logo EDITE Aruna Prem BIANZINO
État académique
Thèse soutenue le 2012-05-04
Sujet: Prise en compte de la consommation énergétique dans l'optimisation des réseaux
Direction de thèse:
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
Distributed Algorithms for Green IP Networks
We propose a novel distributed approach to ex- ploit sleep mode capabilities of links in an Internet Service Provider network. Differently from other works, neither a central controller, nor the knowledge of the current traffic matrix is assumed, favoring a major step towards making sleep mode enabled networks practical in the current Internet architecture. Our algorithms are able to automatically adapt the state of network links to the actual traffic in the network. Moreover, the required input parameters are intuitive and easy to set. Extensive simulations that consider a real network and traffic demand prove that our algorithms are able to follow the daily variation of traffic, reducing energy consumption up to 70% during off peak time, with little overheads and while guaranteeing Quality of Service constraints.
IEEE INFOCOM 2012 Workshop: Green Networking and Smart Grid IEEE INFOCOM 2012 Workshop: Green Networking and Smart Gridproceeding with peer review 2012-03-30
Enabling Sleep Mode in Backbone IP-Networks: a Criticality-Driven Tradeoff
The energy consumption of network devices, and, as a consequence, of communication networks, is generally independent from their level of utilization, which results in a waste of energy when the network is lightly loaded. Ideally the consumption of a network should be proportional to the amount of traffic it conveys. The most straightforward way to enforce such a proportionality between the network energy consumption and its utilization level, is to dynamically adapt the status of network devices to the load, forcing a subset of them to enter a sleep state during the low activity periods. We present in this paper an algorithm to dynamically put links into a sleep state, based on a cooperative-game approach, named "L-Game". Our approach decides which links can be switched off based on a measure of the criticality of each link expressed as its Shapley value. This measure combines topological aspects and traffic conditions. Simulation results on real network scenarios show that our solution achieves a better trade off between energy saving and Traffic Engineering than other legacy approaches.
IEEE ICC'12 Workshop on Green Communications and Networking IEEE ICC'12 Workshop on Green Communications and Networkingproceeding with peer review 2012-06-15
Energy Consumption in the Internet Core: a Sensitivity Analysis
Sustainable Green Computing: Practices, Methodologies and Technologiesscientific book chapter 2012
Greening the Internet surf: Experimental measurements of Web power-consumption
This evaluation of end-user PCs browsing the Web—and loading Flash plug-ins—measures power consumption by considering the hardware platform, operating system, browser, and website. It also reveals the unnecessary power expenditures of tabbed browsing.
IT Professional, Special Issue on Green ITpeer-reviewed article 2011-01
A Survey of Green Networking Research
Reduction of unnecessary energy consumption is becoming a major concern in wired networking, because of the potential economical benefits and of its expected environmental impact. These issues, usually referred to as "green networking", relate to embedding energy-awareness in the design, in the devices and in the protocols of networks. In this work, we first formulate a more precise definition of the "green" attribute. We furthermore identify a few paradigms that are the key enablers of energy-aware networking research. We then overview the current state of the art and provide a taxonomy of the relevant work, with a special focus on wired networking. At a high level, we identify four branches of green networking research that stem from different observations on the root causes of energy waste, namely (i) Adaptive Link Rate, (ii) Interface proxying, (iii) Energy-aware infrastructures and (iv) Energy-aware applications. In this work, we do not only explore specific proposals pertaining to each of the above branches, but also offer a perspective for research.
IEEE Communications Surveys & Tutorialspeer-reviewed article 2012
The G-Game: A Cooperative Game Approach for Resource Consolidation in Network Dimensioning
24th European Conference on Operational Research (EUROXXIV)invited conference talk 2010-07-14
Energy-Aware Routing: a Reality Check
Abstract— In this work, we analyze the design of green routing algorithms and evaluate the achievable energy savings that such mechanisms could allow in several realistic network scenarios. We formulate the problem as a minimum energy routing optimization, which we numerically solve considering a core-network scenario, which can be seen as a worst-case for energy saving performance (as nodes cannot be switched off). To gather full-relief results, we analyze the energy savings in various conditions (i.e., network topology and traffic matrix) and under different technology assumptions (i.e., the energy profile of the network devices). These results give us insight into the potential benefits of different “green” technologies and their interactions. In particular, we show that depending on the topology and traffic matrices, the optimal energy savings can be modest, partly limiting the interest for green routing approaches for some scenarios. At the same time, we also show that the common belief that there is a trade off between green network optimization and performance does not necessarily hold: in the considered environment, green routing has no effect on the main network performances such as maximum link utilization.
3rd International Workshop on Green Communications (GreenComm3), in conjunction with IEEE GLOBECOM 2010 3rd International Workshop on Green Communications (GreenComm3), in conjunction with IEEE GLOBECOM 2010proceeding with peer review 2010-10
Apples-to-apples: a framework analysis for energy-efficiency in networks
Research on energy-efficiency of communication networks has already gained the attention of a broad research community. Specifically, we consider efforts towards improving environmental sustainability by making networks energyaware. An important step in this direction is establishing a comprehensive methodology for measuring and reporting the energy consumption of the network. In this work, we compare and contrast various energy-related metrics used in the recent literature, by means of a taxonomy definition, as well as through relevant case studies. We believe this to be a first necessary step towards the definition of a common framework for the performance evaluation of energy-aware networks.
ACM SIGMETRICS Performance Evaluation Reviewpeer-reviewed article 2010-12-03
A Survey of Green Networking Research
IEEE Communications Society Surveys & Tutorials 2010
Testbed Implementation of Control Plane Extensions for Inter-Carrier GMPLS LSP Provisioning
5th Int. Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TRIDENTCOM 2009), Washington, USA 2009
Apple-to-Apple: A Common Framework for Energy-Efficiency in Networks
ACM SIGMETRICS, GreenMetrics WorkshoW, New York, USA 2010-06
Energy-Awareness in Network Dimensioning: a Fixed Charge Network Flow Formulation
ACM SIGCOMM eEnergy'10, Extended Abstract, Passau, Germany 2010-04
Testbed Implementation of Control Plane Extensions for Inter-Carrier GMPLS LSP provisioning
2009 5th Int. Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TRIDENTCOM 2009), Washington, USA 2009-04
Thèse: Ingénierie de trafic avec prise en compte énergétique
Soutenance: 2012-05-04