Tuesday, November 3, 2015 10:30 AM EST
Speaker: |
Andy Pavlo, Carnegie Mellon University |
Tuesday, October 27, 2015 3:30 PM EDT
Speaker: |
Susan Dumais, Microsoft |
Monday, October 19, 2015 10:30 AM EDT
Abstract: |
Distributed data processing platforms such as MapReduce and Pregel have substantially simplified the design and deployment of certain classes of distributed graph analytics algorithms. However, these platforms do not represent a good match for distributed graph mining problems, as for example finding frequent subgraphs in a graph. |
Tuesday, October 6, 2015 10:00 AM EDT
Speaker: |
Hella-Franziska Hoffmann |
Friday, October 2, 2015 10:30 AM EDT
Thursday, October 1, 2015 2:00 PM EDT
Abstract: |
Global web applications face the problem of high network latency due to their need to communicate with distant data centers. Many applications use edge networks for caching images, CSS, javascript, and other static content in order to avoid some of this network latency. However, for updates and for anything other than static content, communication with the data center is still required, and can dominate application request latencies. |
Monday, September 14, 2015 2:00 PM EDT
Speaker: |
Mike Stonebraker, MIT |
Wednesday, September 2, 2015 12:45 PM EDT
Speaker: |
Greg Drzadzewski |
Monday, July 6, 2015 2:00 PM EDT
Abstract: |
The considerable interest in distributed systems that can execute algorithms to process large graphs has led to the creation of many graph processing systems. However, existing systems suffer from two major issues: (1) poor performance due to frequent global synchronization barriers and limited scalability; and (2) lack of support for graph algorithms that require serializability, the guarantee that parallel executions of an algorithm produce the same results as some serial execution of that algorithm. |
Monday, July 6, 2015 1:30 PM EDT
Speaker: |
Wolfgang Lehner, TU Dresden |
Wednesday, June 3, 2015 1:00 PM EDT
Monday, May 25, 2015 1:30 PM EDT
Abstract: |
There has recently been an increase in the number of RDF knowledge bases published on the Internet. These rich RDF data sets can be useful in answering many queries, but much more interesting queries can be answered by integrating information from different data sets. |
Sunday, February 15, 2015 10:30 AM EST
Speaker: |
Willis Lang, Microsoft Jim Gray Systems Lab |