ACM SIGMOD 2010 Programming Contest
Posted: November 20, 2009 Filed under: News, Research | Tags: acm, distributed systems, programming contest, relational database, SIGMOD 3 Comments »As you know, SIGMOD is ACM’s Special Interest Group on Management of Data. SIGMOD holds the annual conference that is regarded as one of the best conference in computer science. Besides, SIGMOD organizes a programming contest in parallel with the ACM SIGMOD conference. Below description is the call for the programming contest of this year. The programming contest’s subject of this year seems very interesting! The task is to implement a simple distributed query executor built on top of last year’s main-memory index. The environment on which contestants will test their implementation may be provided by Amazon. If you are interested in this programming contest, try that. You can get further information from here (http://dbweb.enst.fr/events/sigmod10contest).
A programming contest is organized in parallel with the ACM SIGMOD 2010 conference, following the success of the first annual SIGMOD programming contest organized last year. Student teams from degree-granting institutions are invited to compete to develop a distributed query engine over relational data. Submissions will be judged on the overall performance of the system on a variety of workloads. A shortlist of finalists will be invited to present their implementation at the SIGMOD conference in June 2010 in Indianapolis, USA. The winning team, to be selected during the conference, will be awarded a prize of 5,000 USD and will be invited to a one-week research visit in Paris. The winning system, released in open source, will form a building block of a complete distributed database system which will be built over the years, throughout the programming contests.
CIKM 2009 in Hong Kong
Posted: November 10, 2009 Filed under: Research | Tags: cikm, cikm09, conference, Hong Kong, spider 7 Comments »With Min Kyoung Sung who is a coauthor of ‘SPIDER : A System for Scalable, Parallel / Distributed Evaluation of large-scale RDF Data‘, I participated in 18th ACM CIKM 2009 (Conference on Information and Knowledge Management) held in Hong Kong. We stayed in Marriott Hotel near the Asia World-Expo at which CIKM 2009 held. At this conference, I got along with several Korean researchers (Kyong-Ha Lee, Jinoh Oh, and Sangchul Kim) and I discussed about SPIDER with some researchers who are interested in RDF data processing during the demonstration session.
At CIKM 2009, I felt that the recent trend of web data management are being changed to information extraction and semantic or structured web data rather then unstructured data. Many papers and posters addressed these issues. In addition, the subject of the panel was ‘ Information extraction meets relational databases: Where are we heading?’ One of the panel said that the hot spot of web data management research changes from crawling, indexing, and searching to information extraction and semantic data. These changes lead to new various data and knowledge management issues. Besides information extraction, graph data mining was one of the main hot issues in CIKM 2009.
At the main keynote, Kyu-Young Hwang (KAIST, Korea) spoke ‘DB-IR Integration and Its Application to a Massively-Parallel Search Engine.’ Its key subject is that DB-IR integration is becoming one of major challenges in the database area, so it is leading to new DBMS architecture applicable to DB-IR integration. In addition, Edward Chang (Google Research China) and Clement Yu (University of Illinois at Chicago) spoke ‘Confucius and its intelligent Disciples‘ and ‘Advanced Metasearch Engines‘ respectively.
This conference was a really nice experience for me. I enjoyed the conference, reception, and banquet. However, I have an unsatisfied feeling because I didn’t participate in the 1st Workshop CloudDB 2009 in conjunction in CIKM 2009.
Anyway, this conference inspired Min Kyoung Sung and me. It may be kept in our mind for long time.
MapReduce Online Comes Out!
Posted: October 20, 2009 Filed under: Research | Tags: hadoop, map-reduce, online aggregation, stream queries 3 Comments »MapReduce has been gaining much attention in data intensive computing field. As you know, it is well known as a very popular framework for batch-processing.
Recently, however, Tyson Condie who is a Ph.D student in UC Berkeley accomplishes MapReduce Online. Today, I heard this news from Data Beta. Actually, It is amazing works since the original MapReduce is specialized and designed for only batch-processing. In addition, most people believe that MapReduce will remain a batch-processing.
The essential of MapReduce online is that it tries to hold the fault-tolerance model of the original MapReduce, whereas it provides the the pipelining of results across tasks and jobs instead of materializing the output of each MapReduce task and job into disk. Consequently, MapReduce online enables the program to return the result earlier from a big job.
You can get further information from MapReduce Online.
