Profile Driven Data Management

Profile Driven Data Management

Abstract:

Large amounts of data populate the Internet, yet it is largely unmanaged. Access to this data requires a wide array of network resources including server capacity, bandwidth, and cache space. Applications compete for these resources with little overarching support for its intelligent allocation. The database community has seen this problem before. Data management techniques (e.g., indexing, data organization, buffer management) have long been used in DBMS's to offset the demands of limited resources made by competing applications' requests for data. Such techniques are application-driven; a database administrator (DBA) consults with users to determine their data needs, and tweaks the knobs of data management tools accordingly. But the Internet environment, consisting of autonomous data sources and global in scale, cannot be tamed by a DBA. We take the view that in this environment, the DBA role must be automated, and the specification of application-level.


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