The Dirty Dozen
While it’s not necessary to be dirty, this film tells us one clear thing: you’re stronger with a small team of specialists rather than with a big group of clones.
Category: Engineering
imGraph: A distributed in-memory graph database
In this blog post we briefly describe our new contribution to the big data domain, especially, graph storage and querying. This work was accepted for publication at 2013 ASE/IEEE International
An empirical comparison of graph databases
In recent years, more and more companies provide services that can not be anymore achieved efficiently using relational databases. As such, these companies are forced to use alternative database models
Brussels Cassandra Users
This last Tuesday EURA NOVA hosted an interesting Cassandra meetup. Several tech enthusiasts and Cassandra fans have met each other for two talks: I briefly introduced what are the challenges
Three mindsets to change the game: the Walt Disney innovation process
“Innovation can be considered as the transformation of dreams into concrete and tangible things”. Thanks to this point of view, Walt Disney developed unconsciously one of the most efficient innovation
Standards-Based Cloud Service Management
From a Master Thesis to CLOSER 2013 In the scope of a Master Thesis collaboration between the Université de Liège (ULg) – Electrical Engineering and Computer Science Department and EURA
Towards a standards-based cloud service manager
Migrating services to the cloud brings all the benefits of elasticity, scalability and cost-cutting. However, migrating services among different cloud infrastructures or outside of the cloud is not an obvious
The captivating AROM of distributed processing
Last month we have had the opportunity to present AROM at the 4th IEEE International Conference on Cloud Computing Technology and Science (CLOUDCOM) in Taipei, the beautiful capital of Taiwan. For the
Arom: processing big data with data flow graphs and functional programming
The development in computational processing has driven towards distributed processing frameworks performing tasks in parallel setups. The recent advances in Cloud Computing have widely contributed to this tendency. The MapReduce
Data flow graph & stream processing closer than ever
This year we started a research project, named AROM, in collaboration with the Université Libre de Bruxelles. We wanted to evaluate a Data Flow Graph (DFG) processing framework and compare it