Multi-mission Automated Instrument Product Generation Implemented Capabilities

The need for automated instrument product (experiment data records and reduced data records) generation is driven by mission performance requirements such as high data volumes, rapid product turnaround and product complexity combined with the need to keep operational costs low. Historically, missions have independently developed unique capabilities to manage production of critical instrument products with little or no inheritance. This paper discusses the multi-mission automated task invocation subsystem (MATIS), which is a distributed data processing framework for the automated generation of instrument products. It is a workflow manager that executes programs in a specific order and under specific conditions. Building a one-size-fits-all system is impossible because of mission requirements such as product turn-around time, the types and number of products to generate, and system requirements. MATIS is configurable, allowing for specific plug-ins. The implementation approach leveraged off inheritance of existing product generation capabilities, lessons learned from MER (Mars exploration rovers) and Cassini, and integration of applicable open-source software. This software benefits flight projects by lowering development and operations costs, and reducing risks while increasing reliability. It allows "lights-dim" operations support vs. round-the clock system staffing, and lowers the cost of operations (phase E) by allowing more flexibility to add/change product generation requirements and reduces training costs across supported missions. Although implemented to support instrument product generation, other project teams or subsystems requiring timely and reliable execution of programs and applications across all mission phases could utilize these capabilities. MATIS is currently supporting Phoenix in operations. It will also support (Mars Science Laboratory) and Diviner in the coming year.