Julien Mineraud

An Evaluation of Parameterized Gradient Based Routing With QoE Monitoring for Multiple IPTV Providers

Future communication networks will be faced with increasing and variable traffic demand, due largely to various services introduced on the Internet. One particular service that will greatly impact resource management of future communication networks is IPTV, which aims to provide users with a multitude of multimedia services (e.g. HD and SD) for both live and on demand streaming. The impact of this will be higher, when we consider multiple IPTV services overlaid on the same network. In this paper we propose a resource management scheme for a network provider that supports multiple IPTV providers. The proposed solution incorporates a new distributed routing mechanism in the underlying network that incorporates QoE monitoring. Through this monitoring process, network providers are able to provide timely updates of quality of flows for each IPTV provider. Simulation work has been conducted to validate the efficiency of the proposed solution in comparison to standard approaches.

BiRSM: bio-inspired resource self-management for all IP-networks

The increased complexity of communication systems has led to new challenges in network management and more specifically, efficient mechanisms to manage communication resources. The vision of autonomic networking aims to overcome these challenges by incorporating self-governance into communication network devices, in order to improve overall efficiency and minimize human intervention. Since biological systems exhibit properties that meet the requirements of self-governance, this article proposes a bio-inspired approach to efficiently manage resources in IP based core networks, called Bio-Inspired Resource Self-Management. The approach aims to provide a holistic solution for ISPs to manage their resources at different timescales as well as automating the interactions with underlying carrier network operators for dynamic resource provisioning. The implemented solution, in a simulator, has shown improved performance compared to traditional approaches.

Adaptive Dynamic Routing Supporting Service Management for Future Internet

There is currently much debate in defining what form the Future Internet will take [22, 23, 24]. The current Internet is struggling to meet the needs of an ever-evolving society. This is largely due to the Internet now become a thriving marketplace with services at the core. The range, number and complexity of services are set to increase with an even more dynamic service environment envisioned in the future. However, as these services grow, service composition will become an important feature of the service environment, leading to new challenges in service discovery and composition mechanisms. At the same time, dynamic service environments will also require that the underlying infrastructure networks are flexible enough to handle the changing service landscape. One area this is particularly important is in dynamic routing to deal with highly dynamic and frequent service changes. In this paper, we adopt mechanisms from biology and apply these to the problems identified, resulting in an integrated Bio-inspired service management and dynamic routing solution for Future Internet. We demonstrate how the bio-inspired mechanisms not only improve each problem individually, but through their integration also improve overall network performance. Simulation results are presented to validate the proposed solution.

Biologically inspired future service environment

In recent years, a major factor that has attracted numerous users to the Internet is services, and it is anticipated that this trend will continue into the future. As the Internet of the future becomes increasingly service centric, this brings with it a number of well established challenges. With large volumes of services, service discovery becomes one of the most decisive issues, and even fundamental tasks such the management and maintenance of services become challenging. Also, as services evolve and change to meet users demands, an efficient delivery mechanism (routing and resource management) is required in the underlying network. In order to address these challenges, this paper proposes an integrated bio-inspired service management and distributed routing solution for future service environments. The proposed solution will demonstrate how biological processes can improve both the individual layers of service management and underlying infrastructure, as well as improve overall performance when these two layers are integrated. Simulation results are presented to help validate the proposed solution.

Coordinating Allocation of Resources for Multiple Virtual IPTV Providers to Maximize Revenue

Network virtualization is seen by many as a key technology to help overcome some of the constraints of the current Internet architecture and help build a “human centric” Future Internet. As IPTV gains popularity, creating virtual networks for IPTV Service Providers can allow them to deploy specific protocol suites, routing algorithms and resource allocation strategies without affecting other IPTV providers that share the same underlying infrastructure. However, from the perspective of the underlying networking infrastructure provider (the “carrier”) virtualization presents new management challenges, in particular how to efficiently and fairly allocate available resources to multiple virtual networks. In this paper we describe a framework in which management systems associated with virtual IPTV provider networks communicate with the management system of the carrier to provide coordinated resource allocation. The proposed approach allows policy-based management systems to control a bio-inspired resource management mechanism, based on species competition for biological systems, that a carrier can use to allocate resources to competing IPTV providers in a manner that maximizes the carriers revenue. Results of a simulation study are presented, which show that this approach outperforms uncoordinated virtual network management approaches.

Parameterised Gradient Based Routing (PGBR) for Future Internet

The current internet infrastructure is facing a number of limitations that is not suitable to meet the growing number of services and users. In particular, one aspect that requires enhancement is routing, where original routing concepts were designed for static traffic patterns with minimal variations and supporting mainly low throughput traffic (e.g. Data). As the number of users as well as services supporting the user grows, the current routing mechanisms will not be feasible. In this paper we present a gradient based distributed routing technique that is based on discovering routes through a gradient field created in the topology. The gradient calculation is based on weighted sum of a number of components, which modifies the gradient field as the network load changes. Simulation results have also been presented to validate the proposed routing algorithm.

Fs-PGBR: a scalable and delay sensitive cloud routing protocol

This paper proposes an improved version of a fully distributed routing protocol, that is applicable for cloud computing infrastructure. Simulation results shows the protocol is ideal for discovering cloud services in a scalable manner with minimum latency.

An implementation of Parameterised Gradient Based Routing (PGBR) in ns-3

This paper presents an implementation of the PGBR routing protocol within the ns-3 simulator. Broadband convergence networks can offer a solution for multiple service classes through integrated heterogeneous networks. However, to prepare this for the future variability in traffic demand, a dynamic routing protocol that enhances scalability, QoS awareness, and easy roadmap to deployment if necessary. The implementation using ns-3 simulator can ensure this capability.

Parameterized green gradient based routing (PG 2 BR) for an energy efficient Internet

This paper proposes a distributed routing protocol that minimizes the energy consumption of communication networks. The proposed protocol, called PG2BR (Parameterized Green Gradient Based Routing) contains a dual process, which includes i) a two-phase mechanism that gradually powers devices on/off in a decentralized manner, depending on the traffic condition, and ii) a distributed gradient based routing that quickly adapts to topology changes while maximizing resource usage and maintaining QoS requirements. Simulation work on a number of different types of topologies, have shown that PG2BR is highly adaptive to any traffic and network conditions while proposing the best energy savings-QoS trade-off.