Type de contrat : CDD
Niveau de diplôme exigé : Thèse ou équivalent
Fonction : Post-Doctorant
Niveau d'expérience souhaité : Jeune diplômé
Contexte et atouts du poste
Within the framework of a partnership (you can choose between)
- Collaboration between Inria and Qarnot Computing
The postdoc will mainly take place in the Topal/Storm team (supervision Olivier Beaumont (Topal), Laercio Lima Pilla (Storm) and Lionel Eyraud-Dubois (Topal)) of the Inria center at the University of Bordeaux, with occasional stays at Qarnot Computing (frequency and duration to be discussed with the candidate, Qarnot Computing and Inria). The objective is to propose an efficient solution for data placement under energy constraints and to publish the research work in the best journals and conferences (on Energy and Parallel and distributed algorithms and infrastructures).
Mission confiée
The joint challenge between Inria and Qarnot aims to develop and promote best practices in geo-distributed hardware and software infrastructures for intensive computing with a reduced environmental footprint.
As long as datacenters are not located closer to cities, the reuse of server heat will essentially require the decentralization of datacenters. As such, the distribution of the storage system, as an essential building block of the computing platform, is a prerequisite for the reuse of the waste heat emitted by the servers.
The distribution of the storage system raises many challenges to which this project will provide answers. In this context, we are interested in data that are likely to be used many times ( training,...). In order to allow a good availability of the computations, it is necessary that the data be replicated on several sites, so as to maximize the probability of finding a free resource on a site which has the data. Otherwise, it will be necessary to move the data on demand, which consumes energy and introduces delays. The replication itself introduces an energy overhead, due to the cost of the initial transfer and the resource occupation.
The question to be solved is therefore the following: given
- a set of data
- a set of tasks associated with this data (or a distribution of the probability that a task needing a specific data appears in the system)
- a cost model (time and energy) of storage, transfers (in emergency or during off-peak periods)
- a quality of service guarantee for users and
- a distribution of the probability of availability of resources on the different sites,
find a data replication policy that guarantees the quality of service while minimizing the energy cost.
The introduction of all the constraints and the multi-objective optimization problem is too complex to be addressed directly and we will use an incremental approach allowing the gradual integration of the constraints and objectives, which may also involve restricting the type of applications considered. Another difficulty concerns the collection of data (on the behavior of applications, on the modeling of storage and transfer costs, etc.). The objective is to build an on-line placement strategy (for which the data is known as it is received) that can also make dynamic redistribution decisions.
Principales activités
Main activities (5 maximum) : Algorithm Design, Modeling, Simulation
Tasks:
* bibliographical study, and in parallel analysis of usage data provided by Qarnot (Qarnot, Inria)
* design of allocation algorithms in a simple model (offline, possibly homogeneous) (Inria)
* (optional) development of a simulation environment to validate different approaches (Qarnot, Inria)
* design of an online algorithm, and validation in simulation (Qarnot, Inria)
Compétences
Technical skills and level required : distributed algorithms, infrastructure modeling
Languages : possible options are possible at this stage
Relational skills : ability to exchange with designers of a complex full-scale solution and to extract the most relevant parameters for modeling, allowing the design of relevant algorithms.
Avantages
- Subsidized meals
- Partial reimbursement of public transport costs
- Possibility of teleworking and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
Rémunération
2653€ / month (before taxs)
Partager
Informations générales
- Thème/Domaine :
Calcul distribué et à haute performance
Calcul Scientifique (BAP E) - Ville : Talence
- Centre Inria : CRI Bordeaux - Sud-Ouest
- Date de prise de fonction souhaitée : 2022-10-01
- Durée de contrat : 2 ans
- Date limite pour postuler : 2022-07-08
Contacts
- Equipe Inria : HIEPACS
-
Recruteur :
Beaumont Olivier / Olivier.Beaumont@inria.fr
L'essentiel pour réussir
It is important for the candidate to have a taste for the design of distributed algorithms, infrastructure modeling in the context of a partnership with an industrial, Qarnot Computing. Expertise in probabilistic algorithms will also be useful and experience in distributed infrastructure design will be appreciated.
A propos d'Inria
Inria est l’institut national de recherche dédié aux sciences et technologies du numérique. Il emploie 2600 personnes. Ses 200 équipes-projets agiles, en général communes avec des partenaires académiques, impliquent plus de 3500 scientifiques pour relever les défis du numérique, souvent à l’interface d’autres disciplines. L’institut fait appel à de nombreux talents dans plus d’une quarantaine de métiers différents. 900 personnels d’appui à la recherche et à l’innovation contribuent à faire émerger et grandir des projets scientifiques ou entrepreneuriaux qui impactent le monde. Inria travaille avec de nombreuses entreprises et a accompagné la création de plus de 180 start-up. L'institut s'efforce ainsi de répondre aux enjeux de la transformation numérique de la science, de la société et de l'économie.
Consignes pour postuler
Thank you to send:
- CV
- Cover letter
- Support letters (mandatory)
- List of publication
Sécurité défense :
Ce poste est susceptible d’être affecté dans une zone à régime restrictif (ZRR), telle que définie dans le décret n°2011-1425 relatif à la protection du potentiel scientifique et technique de la nation (PPST). L’autorisation d’accès à une zone est délivrée par le chef d’établissement, après avis ministériel favorable, tel que défini dans l’arrêté du 03 juillet 2012, relatif à la PPST. Un avis ministériel défavorable pour un poste affecté dans une ZRR aurait pour conséquence l’annulation du recrutement.
Politique de recrutement :
Dans le cadre de sa politique diversité, tous les postes Inria sont accessibles aux personnes en situation de handicap.
Attention: Les candidatures doivent être déposées en ligne sur le site Inria. Le traitement des candidatures adressées par d'autres canaux n'est pas garanti.