For cross-platform real-time systems, cloud computing technology is an innovative application of pattern recognition method. This study is the use of associative memory of the way to do the work of pattern recognition; this system is real-time client-server type network pattern recognition system. Remote user can operate through the browser to draw the shape or character of industrial components, and recognition system to the database through Internet search. We performed two experiments one with traditional approach and other with pattern recognition fault aware approach. The results show the effectiveness of the scheme.
Fault tolerance, scheduling, performance metrics, cloud computing, QoS.