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.
Today, I could have talked about Steve Ballmer’s surprise retirement, or the Moto X or even about Google and Facebook trying to provide Internet access to the entire world. But instead, I will talk about news syndication.