Software defined network has been the buzzword among networking professionals since the last few years. SDN promises to simplify network management using its three tiered architecture. Unfortunately, a significant amount of research that is going on in this field is focused on huge enterprise or datacenter networks. The social impact that this technology can bring about especially in developing...

In this work we develop, demonstrate, and distribute the code for a new Simulink block that models the dynamic evolution of the population density function for a physical system which can be modeled by a population balance equation. The name of the block is PCSS, for population balance modeling using the conservation element/solution element method in Simulink. The block interfaces with an auxi...

Over the last few years, several experimentation platforms have been deployed around the world, providing to the computer science research community a way to remotely perform and control networking experiments. Most of the platforms, called testbeds, offer experimentation as a service. However, each testbed is specialized in a specific technology: wired, wireless or cloud. The challenge for exp...

Topology discovery is one of the most critical tasks of Software-Defined Network (SDN) controllers. Current SDN controllers use the OpenFlow Discovery Protocol (OFDP) as the de-facto protocol for discovering the underlying network topology. In a previous work, we have shown the functional, performance and security limitations of OFDP. In this paper, we introduce and detail a novel protocol call...

An interesting feature of current Prolog systems is the ability to define external Prolog predicates that can be written in other languages. However, an important drawback of these interfaces is the fact that they lack some important features necessary to improve both the efficiency and the transparent integration of the Prolog system and the external predicates. Such an example is the cut oper...

This article thoroughly details large-scale real world experiments using Software-Defined Networking in the testbed setup. More precisely, it provides a description of the foundation technology behind these experiments, which in turn is focused around OpenFlow and on the OFELIA testbed. In this testbed preliminary experiments were performed in order to tune up settings and procedures, analysing...

Software-defined networking is finding its way into optical networks. Here, it promises a simplification and unification of network management for optical networks allowing automation of operational tasks despite the highly diverse and vendor-specific commercial systems and the complexity and analog nature of optical transmission. A fundamental component for software-defined optical networking ...

Worldwide, electrical grids are developing into smart grids. To ensure reliability, robustness and optimized resource usage, these grids will need to rely heavily on modern information and communication technologies. To support the achievement of these goals in communication networks, we evaluated the possibility of using software-defined networking (SDN) infrastructure based on OpenFlow, to pr...

Modern network management is foremost a case of precise control: to implement practical traffic engineering and network security policies, a network operator needs to control the exact path traffic takes through a network. While conceptually simple, accomplishing this level of control is surprisingly difficult with traditional network control planes; in the end, the underlying distributed routi...

Despite the emergence of pipelining as a key feature of nextgeneration SDN data-path models, there are no previous studies on how to automatically design, populate, and update datapath pipelines from completely datapath-oblivious, highlevel SDN programs. We refer to this as the pipeliningoblivious programming challenge. This paper presents Magellan, the first systematic investigation of the cha...