rychirko

Apr 29, 2005

Self-Managing DBMS Technology

Surajit ChaudhuriMicrosoft Research The cost of ownership of any commercial database system is significant. The AutoAdmin project at Microsoft Research was started in late 1996 (well before the term Autonomic Computing became fashionable) to develop techniques to reduce the overhead of database administration. Our goal was to make it easier to monitor the server and…

Mar 4, 2005

Data Semantics Revisited

John MylopoulosUniversity of Toronto The problem of data semantics is establishing and maintaining a correspondence between a data source (e.g., a database of an XML document) and its intended subject matter. We review the long history of the problem in Databases, and contrast it with current work on the Semantic Web. We then propose two…

Feb 4, 2005

The EDAM Project: Mining Mass Spectra and More

Raghu RamakrishnanUniversity of Wisconsin – Madison The EDAM project is a collaborative effort between computer scientists and environmental chemists at Carleton College and UW-Madison. The goal is to develop data mining techniques for advancing the state of the art in analyzing atmospheric aerosol datasets. The traditional approach for particle measurement, which is the collection of…

Nov 12, 2004

Logical Spreadsheets

Michael GeneserethStanford University Despite their successes, computerized spreadsheet systems have unnecessary restrictions that limit their usefulness. One such restriction is the “functional” nature of the formulas used to specify calculations – for every combination of values of the “directly specified” cells, the formulas specify unique values for the “computed” cells. In this presentation, we discuss…

Oct 29, 2004

Probabilistic Answers to Queries

Dan SuciuUniversity of Washington This talk promotes a new query paradigm, in which incomplete and conflicting evidences are collected from a variety of data sources and used to answer complex queries. The system assigns a probability to each tuple in the answer and uses it to rank the results. The first part of the talk…

Oct 18, 2004

On Peer-to-Peer Data Management in Pervasive Computing Environments

Yelena YeshaUniversity of Maryland Baltimore County A pervasive computing environment represents a resource-rich, data-intensive environment where users and devices, including handhelds, wearables, computers in vehicles, computers embedded in the physical infrastructure, and (nano)sensors, are mobile and continuously exchange data. In order to exploit the available resources, mobile devices must act as semi-autonomous, self-describing, highly interactive…

Oct 1, 2004

Trust-X: A System for Trust Negotiation in Open Systems

Elisa BertinoPurdue University In this talk, we will present Trust-X, a comprehensive XML-based framework for trust negotiations. Trust negotiation is a promising approach for establishing trust in open systems like the Internet, where sensitive interactions may often occur between entities at first contact, with no prior knowledge of each other. The framework we propose takes…

Sep 17, 2004

FATES: Automatically-tuned Database Storage Management

Anastassia AilamakiCarnegie Mellon University This talk describes Fates, a dynamic, robust, and automated system for database storage management. Borrowing from the Greek mythology, Fates includes three components that establish proper abstractions in the database storage system: Clotho decouples in-memory data layout from on-disk storage layout, providing the opportunity to design efficient data placement at each…

May 7, 2004

An Introduction to Trust Negotiation

Marianne WinslettUniversity of Illinois at Urbana-Champaign Automated trust negotiation is a new approach to access control and authentication for the open, flexible systems formed by sets of organizations that must dynamically form coalitions and work together to respond to unforeseen needs and opportunities. Automated trust negotiation enables open computing by assigning an access control policy…

Apr 16, 2004

The TIMBER XML Database, and Some Applications

H. V. JagadishUniversity of Michigan Timber is a native XML database system under development at the University of Michigan. It is native, in that it has been designed from the ground up as an XML system. It is a database system, in that it has the same major modules as a relational database system, including…