Showing 107 open source projects for "cloud"

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  • 1
    Project to allow storage and retrieval of data in different formats. Main aim is to allow it to be used for cloud based systems, or as the basis of a cloud based system.
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  • 2
    Basic concepts of And-Learning 1. INTRODUCTION The object of this report, is to be good as starting point for the development of a platform of and-learning whose nucleus is based in PHP-cloud. The following points are an analysis and ..
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  • 3
    Green Cloud Online portal

    Green Cloud Online portal

    Green cloud: A versatile sensor based precision agriculture system, in

    In Green Cloud here is a central global server which does the work of global database management along with providing complex analysis services for the users (farmers, scientists) through the client machines and the public access web portal. The existing agricultural databases throughout the world can also be used for inference purposes and their data may also be updated by our server.
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  • 4
    CrystalDragon

    CrystalDragon

    Crystal Dragon is a cloud server dedicated for Dragon Web Browser

    Crystal Dragon is a cloud server dedicated for Dragon Web Browser. It's meant to be as fast and as lightweight as possible and provide full synchronization of user-generated content in Dragon Web Browser project. Safety is our first priority - communication with clients is encrypted using OpenSSL library.
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  • 5
    Central hosted cloud computing has to many bad security implications. So the purpose of AAPD is to provide a decentralized private cloud of disk storage.
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  • 6
    Repair Me
    Repair me is designed to be a repair order application for automotive shops. It is currently in the planning stages, so there are no files available. The goal is to become a cloud computing RO system. Features include: Reports, Contact Management System,
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  • 7
    Firewater is an open source scaleout RDBMS based on column store technology. It allows a cluster of commodity servers or virtualized cloud nodes to be used for fast response times on SQL and OLAP queries over massive datasets.
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