Engineer: Data placement and retrieval in erasure coded IPFS

Contrat renouvelable : Oui

Niveau de diplôme exigé : Bac + 5 ou équivalent

Fonction : Ingénieur scientifique contractuel

The Inria Centre at Rennes University is one of Inria's eight centres and has more than thirty research teams. The Inria Centre is a major and recognized player in the field of digital sciences. It is at the heart of a rich R&D and innovation ecosystem: highly innovative PMEs, large industrial groups, competitiveness clusters, research and higher education players, laboratories of excellence, technological research institute, etc.

Financial and working environment.

This engineer position will be in the context of Alvearium challenge (https://project.inria.fr/alvearium/), a project between HIVE, Coast, Magellan and Wide Inria teams. The engineer will be recruited and hosted at the Inria Center at Rennes University and will be visiting Inria Nancy-Grand Est and the Hive offices in Cannes. The work will be carried out within the MAGELLAN team in collaboration with other partners.

The position is for one year, with the possibility of an extension to 18 months.

About Hive:

Hive intends to play the role of a next generation cloud provider in the context of Web 3.0. Hive aims to exploit the unused capacity of computers to offer the general public a greener and more sovereign alternative to the existing clouds where the true power lies in the hands of the users. It relies both on distributed peer-to-peer networks, on the encryption of end-to-end data and on blockchain technology.

Context:

Erasure coding (EC) has been increasingly used in storage systems as an alternative for replication to provide high data availability at relatively lower storage and power costs. For example, EC has been deployed in data analytic systems and in-memory storage systems on cached (hot) data. EC can be an ideal candidate for large scale peer-to-peer storage systems (exploits parallel read and write of data, involves large number of nodes in storing and repairing data). However, performing EC on the critical path of data access in large scale P2P storage system poses many research challenges on how to ensure high data availability and meet data and node dynamicity, and on how to provide cost-effective and heterogeneity-aware data repair.

Objectives:

The goal of this engineer position is to implement existing Erasure coding families in Go and to develop new data placement and retrieval strategies for erasure coded IPFS. The engineer will work closely with a PhD student on this topic.

• Implement several erasure coding families in Go and integrate them within IPFS
• Study new algorithms for data placement and retrieval
• Prototype key algorithms
• Run experiments and Evaluation of results
• Reporting, disseminating and presenting results

• Engineering and/or Master 2 degree in Computer science
• Good knowledge in distributed systems
• Software development skills: Python and Go
• Knowledge on storage and file systems
• Good collaborative and networking skills
• Excellent written and oral communication in English

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) 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

The engineer will receive a salary of €2,695 gross per month, based on their profile.

Please submit online: your resume, cover letter and letters of recommendation eventually.