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 C3I and Battle Management

  
 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


C3I and Battle Management

  • Adaptive Fault Tolerance: SoHaR is developing high-performance middleware based on CORBA technology to handle fault detection and recovery of large scale dispersed computer networks. The detection and recovery strategies change dynamically, based on the environment; hence the term adaptive is used to describe these approaches.

  • Practicable Fault Tolerant Software: SoHaR developed techniques to improve the reliability of Army tactical command and control systems by incorporating error detection, circumvention and recovery provisions aimed at specific frequent and critical software faults. This approach can be implemented much more readily than classical software fault tolerance techniques.

  • Fault Tolerant Software for Battle Management: In a two-year contract for RADC/COEE SoHaR developed techniques for the design and verification of fault tolerant software for real-time battle management tasks. The design method, based on fault trees, allowed the incorporation of n-version programming, recovery blocks, and rollback/retry and is the first attempt to integrate these techniques. The verification method, based on fault trees and condition tables, can also be applied to critical non-fault tolerant software.

  • Software Reliability and Estimation: SoHaR developed a prediction methodology and models for software and systems failures in a battle management environment. The methodology is particularly targeted at highly stressed computing environments in which resources may be lost due to normal attrition or due to enemy action.

  • Survey of Techniques for High Reliability in Battle Management Computers: SoHaR developed guidelines for evaluation of reliability attributes of computer architectures during the concept definition phase for the U. S. Army BMD organization.

  • Fault Tolerance in Large Distributed Databases: SoHaR was awarded a contract from the U.S. Air Force to develop fault tolerance techniques for large distributed databases (i.e., those containing image and related data) in real time systems. The project includes both development of the techniques and demonstration on a distributed testbed located at UCLA.

  • Fault Tolerance and Testability in C3I Distributed Systems: SoHaR conducted a multi-year study to determine design features that enhance the reliability of U.S. Air Force command, control, communications, and intelligence (C3I) systems. The study included a survey of the reliability and availability of major military, civilian governmental, and commercial computer networks and the development of guidelines for the development of reliable, testable, and maintainable distributed computing systems.

  • Support for Advanced Fault Tolerant Computing Systems: SoHaR supported the development of a high throughput fault tolerant computing system for battle management applications. Specific tasks included overall architecture definition, fault tolerance requirements definition, and conceptual design of the operating system.

 

 



©2001 SoHaR Corporation. All rights reserved.

 

analysis costing cycle life, availability, block design, block diagram, block diagram software, business continuity, business continuity planning, design fmea, engineering resource, fmea, fmea software, fmeca, fracas, hardware project, high availability, lcc, life cycle cost, life cycle costing, markov, markov chain, mil 217, mil hdbk 217, network analysis system, network availability, ram design, rbd, reliability, reliability analysis, reliability analysis software, reliability engineering, reliability modeling, reliability prediction, reliability prediction software, reliability services, reliability software, reliability tool, system reliability, tco, total cost of ownership, data prediction, process fmea, reliability availability, tco tool, integrated hardware support, prediction software, process flow software, reliability block diagram, sneak circuit analysis, markov reliability, analysis costing cycle life, hardware prediction, failure reporting, sneak circuit, tco analysis, reliability software tool, data safety software, hardware prediction software setstats 1