Factors in Performance Optimization of OSI Management Systems

The term flight management system (or FMCS, flight management computer system) is used to cover some equipment types which have been coming into service in recent years. In this context, it is taken to mean a system for handling horizontal and vertical navigation by various means (as distinct from purely performance management systems).Such an FMS consists of a computer or computers fed by data from a variety of services, and outputting information and control signals. In horizontal navigation, inputs may be inertial sensors and/or ground-based radio navigation facilities. For performance optimization, data are fed from a number of aircraft systems. This type of system is capable of independently computing several parameters and ‘pooling’ their information to provide a ‘best estimate’. Cockpit information in INS configuration is confined to specific digital displays and data input is, in the main, manual and limited to numerics. FMS goes a number of stages further and provides ‘pre-loaded’ storage of navigational information, and the ability to gain access to this information through an alphanumeric keyboard. It also handles, either directly or through a thrust management computer, the vertical profile of the flight. This includes both climb and descent, and cruise control.

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PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows

The International Journal of High Performance Computing Applications ◽

10.1177/1094342015594515 ◽

2016 ◽

Vol 31 (1) ◽

pp. 4-18 ◽

Cited By ~ 14

Author(s):

Ewa Deelman ◽

Christopher Carothers ◽

Anirban Mandal ◽

Brian Tierney ◽

Jeffrey S Vetter ◽

...

Keyword(s):

Data Analysis ◽

Performance Optimization ◽

Scientific Discovery ◽

Research Question ◽

Workflow Management ◽

Scientific Workflows ◽

Management Systems ◽

Workflow Management Systems ◽

Extreme Scale ◽

Systems Simulation

Computational science is well established as the third pillar of scientific discovery and is on par with experimentation and theory. However, as we move closer toward the ability to execute exascale calculations and process the ensuing extreme-scale amounts of data produced by both experiments and computations alike, the complexity of managing the compute and data analysis tasks has grown beyond the capabilities of domain scientists. Thus, workflow management systems are absolutely necessary to ensure current and future scientific discoveries. A key research question for these workflow management systems concerns the performance optimization of complex calculation and data analysis tasks. The central contribution of this article is a description of the PANORAMA approach for modeling and diagnosing the run-time performance of complex scientific workflows. This approach integrates extreme-scale systems testbed experimentation, structured analytical modeling, and parallel systems simulation into a comprehensive workflow framework called Pegasus for understanding and improving the overall performance of complex scientific workflows.

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