VLDB 2010 , 36th International Conference on Very Large Data Bases
  Singapore : 13 to 17 Sept 2010, Grand Copthorne Waterfront Hotel
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   VLDB2010 are white and red as the Singapore flag: Photo by Courtesy of Eugene Tang/Singaporesights.com
Tutorial 1

Anil Nori 

Anil Nori is a Distinguished Engineer in the Application Server Group (ASG) at Microsoft, focusing on application and data platform technologies. His current areas of focus include: Application Servers for Enterprise and Cloud deployments, Messaging Systems, Caching/In-memory databases, Rich client/mid-tier data and application architectures, Data/Application hosting, and Data/App manageability. He has over 30 years of experience in building complex database and application systems.
Before coming to Microsoft, Anil was co-founder and CTO of Asera Inc., which built on-demand application platform, tools, and hosted solutions in Order Management and Supply Chain Management. Prior to Asera, Anil was at Oracle as a database server architect for Oracle7, Oracle8, and Oracle8i database releases. At Oracle, he drove the efforts in Oracle object-relational and extensible technology, Internet and multi-media DBMS development, and XML technologies. Before joining Oracle, Anil was a Database Architect for DEC database products, where he was involved in the development of centralized and distributed DBMS products. Anil also worked, as a Computer Scientist at Computer Corporation of America, on well-known distributed and semantic database research projects like SDD-1, ADAPLEX, and Multibase.
He is actively involved in the database and application server research community. He has published papers, gave talks, and presented tutorials at research and industry conferences. Anil holds over 25 patents in the field of database and application platform technologies.

With the advances in processing, memory, and connectivity technologies, applications are becoming increasingly distributed, data-centric, and web based. These applications demand support for large number of users at high performance, requiring extreme scale, high availability, and low latency data access. Such applications are known as Extreme Transaction Processing (XTP) applications. Distributed Caching Platforms exploit the advances in the memory and networking technologies to fuse memory on multiple machines into a single unified global memory providing data access at low latencies. The Distributed Caching Platforms are evolving into in-memory data platforms for XTP applications. This tutorial provides a comprehensive overview of Distributed Caching Platform technologies, commercial products, and their usage.

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