Showing papers on "Testbed published in 1984"
24 Apr 1984
TL;DR: The Mermaid testbed provides a uniform front end that makes the complexity of manipulating data in distributed heterogeneous databases under various data management systems transparent to the user.
Abstract: The Mermaid testbed system has been developed as part of an ongoing research program at SDC to explore issues in distributed data management. The Mermaid testbed provides a uniform front end that makes the complexity of manipulating data in distributed heterogeneous databases under various data management systems (DBMSs) transparent to the user. It is being used to test query optimization algorithms as well as user interface methodology.
34 citations
24 Apr 1984
TL;DR: The testbed software runtime environment to support the execution of the model and the support software to construct an existing model of the described architecture and to execute and monitor the model on the testbed are described in this paper.
Abstract: ADL/ADS is a testbed user interface tool for experimentation with critical research and design issues associated with distributed processing. One significant class of problems well-suited for investigation in a testbed are data engineering concepts. ADL/ADS provides a graphics interface for expressing a candidate distributed architecture at the Processor-Memory-Switch (PMS) level of hardware detail and the task-message-file level of software detail. Then the ADL/ADS support software is used to construct an existing model of the described architecture and to execute and monitor the model on the testbed. The testbed software runtime environment to support the execution of the model is described in this paper.
3 citations
24 Apr 1984
TL;DR: The rationale and conceptual design presented for the DCT, currently being developed at Honeywell's Systems and Research Center, is a highly reconfigurable and Instrumented tool that will allow experimentation in a variety of distributed computing areas, ranging from performance evaluation of media access protocols to concept validation of distributed fault-tolerance strategies.
Abstract: The rationale and conceptual design 1s presented for the Distributed Computer Testbed (DCT), currently being developed at Honeywell's Systems and Research Center. The DCT 1s a highly reconfigurable and Instrumented tool that will allow experimentation 1n a variety of distributed computing areas, ranging from performance evaluation of media access protocols to concept validation of distributed fault-tolerance strategies. Work 1s continuing on the detailed design and Implementation of DCT.
1 citations
1 citations
01 Jan 1984
TL;DR: An effort is currently in progress at Los Alamos National Laboratory, in collaboration with Paul Hudak of Yale University, to develop a testbed distributed implementation of a functional language based on combinator graph reduction, to facilitate the exploitation of implicit parallelism.
Abstract: Much interest has been generated by the notion of combinator graph reduction as a mechanism for the implementation of functional languages. An effort is currently in progress at Los Alamos National Laboratory, in collaboration with Paul Hudak of Yale University, to develop a testbed distributed implementation of a functional language based on this concept. Our overall goal is to facilitate the exploitation of implicit parallelism; within this framework, we intend to use this testbed to evaluate the utility of strategies for combinator graph reduction in a distributed computing system.
1 citations
31 Jan 1984
TL;DR: A review of early work on a project to develop autonomous vehicle control technology is presented in this paper, where the primary goal is the development of a generic capability that can be specialized to a wide range of DoD applications.
Abstract: : A review of early work on a project to develop autonomous vehicle control technology is presented. The primary goal of this effort is the development of a generic capability that can be specialized to a wide range of DoD applications. The emphasis in this project is development of the fundamental artificial intelligence-based technology required by autonomous systems and the implementation of a testbed environment to evaluate and demonstrate the system capabilities. (Author)
1 citations
23 Oct 1984
TL;DR: The OPTECAL project as discussed by the authors is an in-house program in the RADC Optical Systems Engineering Laboratory (OSEL) for "OPtical TEstbed for Control ALgorithms" that combines extensive analyses with hardware tests using a state-of-the-art platform.
Abstract: A number of promising approaches have been investigated for controlling multiple adaptive optics elements in space-based wide field-of-view telescopes. However, the individual control algorithms, and sensing and control components have never been evaluated against one another in simulation or hardware. The Air Force is undertaking an inhouse program in the RADC Optical Systems Engineering Laboratory called OPTECAL for "OPtical TEstbed for Control ALgorithms". The OPTECAL program will combine extensive analyses with hardware tests using a state-of-the-art platform to validate this control, with emphasis on the algorithms. Individual control and sensing components and algorithms, as well as integrated control system approaches, will be evaluated on the platform. An effort was recently completed to identify the key parameters the platform should address and to provide a preliminary testbed design incorporating these parameters. The design completion and construction of the OPTECAL platform will begin late in 1984 and delivery is expected in early 1986. Preliminary control simulations and experiments are now underway at RADC in preparation for the future OPTECAL studies. Initial milestones include the establishment of a basic adaptive optics test setup, a proof-of-concept deconvolution experiment, development of an optical modeling capability, and studies evaluating "deconvolution" techniques, phase retrieval approaches, and the effects of actuator transfer function uncertainties in wide field-of-view optics control. Later milestones include fully traceable experiments on the OPTECAL platform to optimize the integrated control system performance.