DynPaC: A Path Computation Framework for SDN

Mendiola, Alaitz; Astorga, Jasone; Jacob, Eduardo; Higuero, Marivi; Urtasun, Aitor; Fuentes, Victor

doi:10.1109/ewsdn.2015.77

Cited by 12 publications

(8 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In the control plane, the SDN controller runs the Disjoint Path-Computing (DisPaC) application, which is responsible for the forwarding in the core network. DisPaC is based on the path computation element (PCE) described in [13]. The PCE calculates disjoint paths between two switches-edge switches in Figure 3-and the service manager installs the correct flow rules in the OF switches.…”

Section: Sdn Path-computing Applicationmentioning

confidence: 99%

An Adaptable Train-to-Ground Communication Architecture Based on the 5G Technological Enabler SDN

2019

View full text Add to dashboard Cite

Railway communications are closely impacted by the evolution and availability of new wireless communication technologies. Traditionally, the critical nature of railway services, the long lifecycle of rolling stock, and their certification processes challenge the adoption of the latest communication technologies. A current railway telecom trend to solve this problem is to design a flexible and adaptable communication architecture that enables the detachment of the railway services—at the application layer—and the access technologies underneath, such as 5G and beyond. One of the enablers of this detachment approach is software-defined networking (SDN)—included in 5G architecture—due to its ability to programmatically and dynamically control the network behavior via open interfaces and abstract lower-level functionalities. In this paper, we design a novel railway train-to-ground (T2G) communication architecture based on the 5G technological enabler SDN and on the transport-level redundancy technique multipath TCP (MPTCP). The goal is to provide an adaptable and multitechnology communication service while enhancing the network performance of current systems. MPTCP offers end-to-end (E2E) redundancy by the aggregation of multiple access technologies, and SDN introduces path diversity to offer a resilient and reliable communication. We carry out simulation studies to compare the performance of the legacy communication architecture with our novel approach. The results demonstrate a clear improvement in the failover response time while maintaining and even improving the uplink and downlink overall data rates.

show abstract

Section: Sdn Path-computing Applicationmentioning

confidence: 99%

An Adaptable Train-to-Ground Communication Architecture Based on the 5G Technological Enabler SDN

2019

View full text Add to dashboard Cite

show abstract

“…until failure occurs, except some traffic engineering methods such as the ADMPCF (Luo et al, 2015), which continuously strive to look for good paths in the network that will be stored as backups and to be employed when an incident occurs. Similarly, Mendiola et al (2015) developed the Dynamic Path Computation (DynPac) framework as a traffic engineering technique to improve the network resource utilisation. DynPac uses a stateful path computation element (PCE) that computes and stores all possible paths between all source and destination pairs in a database and it guarantees the bandwidth allocation for the requested services.…”

Section: /26mentioning

confidence: 99%

Software-defined networks: A walkthrough guide from occurrence To data plane fault tolerance

Malik

Aziz

Al-Haj

et al. 2019

Preprint

View full text Add to dashboard Cite

In recent years, the emerging paradigm of software-defined networking has become a hot and thriving topic that grabbed the attention of industry sector as well as the academic research community. The decoupling between the network control and data planes means that software-defined networking architecture is programmable, adjustable and dynamically re-configurable. As a result, a large number of leading companies across the world have latterly launched software-defined solutions in their data centers and it is expected that most of the service providers will do so in the near future due to the new opportunities enabled by software-defined architectures. Nonetheless, each emerging technology is accompanied by new issues and concerns, and fault tolerance and recovery is one such issue that faces software-defined networking. Although there have been numerous studies that have discussed this issue, gaps still exist and need to be highlighted. In this paper, we start by tracing the evolution of networking systems from the mid 1990's until the emergence of programmable networks and software-defined networking, and then define a taxonomy for software-defined networking dependability by means of fault tolerance of data plane to cover all aspects, challenges and factors that need to be considered in future solutions. We discuss in a detailed manner current state-of-the-art literature in this area. Finally, we analyse the current gaps in current research and propose possible directions for future work.

show abstract

“…As mentioned before, OpenFlow can improve the network resource utilisation through flow relocation and disaggregation mechanisms. On the one hand, the Dynamic Path Computation (DynPaC) Framework [146] provides resilient E2E L2 circuits with bandwidth guarantees in OpenFlow-enabled domains, and it is currently being integrated with AutoBAHN [18], the multi-domain BoD service provisioning tool of the pan-European REN Géant. The framework consists of a stateful PCE that computes the shortest path that satisfies the bandwidth constraints for a given period of time, in which the network resources already consumed by other services are taken into account.…”

Section: B Openflowmentioning

confidence: 99%

“…The case of OpenFlow is of particular interest because it does not impose a specific routing algorithm or any legacy routing protocol. In OpenFlow, the controller plane can be fully programmed from scratch and implement, for instance, alternative routing protocols, even non-IP ones [146].…”

Section: B Contributions Of D-cpi Protocols To Tementioning

confidence: 99%

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

Mendiola

Astorga

Jacob

et al. 2017

IEEE Commun. Surv. Tutorials

Self Cite

153

View full text Add to dashboard Cite

Since the appearance of OpenFlow back in 2008, Software-Defined Networking (SDN) has gained momentum. Although there are some discrepancies between the standards developing organisations 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 minimisation, 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 categorised using the SDN architecture proposed by the Open Networking Foundation (ONF), 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.

show abstract

DynPaC: A Path Computation Framework for SDN

Cited by 12 publications

References 1 publication

An Adaptable Train-to-Ground Communication Architecture Based on the 5G Technological Enabler SDN

An Adaptable Train-to-Ground Communication Architecture Based on the 5G Technological Enabler SDN

Software-defined networks: A walkthrough guide from occurrence To data plane fault tolerance

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

Contact Info

Product

Resources

About