Alexandru Costan

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Associate Professor, IRISA / INSA Rennes

Address: IRISA / Inria Rennes – Bretagne Atlantique

Campus Universitaire de Beaulieu

35042, Rennes, France

Office: F429

Phone: + 33 2  99 84 75 66

E-mail: alexandru.costan at irisa.fr

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Research Interests

My main research interests include Big Data management on large scale infrastructures like clouds, event streaming and workflow management. Relevant topics are:

  • Big Data Analytics and High Performance Computing convergence;
  • Geographically distributed data management for multi-site clouds;
  • Efficient data management for workflows running on clouds;
  • Hybrid infrastructures (clouds and dekstop grids, public and private clouds);
  • MapReduce optimisations.

Recent Highlights

Short bio

I am an Associate Professor at INSA Rennes. Until 2012 I was a postdoctoral researcher within the KerData team at Inria Rennes, working with dr. Gabriel Antoniu and prof. Luc Bougé, on scalable storage in cloud environments. In 2011 I obtained a Ph.D. in Computer Science from the Politehnica University of Bucharest, Romania, where my advisor was prof. Valentin Cristea. My Ph.D. thesis was focused on self-adaptive behavior of large-scale distributed systems based on monitoring information, bringing several contributions to the MonALISA monitoring system.

Publications

A list of my recent publications can be found on HAL Open Archives Library: HAL (sorted by year) HAL (sorted by type). DBLP entries here.

Software

  • JetStream is a high performance batch-based streaming middleware. The system is able to self-adapt to the streaming conditions by modeling and monitoring a set of context parameters. It further aggregates the available bandwidth by enabling multi-route streaming across cloud sites.
  • TomusBlobs is a concurrency-optimized data storage system which federates the virtual disks associated to the Virtual Machines running the application code on the cloud. It is used in the Azure cloud for efficient data-intensive processing based on MapReduce.
  • MonALISA, which stands for Monitoring Agents using a Large Integrated Services Architecture, has been developed over the last years by Caltech and its partners with the support of the U.S. CMS software and computing program. The framework is based on Dynamic Distributed Service Architecture and is able to provide complete monitoring, control and global optimization services for complex systems.

Projects

  • Z-CloudFlow (2013-2016): geographically distributed workflows on Azure clouds. A project of the Microsoft-Inria Joint Research Centre.
  • BigStorage (2015-2018) is an European Training Network (ETN) project. Area: Storage-based Convergence of HPC and Cloud infrastructures to handle Big Data. Role: local coordinator for Inria Rennes Bretagne Atlantique.

PhD Students

Former PhD Students

  • Radu Tudoran now at Huawei European Research Center, Germany

Teaching

  • INSA Rennes: Big Data and Applications – M1 – lectures and practical sessions (36h / year since 2014)
  • INSA Rennes: Introduction to Databases – L2 – lectures and practical sessions (68h / year since 2012)
  • ENS Rennes: Introduction to Java Programming – L3 – lectures (17h / year since 2011)