Scalable Database Systems









      The Scalable Database Systems group at the IBM T.J.Watson Research Center is investigating fundamental research issues for the next generation of highly scalable, high performance database and decision support systems.

    Our research interest includes:

    • Query Processing and Algorithms: Sorting, Block-Oriented Processing, better indexing.
    •  Data Warehousing: MultiDimensional Clustering, Aggregations,  Load and Purge.
    • Database architecture issues:  Large-Memories, Tertiary Storage, NUMA & COMA.
    •  Parallel Database Issues:  we architected IBM's DB2 Parallel Edition Product.
    • Web and Semi-Structured databases: XML repositiories, distributed XML query processing.
    •  Client-Server Data Issues: Web and database interaction, caching issues.
    •  Scalable data mining: Algorithms, performance,  and new applications in E-Commerce.
    The following diagram provides an overview of our past and present activities.








      Our current projects:

    • Multidimensional Clustering
    •  XML Data  Access
    •  DB2 tertiary Storage integration
    • Database Processing


    Click here for  a subset of  our publications.
     
     

    IBM Research      Data Management