algorithm for Topology Discovery in Software-Defined Networks." Advances in Intelligent Systems and Computing , no. : 363-367.