Capture and propagate contextual green software data in cyber-physical environments

This job offer has expired

    Université de Pau et des Pays de l'Adour
    Computer scienceInformatics
    First Stage Researcher (R1)
    Recognised Researcher (R2)
    Established Researcher (R3)
    Leading Researcher (R4)
    05/07/2019 00:00 - Europe/Brussels
    France › Anglet

The PhD project aims to better understand the factors affecting energy consumption across different layers in a computing environment, and use this knowledge to apply autonomous adaptations and reconfigurations.
The context of the work combine software engineering and cyber-physical systems as we aim to address energy across software, computers, virtual environments and servers, equipment and physical devices and objects.



Energy demands in information systems, ranging from computers and servers to devices in Internet of Things (IoT) and data centers, have grown subsequently in the last decade. Information and Communication Technologies’ (ICT) greenhouse gas emissions (GHGE) could exceed 14% of global GHGE by 2040 from around 1-1.6% in 2007. In particular, computers and data centers account for the majority of ICT energy consumption.

These findings show the necessity to reduce and optimize energy consumption in computers and servers and in ICT.
These issues in ICT have a broader impact on society: ICT is responsible for 4% of European CO2 emissions, and up to 10% of electricity consumption. In addition, there is a wider shift in computing economics as more services and applications are moving into cloud services. The energy strains, due to this shift, on user devices (smartphones, computers), but also on industrial actors (servers, industry 4.0) is therefore higher and the need for ICT energy optimizations is an important social and economic issue.

There have been many efforts to address energy consumption in computing systems, with approaches and results covering, 1) measuring energy consumption, 2) optimizing the energy consumption of software, 3) optimizing the energy footprint of servers and equipment in data centers, and 4) optimizing the workload in servers and in virtual machines.

However, these approaches address energy in individual and separate layers or "silos": energy is managed and optimized for a particular layer in the system (software, servers, equipment, OS, VM, middleware, etc.) or a particular workload. The next big leap in energy efficiency requires more than addressing each layer individually. Instead, energy should be managed by looking beyond each "silo" to address energy in a holistic way.

Our hypothesis is therefore to address energy consumption in computer systems in a holistic approach. We aim to understand the effects of the different layers of the system and contribute an approach to efficiently communicate energy and performance data between these layers. This knowledge-sharing is the key step to have a better understanding of the entire system and comprehend the interactions, effects and dependencies for better energy efficient systems.

Offer Requirements

Specific Requirements

We are looking for outstanding and motivated candidates for this 3-year position.
The candidates must hold (or about to receive) a Master's degree in computer science, computer engineering, software engineering, or related areas.
The candidate must have good English skills.
Knowledge of French is not required but recommended as the thesis will take place in a French university.

Work location(s)
1 position(s) available at
Université de Pau et des Pays de l'Adour

EURAXESS offer ID: 417259
Posting organisation offer ID: 86103


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