IC Monday Seminar - Scalability for MMOs and Transaction Processing
Event details
| Date | 29.11.2010 |
| Hour | 16:15 |
| Speaker | Prof. Johannes Gehrke, Department of Computer Science, Cornell University, invited by Karl Aberer |
| Location |
INM202
|
| Category | Conferences - Seminars |
Abstract:
Massively Multiplayer Online Games (MMOs) are large simulations of virtual worlds where players can interact with each other and other non-player characters. Current MMO architectures execute the actions from the players and the associated game logic at the servers of the company hosting the game, resulting in huge scalability challenges. Business transaction processing faces similar challenges in that the database server has to scale to extremely high transaction rates.
In this talk, I will describe a novel server-less architecture for MMOs and scalable transaction processing. Our system is based on optimistic concurrency control separated into components that each can scale separately with the load on the system. I will show results from applying the architecture to MMOs and also describe ongoing work on apply the ideas to multi-tenant and elastic transaction processing in the cloud.
Bio:
Johannes Gehrke is a Professor in the Department of Computer Science at Cornell University. Johannes' research interests are in the areas of database systems and data mining. Johannes has received a National Science Foundation Career Award, an Arthur P. Sloan Fellowship, an IBM Faculty Award, the Cornell College of Engineering James and Mary Tien Excellence in Teaching Award, and the Cornell University Provost's Award for Distinguished Scholarship. He co-authored the undergraduate textbook Database Management Systems (McGrawHill (2002), currently in its third edition), used at universities all over the world. Johannes is also an Adjunct Faculty at the University of Tromsø in Norway. He is spending the 2010/2011 academic year visiting the Max Planck Institute for Software Systems in Germany.
Johannes was Program co-Chair of the 2004 ACM International Conference on Knowledge Discovery and Data Mining (KDD 2004), and Program Chair of the 33rd International Conference on Very Large Data Bases (VLDB 2007). From 2007 to 2008, he was Chief Scientist at FAST, A Microsoft Subsidiary.
Practical information
- General public
- Free
Contact
- Christine Moscioni