1,090 research outputs found

    Design and Implementation of the L-Bone and Logistical Tools

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    The purpose of this paper is to outline the design criteria and implementation of the Logistical Backbone (L-Bone) and the Logistical Tools. These tools, along with IBP and the exNode Library, allow storage to be used as a network resource. These are components of the Network Storage Stack, a design by the Logistical Computing and Internetworking Lab at the University of Tennessee. Having storage as a network resource enables users to do many things that are either difficult or not possible today, such as moving and sharing very large files across administrative domains, improving performance through caching and improving fault-tolerance through replication and striping. Next, this paper reviews the L-Bone, a directory service for Internet Backplane Protocol (IBP) storage servers (depots) which stores information about the depots and allows clients to query the service for depots matching specific requirements. The L-Bone has three major components: a client API, a stateless RPC server and a database backend. Because the L-Bone is intended to be a service available to anyone on the wide-area network, response time is critical. The current implementation provides a reliable service and a fast service. Average response times from remote clients are less than half a second. Lastly, this paper examines the Logistical Tools. The Logistical Tools are a set of command line tools wrapped around a C API. They provide a higher level of functionality built on top of the exNode Library as well as the L-Bone library, IBP library and the Network Weather Service (NWS) library. This set of tools allows a user to upload a file into an exNode, download the data from that exNode, add more replicas or remove replicas from the exNode, check the status of the exNode and modify the expiration times of the IBP allocations. To highlight the capabilities of these tools and the overall benefits of using exNodes, I perform tests that look at the performance improvements through local replication (caching) as well as tests that look at the higher levels of fault-tolerance through replication. These tests show that using replication for caching can improve access time from 2 to 16 times and that using simple replication can provide nearly 100% availability

    Activities of the Remote Sensing Information Sciences Research Group

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    Topics on the analysis and processing of remotely sensed data in the areas of vegetation analysis and modelling, georeferenced information systems, machine assisted information extraction from image data, and artificial intelligence are investigated. Discussions on support field data and specific applications of the proposed technologies are also included

    Remote Sensing Information Sciences Research Group, year four

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    The needs of the remote sensing research and application community which will be served by the Earth Observing System (EOS) and space station, including associated polar and co-orbiting platforms are examined. Research conducted was used to extend and expand existing remote sensing research activities in the areas of georeferenced information systems, machine assisted information extraction from image data, artificial intelligence, and vegetation analysis and modeling. Projects are discussed in detail

    Application of remote sensing to selected problems within the state of California

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    There are no author-identified significant results in this report

    Application of remote sensing to selected problems within the state of California

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    There are no author-identified significant results in this report

    Engineering at San Jose State University, Fall 2017

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    https://scholarworks.sjsu.edu/engr_news/1016/thumbnail.jp

    Spartan Daily, February 23, 1966

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    Volume 53, Issue 72https://scholarworks.sjsu.edu/spartandaily/4806/thumbnail.jp

    Spartan Daily, February 23, 1966

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    Volume 53, Issue 72https://scholarworks.sjsu.edu/spartandaily/4806/thumbnail.jp

    An Innovative, Multidisciplinary Educational Program in Interactive Information Storage and Retrieval

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    There exists a large number of large-scale bibliographic Information Storage and Retrieval Systems containing large amounts of valuable data of interest in a wide variety of research applications. These systems are not used to capacity because the end users, i.e., the researchers, have not been trained in the techniques of accessing such systems. This thesis describes the development of a transportable, university-level course in methods of querying on-line interactive Information Storage and Retrieval systems as a solution to this problem. This course was designed to instruct upper division science and engineering students to enable these end users to directly access such systems. The course is designed to be taught by instructors who are not specialists in either computer science or research skills. It is independent of any particular IS and R system or computer hardware. The project is sponsored by NASA and conducted by the University of Southwestern Louisiana and Southern University
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