(version française ici)
Christina Herzog did her PhD in Computer Science at IRIT, University Toulouse 3 Paul Sabatier. Details are below. She published several research papers (list is here). She also gave several lectures since the beginning of her PhD. at the University (details here).
PhD Title: Contribution to the modeling of technology transfer in Green IT with Multi-Agent System (PhD dissertation)
PhD. Defense: November 26th 2015.
PhD Supervisors: Jean-Marc Pierson, IRIT, University Toulouse 3 Paul Sabatier and
Laurent Lefèvre, LIP, INRIA Rhône-Alpes.
Over the past 5 to 10 years, research are numerous on energy reduction in IT (mainly electricity reduction). Several studies indeed alerted the stakeholders and environmental agencies on the urgency of the problem of the energy consumption of large scale infrastructures, like data centers, clouds or simply companies running servers and many IT equipments. In laboratories, some techniques have proven on synthetic data, dedicated workflows or selected applications, to be able to save energy during the lifetime of an infrastructure, in several contexts, from Cloud to HPC in particular. Unfortunately, the transfer (or even the knowledge of the existence) of these techniques to industries is limited to project partners, innovative companies or large private research centres, able to invest time (thus money) on this topic.
In my thesis, I investigate the reasons restraining the large adoption of several research results, from the simpler ones to more elaborated ones and I model the ties and interactions between the actors of the technological transfer. The target field has been restricted to Green IT but the methodology and the developed models can be extended to other domains as well. The idea is to identify, on the scale of technical maturity for wider adoption, what is missing and how to increase the speed of the transfer of scientific knowledge. The methodology is based on the following path: First, identifying the actors involved in the process of technology transfer, and understanding their motivations, their means of actions and their limitations. Identifying each actor is not sufficient since they all interact; therefore their links and the potential of these links for technology transfer have also been studied carefully in a second phase so as to identify the most important ones. From these two phases, a multi-agent system (MAS) has been designed and implemented in NetLogo.
The selected agents to be included in the model are the researchers, the research facilities, the companies, the technology transfer offices (TTO) and the funding agencies. These agents evolve independently and interact within direct partnerships (one to one) and projects (involving more than 3 actors). The algorithms of their evolution and project constructions are proposed and the main parameters of their evolution identified, with each actor having its own objectives (i.e. researchers need to publish, companies want to increase their turnover, etc). A global metric is proposed for relating the sustainability performance indicator (SPI) of the MAS. It accounts for each actor for its efforts towards sustainability, aggregating ecological, economical and societal performance indicators. I compare the MAS behaviour (i.e. the actors objectives and the global SPI changes) by varying several parameters of the simulation: the maximum amount of funding, the conversion rate from a project to a patent, the incentive one research facility can offer to its researchers, the presence of a TTO and its take on the projects outcome. Additionally, a proposal is given to integrate the SPI values in the behaviour of each actor, so that it has a greener behavior.