Last month Nokia Devices and Services were bought by Microsoft.
Before letting Microsoft build their own Lumia and Asha devices, Nokia still had to release their latest products:
These past years the Graphics Processing Units have gained popularity and momentum in industrial research thanks to the parallel processing power (# of parallel core) that these offers for a reasonable price. The second reason behind this is their wide hardware availability in the consumer landscape: the sheer price cost of a GPU has favored their presence in most of the consumer devices nowadays, from mobile phones & tablets to video game systems.
IS THE FUTURE OF BUSINESS TOTALLY HUMAN CENTRIC?
Today, we see a lot of young developers and designers that grew up with technologies, new social habits and a lot of new tools that did not exist for the previous generation (actually, a generation is no more than 10 years today!).
As a consequence, entrepreneurs in their early 20’s are creating and innovating using technical stacks they have known their whole life, unaware of the details of a CPU, who Turing was and what a methodology can bring to a development project. They just create and diffuse their ideas!
… and people consume their products, get new habits and change their way of viewing/judging things.
This week I was the second IEEE Big Data conference at Santa Clara for presenting our paper “A distributed approach for graph-oriented multidimensional analysis”.
This is now a tradition, I cannot attend a conference without giving you a short summary of the trends and interesting topics of the conference.
In this blog post we briefly describe our new contribution to the big data domain, especially, graphDB benchmarking. This work was accepted for publication at 2013 ASE/IEEE International Conference on Big Data.
In this work, we presented a distributed graph database benchmarking framework. We used this tool to analyze the performance of four graph databases: Neo4j 1.9M05 , Titan 0.3, OrientDB 1.3 and DEX 4.7.
First let’s take a sneak peek at the smartphone market:
And then it’s over, 3 days at the 1st OpenNebula Conference! I took part in 18 talks, put my hands into OpenNebula core, met a lot of interesting people, enjoyed a really nice German dinner in the capital and filled my brain with tons of information and inspiration.
This week I had the chance to attend the ASE/IEEE International conference on Big Data here in Washington DC. EURA NOVA’s presence has been highly remarked as we had two papers: imGraph (big up to @AldemarReynaga) and a paper presenting our empirical performance analysis on some of the major graph database on the current market.
The importance of graphs as the fundamental structure underpinning many real world applications is no longer to be proved. Large graphs have emerged in various fields such as biological, social and transportation networks. The sheer volume of these networks poses challenges to traditional techniques for storage and analysis of graph data. In particular, OLAP analysis requires access to large portions of data to extract key information and to feed strategic decision making. OLAP provides multilevel, multiperspective views of the data. Most of the current techniques are optimized for centralized graph processing. A distributed approach providing horizontal scalability is required in order to handle the analysis workload.
In this paper, we focus on applying OLAP analysis on large, distributed graph data. We describe Distributed Graph Cube, our distributed framework for graph-based OLAP cubes computation and aggregation. Experimental results on large, real-world datasets demonstrate that our method significantly outperforms its centralized counterparts. We also evaluate the performance of both Hadoop and Spark for distributed cubes computations.
Benoît Denis, Amine Ghrab, and Sabri Skhiri, A Distributed Approach for Graph-Oriented Multidimensional Analysis, proceedings of the 2013 IEEE International Conference on Big Data, Santa Clara, CA, USA, October 2013.
Click here to access the paper.
I spent the last week at Prague, Czech Republic, to present my paper entitled “An Analytics-Aware Conceptual Model For Evolving Graphs”. More details on the paper could be found in my previous article.
In this post I will focus more on the trends, and share some of the lessons I learned during this nice travel.
