Model selection based on a predictive performance measure is compared to model selection based on maximum likelihood. Both procedures exhibit unstable relative performance when predictive performance is measured over ...
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Implementation of a kernel-level consistency control mechanism called invocation-based consistency control (IBCC) is presented. IBCC supports general-purpose persistent object-based distributed computing. It provides ...
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Implementation of a kernel-level consistency control mechanism called invocation-based consistency control (IBCC) is presented. IBCC supports general-purpose persistent object-based distributed computing. It provides mechanisms that support a range of powerful, well-defined consistency semantics. IBCC mechanisms can also be used to implement custom recovery and synchronization. An operating-system-level implementation of IBCC as part of the Clouds distributed operating system that uses memory faulting to initiate locking and intermediate version creation is also given. Performance aspects are discussed, as well as the overhead incurred by supporting IBCC in terms of additional data structures needed in the operating system, and the additional amount of required code.< >
Clouds LISP distributed environments (CLIDE) is a distributed, persistent object-based symbolic programming system being implemented on the Clouds distributed operating system. LISP environment instances are stored as...
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Clouds LISP distributed environments (CLIDE) is a distributed, persistent object-based symbolic programming system being implemented on the Clouds distributed operating system. LISP environment instances are stored as large-grained persistent objects, enabling users on many machines to share the contents of these environments through interenvironment evaluations. CLIDE provides a comprehensive research environment for distributed symbolic language, invocation and consistency semantics, and an implementation vehicle for the construction of the symbolic processing portions of complex megaprogrammed systems.< >
Design for dependability has long been an important issue for computersystems. While several dependability analysis tools have been produced, no effort has been made to automate the design for dependability. This pap...
ISBN:
(纸本)9780897913638
Design for dependability has long been an important issue for computersystems. While several dependability analysis tools have been produced, no effort has been made to automate the design for dependability. This paper describes ASSURE, an automated design for dependability advisor, which is part of the MICON system for rapid prototyping of small computersystems. A design for dependability methodology and a formal interface between synthesis and dependability analysis are presented. ASSURE's operation includes dependability analysis, evaluation of dependability enhancement techniques using predictive estimation, and selection of a technique. Different kinds of knowledge used in designing for dependability are identified, including an algorithmic approach for dependability analysis and a knowledge-based approach for suggesting dependability enhancement techniques. Examples of designs produced using ASSURE as a dependability advisor are provided and show an order of magnitude dependability improvement.
作者:
Raymond JacobyYoshihiro TohmaTOSHIBA Corporation
Systems & Software Engineering Laboratory Saiwat-ku Kawasaki-shi 210 Japan and Department of Computer Science Tokyo Institute of Technology Ookayama 2-12-1 Meguro-Ku Tokyo Department of Computer Science
Tokyo Institute of Technology Ookayama 2-12-1 Meguro-Ku Tokyo
作者:
KING, JFBARTON, DEJ. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston
Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston
Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr
A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several know...
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A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several known alternatives need to be rapidly evaluated. A problem inherent in rapid prototyping is the lack of a "target system" with which to interface. Some alternatives are to develop test driver libraries, integrate the prototype with an existing working simulator, or build one for the specific problem. This paper presents a unique approach to concept development using rapid prototyping for concept development and scenario-based simulation for concept verification. The rapid prototyping environment, derived from artificial intelligence technology, is based on a blackboard architecture. The rapid prototype simulation capability is provided through an object-oriented modeling environment. It is shown how both simulation and blackboard technologies are used collectively to rapidly gain insight into a tenacious problem. A specific example will be discussed where this approach was used to evolve the logic of a mission controller for an autonomous underwater vehicle.
A case study of the application of a distributed control scheme to a power system control is presented. In addition, an investigation has been conducted into voltage control. Combined injection of VAr-compensating dev...
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A case study of the application of a distributed control scheme to a power system control is presented. In addition, an investigation has been conducted into voltage control. Combined injection of VAr-compensating devices controlled by distributed expert systems has been proposed as a measure to maintain voltage stability in a power system under heavy loading conditions. A simulation study has been carried out by using five workstations that represent a power system and four VAr-compensating devices. The results demonstrate the effectiveness of the proposed system for voltage recovery.< >
The application of Petri net reduction to Ada-tasking deadlock detection is investigated. Net reduction can ease reachability analysis by reducing the size of the net while preserving relevant properties. By combining...
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The application of Petri net reduction to Ada-tasking deadlock detection is investigated. Net reduction can ease reachability analysis by reducing the size of the net while preserving relevant properties. By combining Petri net theory and knowledge of Ada-tasking semantics some specific efficient reduction rules are derived for Petri net models of Ada-tasking. A method by which a useful description of a detected deadlock state can be easily obtained from the reduced net's information is suggested.< >
Describes ASSURE, an automated design-for-dependability advisor, which is a part of the MICON system for rapid prototyping of small computersystems. A design-for-dependability methodology and a formal interface betwe...
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Describes ASSURE, an automated design-for-dependability advisor, which is a part of the MICON system for rapid prototyping of small computersystems. A design-for-dependability methodology and a formal interface between synthesis and dependability analysis are presented. ASSURE's operation includes dependability analysis, evaluation of dependability enhancement techniques using predictive estimation, and selection of a technique. Different kinds of knowledge used in designing for dependability are identified, including an algorithmic approach for dependability analysis and a knowledge-based approach for suggesting dependability enhancement techniques. Examples of designs produced using ASSURE as a dependability advisor are provided and show an order of magnitude dependability improvement.< >
The Command Support At-Sea Experiment (CS@SE) provides experimental advanced graphics display systems consisting of large screen color displays and operator console color displays in the combat information center (CIC...
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The Command Support At-Sea Experiment (CS@SE) provides experimental advanced graphics display systems consisting of large screen color displays and operator console color displays in the combat information center (CIC) of an Aegis cruiser and in the tactical flag command center (TFCC) of an aircraft carrier. CS@SE systems are designed to prototype potential command support capabilities in an at-sea environment to validate and refine requirements for planned production system upgrades. These systems use sophisticated color graphics techniques to provide real-time tactical displays that improve the availability of information to an operator by reducing clutter through the use of color, area fill, transparen overlays and intensity coding of track symbols. Interfaces wen developed with the Aegis Display System (ADS), Shipboarc Gridlock System with Auto-correlation (SGS/AC), Flag Dats Display System (FDDS) and Tomahawk Engagement Planning and Exercise Evaluation System (TEPEE) that provided the data for the presentation of a tactical display. Display elements included both real-time and over-the-horizon (OTH) surface track data, velocity leaders, tags, uncertainty ellipses, and history trails. The display also included filled land masses, country boundaries, commercial airways, cities, graphics overlays (i.e., operational areas), weapon system missile performance contours, and engagement plans. This paper describes the experiment, its installation and integration into the shipboard environments of an Aegis cruiser (USS Leyte Gulf ) and an aircraft carrier (USS America , its usage by the ships companies and embarked staffs, and the experiment result! and findings. Key conclusions of the experiment are: 1 Advanced graphics color displays can significantly enhance the ability of the warfighter to assimilate a complex tactical display. 2 Both ships reported a requirement for a correlated OTH and real-time track display with the ability to clearly differentiate the two types
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