On one hand, many existing monitoring tools (e.g., PerfMon and pidstat) mainly focus on the high level resource usage data (e.g., CPU and memory). It is essential to monitor the behavior of these systems in the field and troubleshoot problems whenever they arise. Short Description: Many large scale software systems ranging from e-commerce websites (e.g., eBay) to telecommunication infrastructures (e.g., AT&T) are required to be available and ready to service by millions of users all the time. Required Background: Good programming skills (especially in Java) Good analytical and communication skills Interested in large complex software systems and automated software analysis. ![]() Supervisor:Zhen Ming (Jack) Jiang (zmjiang at cse dot yorku dot ca) Hunting for Bugs in Logging: applying JPF to log4j Modify these algorithms to improve performance on these datasets Evaluate current attentive algorithms on these datasetsģ. The student will work with senior graduate students, postdoctoral fellows and research scientists to help modify the attentive sensing technology to operate in these domains. ![]() The general problem is to use attentive sensing technology ( to visually detect and track multiple moving agents (e.g., skiers, riders, horses) and to select specific agents for active high-resolution smooth pursuit. Specific application domains under investigation include skiing, indoor BMX parks, and horse tracks. The goal of this project is to modify York University’s patented attentive sensor technology to the sport video recording market. ![]() Required Background: Good programming skills Good math skills Knowledge of C and MATLAB programming languages
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