Elke A. RundensteinerDatabase Systems Research Group

Email: rundenst@cs.wpi.edu

Office: Fuller 238

Phone: Ext. – 5815

WebPages: http://www.cs.wpi.edu/~rundenst

http://davis.wpi.edu/dsrg

CAPE : Engine for Querying and Monitoring Streaming Data

Example of Stream Data Applications:• Market Analysis

–Streams of Stock Exchange Data - get rich• Critical Care

–Streams of Vital Sign Measurements – save lives

• Physical Plant Monitoring–Streams of Environmental Readings – protect env

data

Query

Query

QueryQuery

datadata

data

datadata

streamsof data

static data

Standing queries

one-time queries

Stream Query Monitoring Projects

CAPE Query Engine Load Spiller Service (JAVA): Service for run-time spill/unspill services for a complete query plan Design query policies, operator data structures, algorithms Implement in CAPE engine, conduct experiments

Event Pattern Monitoring Engine Support Sequence Queries and Extend to more Complex AND/OR Patterns Handle out-of-order event input arrivals by either logging and result-

correction or by exploiting predicting meta-data messages Scale to support multiple event queries

RFID Data Service Install actual RFID equipment in some campus environment Support simple data collection and tracking queries, of either goods or

people Handling missing values or clean-up errors using domain knowledge

Visual Stream Monitoring Tool Target a real stream application, such as flow simulation tool Develop algorithms for multi-resolution data aggregation in time and space Support visual query refinement of asking about a particular object or region

CAPE Query Engine Load Spiller Service (JAVA): Service for run-time spill/unspill services for a complete query plan Design query policies, operator data structures, algorithms Implement in CAPE engine, conduct experiments

Event Pattern Monitoring Engine Support Sequence Queries and Extend to more Complex AND/OR Patterns Handle out-of-order event input arrivals by either logging and result-

correction or by exploiting predicting meta-data messages Scale to support multiple event queries

RFID Data Service Install actual RFID equipment in some campus environment Support simple data collection and tracking queries, of either goods or

people Handling missing values or clean-up errors using domain knowledge

Visual Stream Monitoring Tool Target a real stream application, such as flow simulation tool Develop algorithms for multi-resolution data aggregation in time and space Support visual query refinement of asking about a particular object or region

Acquisition: Brand New Purchase of 20-Node High-Performance PC Cluster (Rundensteiner/Mani/Heineman – NSF )

Project 1: Implement and evaluate allocation/re-allocation algorithms for assigning stream query nodes to processor

Project 2: Implement and compare two solutions for migrating at run-time query plans into new rewritten plans

Project 3: Develop launch-pad for statistics monitoring for monitoring DCAPE experiments

Acquisition: Brand New Purchase of 20-Node High-Performance PC Cluster (Rundensteiner/Mani/Heineman – NSF )

Project 1: Implement and evaluate allocation/re-allocation algorithms for assigning stream query nodes to processor

Project 2: Implement and compare two solutions for migrating at run-time query plans into new rewritten plans

Project 3: Develop launch-pad for statistics monitoring for monitoring DCAPE experiments

• PC-Cluster Java Applications