Query Processing, Approximation, and Resource Management in a Data Stream Management System

This paper describes our ongoing work developing the Stanford Stream Data Manager (STREAM), a system for executing continuous queries over multiple continuous data streams. The STREAM system supports a declarative query language, and it copes with high data rates and query workloads by providing approximate answers when resources are limited. This paper describes specific contributions made so far and enumerates our next steps in developing a general-purpose Data Stream Management System.

• Type: Conference
• Year: 2003
• Where: CIDR
• Authors: Rajeev Motwani, Jennifer Widom, Arvind Arasu, Brian Babcock, Shivnath Babu, Mayur Datar, Gurmeet Singh Manku, Chris Olston, Justin Rosenstein, Rohit Varma
• Keywords: CIDR 2003, CIDR 2007, Data Stream, General-purpose Data Stream, Stanford Stream Data