Arnau Prat, Lead Researcher at DAMA-UPC from the Technological University of Catalonia presented a talk on the Interactive Workload of the Social Network Benchmark. One of the key aspects of his talk was the introduction of the SNB Data Generator, tool that generates a Facebook-degree social network distribution (groups, posts, likes…). This synthetic social network follows the principle of homophily, isn’t uniform and allows a fair comparison and reproducibility of benchmark executions while being also scalable by using Apache Hadoop.
Moritz Kaufmann from the Technische Universität München (TUM) participated during the last LDBC TUC Meeting in Barcelona with his presentation "LDBC SNB Benchmark Auditing".
During the 6th TUC Meeting in Barcelona we were glad to welcome Arnau Prat from Universitat Politècnica de Catalunya (Barcelonatech) and Sparsity Technologies with the presentation "LDBC Social Network Benchmark Interactive Workload”.
Next 31st of May the GRADES workshop will take place in Melbourne within the ACM/SIGMOD presentation. GRADES started as an initiative of the Linked Data Benchmark Council in the SIGMOD/PODS 2013 held in New York. Read more information about the event here.
Note: this post is a continuation of "SNB Interactive Part 1 - What is SNB Interactive Really About?" post by Orri Erling.
SNB Interactive is the wild frontier, with very few rules. This is necessary, among other reasons, because there is no standard property graph data model, and because the contestants support a broad mix of programming models, ranging from in-process APIs to declarative query.
LDBC is presenting two papers at the next edition of the ACM SIGMOD/PODS conference held in Melbourne from May 31st to June 4th, 2015. The annual SCM SIGMOD/PODS conference is a leading international forum for database researchers, practitioners, developers, and users to explore cutting-edge ideas and results, and to exchange techniques, tools and experiences.
This post is the first in a series of blogs analyzing the LDBC Social Network Benchmark Interactive workload. This is written from the dual perspective of participating in the benchmark design and of building the OpenLink Virtuoso implementation of same.
For the third presentation this last 6th TUC Meeting held in Barcelona we were pleased to welcome Tomer Sagi from HP.
Watch his presentation called "HP Labs: Titan DB on LDBC Interactive" where Tomer introduced the history of the research performed at HP along with his latest work fields.
In a previous 3-part blog series we touched upon the difficulties of executing the LDBC SNB Interactive (SNB) workload, while achieving good performance and scalability. What we didn't discuss is why these difficulties were unique to SNB, and what aspects of the way we perform workload execution are scientific contributions - novel solutions to previously unsolved problems. This post will highlight the differences between SNB and more traditional database benchmark workloads. Additionally, it will motivate why we chose to develop a new wo
As discussed in previous posts, one of the features that makes Datagen more realistic is the fact that the activity volume of the simulated Persons is not uniform, but forms spikes. In this blog entry I want to explain more in depth how this is actually implemented inside of the generator.