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Machine Learning-Based Adaptive Load Balancing Framework for Distributed Object Computing
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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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework
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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A Framework for the development of distributed applications
Published 1993Get full text
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Design of a multi-threaded distributed telerobotic framework
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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A distributed framework for relaying stereo vision for telerobotics
Published 2004Get full text
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A Load balancing framework for distributed and parallel applications
Published 1996Get full text
masterThesis -
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IIoT based framework for large-scale distributed smart farms
Published 2020Get full text
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Blockchain-enabled distributed learning for enhanced smart grid security and efficiency
Published 2024“…Decentralization enhances fault tolerance by distributing control across nodes. Our framework excels in scalability, data-exchange security, and rapid response times, aiming to establish an intelligent blockchain-based smart grid supporting centralized learning (CL), federated learning (FL), and active federated learning (AFL). …”
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A PARALLEL AND DISTRIBUTED FRAMEWORK FOR IMPLEMENTING BACK PROPAGATION ALGORITHM IN BIG DATA
Published 2020Get full text
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RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems
Published 2021“…To support resource and delay requirements of such paradigm, joint and real-time deep co-inference framework with IoT synergy was introduced. However, scheduling the distributed, dynamic and real-time Deep Neural Network (DNN) inference requests among resource-constrained devices has not been well explored in the literature. …”
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Model-based distributed object computing. (c2002)
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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ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework
Published 2024“…This study presents a two-phase intelligent approach to address these challenges. The framework proactively predicts different slice loads while considering prediction errors in optimizing future slices with varied KPIs in a cost-efficient manner. …”
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A Collaborative Service Discovery and Service Sharing Framework for Mobile Ad Hoc Networks
Published 2007“…In this paper, we propose a distributed and scalable service discovery and sharing framework for ad hoc networks. …”
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