Thesis of Azhar Ait Ouassarah

ADI: A NoSQL System for Bi-temporal Databases

Defense date: 23/05/2016

Advisor: Jean-Marc Petit
Coadvisor: Vasile-Marian Scuturici


Systar is a provider of performance management softwares that enable large organizations to maximize the efficiency of their business operations and IT infrastructure.
Systar is currently developping a new product incorporating a distributed, replicated and column oriented database system for bitemporal data. This system faces several functional and performance constraints, e.g managing important volume of data and processing a high volume of concurrent queries.
The thesis objective is to optimize Systar's product. It consists in finding a good architecture, good data structures and algorithms to efficiently process high data volume(hundred of thousands of events per second). The most interesting propositions will be implemented and approved thanks to a testbed used by Systar.

Mme Roccancio ClaudiaProfesseur(e)Ensimag GrenoblePrésident(e)
Mr Abdessalem TalelProfesseur(e)Telecom ParisTechRapporteur(e)
Mr Vodislav DanProfesseur(e)Université Cergy-PontoiseRapporteur(e)
Mr Averseng NicolasIngénieur(e) de rechercheAxwayInvité(e)
Mr Revol RomainIngénieur(e) de rechercheAxwayInvité(e)
Mme Murisasco ElisabethProfesseur(e)Université de ToulonExaminateur​(trice)