66 projects for "cloud computing software" with 2 filters applied:

  • Forever Free Full-Stack Observability | Grafana Cloud Icon
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  • 1
    An adaptive mini database learns algorithmic operations for data intensive algebraic computational methods within a pervasive computing graph. It also provides generic structures and algorithms as a data fabric.
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  • 2
    A framework for building, deploying and managing well-described REST-ful Web services, including REST-ful Web Services realizations for RSS, XML Topic Maps, Structured Arguments, and Workflow.
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  • 3
    The CommGen platform is intended to be a simple, scalable integration platform for small to medium problem sets. The architecture is simple, consisting of a distributed kernel, distributed O/S, agent and application layer.
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  • 4
    The Zeus-Framework is a C++ framework using the paradigm of Cell Computing Model for Linux and Windows. Implements biological behaviours (cloning, genetic algorithmes, ect.). Used for grid computing, distribute systems etc.
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  • 5
    "Distributed breve" (distbreve) is an open-source software package to make the process of implementing asynchronous, parallelizable steve code running under the breve simulation environment easily distributable amongst as many compute nodes as possible.
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  • 6
    MIC* comes with a new vision of multi-agent system engineering: The multi-agent system is devided explicitly into two dimensions: the deployment environment and the autonomous agents. MIC* is an algebraic model of a deployment environment (container of a
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  • 7
    CAMA (Context-Aware Mobile Agents) is a middleware for supporting mobile agents coordination. It is based on Linda-style coordination and provides numerous extentions for interoperability and fault-tolerance. It supports portable platforms such as PDAs.
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  • 8
    A java framework for developing meta-heuristics that supports the use of grids environments. The meta-heuristics planned to be realeased are GAs, VNS and NNs. The grid middleware that will be firstly explored is the OurGrid solution.
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  • 9
    myMAS is a framework for writing distributed, agent based Java applications.
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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

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  • 10
    VKAS - a genetic function finder

    VKAS - a genetic function finder

    An AI program that deploys genetic programming

    VKAS uses genetic programming methods to find out the relationship among a set of independent and dependent variable. It is a problem solver software which uses evolutionary computing methods. When vkas is run, it creates a population of chromosomes at random. This population is then genetically modified and next population is generated. Each population is subjected to fitness calculation and if a suitable answer chromosome is found then vkas stops and the answer is printed. ...
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  • 11
    Cluster Networks are a new style of neural simulation / neural network modeling, that models networks of neural populations ("clusters") that transform and transmit information using precisely-timed, graded bursts ("pulses" or "volleys") of firing.
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  • 12
    Zeus Grid is a Grid Computing environment usefull to run systems in heterogenous machines at same time. In this first step, it will only compile, run and collect application results and file storage.
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  • 13
    IslandEv distributes a Genetic Algorithm (like <a href="/projects/jaga">JaGa</a>) across a network (see <a href="/projects/distrit">DistrIT</a>) using an island based coevolutionary model in which neighbouring islands swap migrating individuals every
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  • 14
    Web site describing a project I intend to research for open source MIT. Describes a hypothetical platform for "wise computing".
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  • 15
    This project aims to build a full featured C++ (and possibly Python) library and associated tools which facilitate building Artificial Life simulations in a distributed environment.
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  • 16
    pySPACE

    pySPACE

    Signal Processing and Classification Environment in Python using YAML

    ...SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface. For obtaining a zip file of the current state use: https://github.com/pyspace/pyspace/archive/master.zip
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