The EMJD in Distributed Computing (EMJD-DC) is an international joint doctoral school for the study of distributed computing. EMJD-DC combines a well-structured, interdisciplinary training programme with high-quality research work. The training and research is carried out in cooperation with leading research groups from four universities in different countries: UPC (Spain), KTH (Sweden), IST Lisbon (Portugal), and UCL (Belgium).
In this post, I am going on the Research overview started in the last post. Last week I was at the European Business Intelligence Summer School (eBISS 2011) in Paris. The objective was to give a complete overview on the researches and evolution of Bi, viewed by the best of bread researchers and industrials. In this post we continue to describe the main important topics that was exposed.
Last week I was at the European Business Intelligence Summer School (eBISS 2011) in Paris. The objective was to give a complete overview on the researches and evolutions of Bi, viewed by the best of bread researchers and industrials. For newbies in BI, I recommend to start by the wikipedia page (what a collaborative and web 2.0 world !).
In this second part I welcome Nicolas Degroodt who explains how he has extended the YCSB for implementing TPC-C benchmark for NoSQL. In this post we call DBMS a storage framework whether it is RDBMS or a NoSQL.
In this post I would like to speak about two master theses that EURA NOVA is managing with the Faculty of Science Engineering of the Université Libre de Bruxelles (ULB) and with the Université Catholique de Louvain (UCL). The two students have been working on the same topic: the elasticity of data storage on the cloud. The first cool stuff to notice is that they are working on two different aspects of the elasticity by taking different directions, but at the end of the day, by their two contributions they draw a complete picture of the NoSQL benchmarking in the cloud. In this post I will give you a preview of their work that should be published in June 2011.
If we look at the evolution of private cloud, we can clearly see a natural convergence between Data Center Management (DCM) and IaaS management. It is natural because it fits better to the enterprise organization. Let’s be clear, we are talking about large organization, having already data centers for their own IT or businesses. The Services and software department are focusing on the elastic applications they can build on top of the infrastructure management such as Eucalyptus [1], OpenStack[2] or commercial solutions such as VCloud Director [3].
Today, we welcome Arthur Lessuise, a student in last year in Master in Computer Science at the Université Libre de Bruxelles (Belgium). He spent 6 weeks at Euranova R&D for its internship. He studied the ability to swap HDFS in Pig Latin by a NoSQL storage. This post is a summary of his amazing work. Enjoy!
I recently had the opportunity to attend the symposium entitled “What’s in a build? Best practice and Requirements” given by Henrik Lindberg (Cloudsmith [1]) and Nick Boldt (JBoss – RedHat [2]) at the Eclipse Summit Europe 2010 in Ludwigsburg [3]. The goal was to brainstorm and discuss about the practices and current concerns when it comes to the build of Eclipse plug-ins, features or RCP applications, and the automatic execution of post-build processes such as testing.
Those recent years we have seen the NoSQL initiative emerging against the so-called “old, slow and legacy” relational DBs. But today the debate is extending with a newcomer “The New RDMS architecture”. The concept is simple, the RDMS architecture was developed a long time ago, at that time computer science, computers and processors were extremely different from what we can find today. Why are we not able to gather the recent researches in storage, distributed computing and threading system to re-design a modern RDMS?
In the last post we considered the problem of the Integrated fast food management. In step 1, we designed the models and in step 2 we weaved them. As a result the application were developed just by weaving live-models. We finished the last post by asking ourselves how could we answer the Fast Food manager’s issues: the boss wanted to control the burger cooking rate according to current demand. In addition, soon, he will ask to include other contextual parameters, such as the number of available seats, or the location of the truck which delivers salads and burgers. How could we define a flexible, maintainable, and intelligent system? We proposed to use CEP concepts.