HIGH PERFORMANCE AND GRID COMPUTING WITH LIVELINESS AND DEADLINES FAULT TOLERANT DATA DISTRIBUTOR QUALITY OF SERVICE

摘要

High performance computing (HPC) and grid computing processing for seismic and reservoir simulation are performed without impacting or losing processing time in case of failures. A Data Distribution Service (DDS) standard is implemented in High Performance Computing (HPC) and grid computing platforms, to avoid the shortcomings of current Message Passing Interface (MPI) communication between computing modules, and provide quality of service (QoS) for such applications. QoS properties of the processing can be controlled. Multiple data publishers or master nodes of a cluster have access to the same data source. Each of these publishers has an ownership strength quality of service, and the publisher with the highest ownership strength number is the designated publisher of the data to subscriber processor nodes of the cluster. If the designated data publisher prematurely terminates or crashes for some reason, then the publisher node with the next highest ownership strength measure is designated as data publisher and continues publishing data to subscribers. The QoS properties include ability to switch to a different designated publisher when the input data is being processed in real time, and a specified deadline time has passed during which data has not been published.