Light-Weight Problem Determination in DB2

The desire to offer on-demand 24/7 services means there is pressure to quickly identify and resolve problems in a database management system (DBMS). Problem determination tools rely on the existence of sufficient monitoring data to support analysis but monitoring introduces overhead and so causes decreased application performance. The proposed research seeks to provide effective light-weight tools for monitoring and analysis to support problem determination in DBMSs.

Light-weight Monitoring of DB2

The desire to offer on-demand, 24/7 services means there is pressure to quickly identify and resolve problems in a database management system (DBMS). Problem determination tools rely on the existence of sufficient monitoring data to support analysis but monitoring introduces overhead and so causes decreased application performance. The proposed research seeks to provide effective light-weight tools for monitoring and analysis to support problem determination in DBMSs.

Simplified Mathematical Models to Describe Ethylene Oxide Catalyst Activity and Selectivity

The scope of this project is to develop alternative simplified mathematical models for the description of ethylene oxide catalyst activity and selectivity decline based on plant historical data. The models will be employed and evaluated for on line performance monitoring and prediction. Adaptive, online model estimation procedures may be required for these purposes.

A Defense System Against DDoS Attacks

Distributed Denial of Service (DDoS) attacks are widely regarded as a major threat to the Internet because of their ability to make a service unavailable and create a huge volume of unwanted traffic. Unwanted traffic control is one of the most important challenges of Bell Canada. Current countermeasures cannot assure higher quality of service under a tremendous increase in unwanted traffic.

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