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    Machine Learning-Based Adaptive Load Balancing Framework for Distributed Object Computing by Helmy, Tarek

    Published 2006
    “…In this paper, we address the issue of judicious load balancing in distributed object computing systems. In order to decrease response time and to utilize services effectively, we have proposed and implemented a new technique based on machine learning for adaptive and flexible load balancing mechanism within the framework of distributed middleware. …”
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    article
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    Design of a multi-threaded distributed telerobotic framework by Al-Mouhamed, M.

    Published 2003
    “…It is based on most advanced software tools like NET Framework that promise definite advantages over DCOM (Distributed Component Object Model) and RPC (Remote Procedure Call), previously used for distributed applications. …”
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    article
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    GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework by Duong Thi Thu Van (19499206)

    Published 2022
    “…To address such issues, we propose a scalable, layered, fault-tolerance, and in-memory distributed computing-based graph neural network framework called Graph Distributed Learning Library (GDLL). …”
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    Model-based distributed object computing. (c2002) by Hage, Antoine F.

    Published 2002
    “…A key software technology supporting these trends is distributed object computing (DOC) middleware. DOC middleware facilitates the collaboration of local and remote application components in heterogeneous distributed environments. …”
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    masterThesis
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