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

“…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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A Framework for the development of distributed applications by Al-Rashed, Mohammad Abdulaziz

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Design of a multi-threaded distributed telerobotic framework by Al-Mouhamed, M.

“…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 by Al-Mouhamed, M.

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A Load balancing framework for distributed and parallel applications by Haq, Syed Nisarul

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Incentive-Vacation Queueing in Extreme Edge Computing: An Analytical Reward-Based Framework by Sherif B. Azmy (21633329)

IIoT based framework for large-scale distributed smart farms by unknown

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Error resiliency transcoding and decoding solutions using distributed video coding techniques by Shanableh, Tamer

“…The proposed solutions make use of distributed video coding technologies which were originally reported in the literature for distributing coding complexity between the encoder and the decoder. …”
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A PARALLEL AND DISTRIBUTED FRAMEWORK FOR IMPLEMENTING BACK PROPAGATION ALGORITHM IN BIG DATA by unknown

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Model-based distributed object computing. (c2002) by Hage, Antoine F.

“…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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Factors affecting the adaptation of Could Computing in Banks by Abdullah, Waleed

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GDLL: A Scalable and Share Nothing Architecture Based Distributed Graph Neural Networks Framework by Duong Thi Thu Van (19499206)

“…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). …”

A framework for workflow application with emphasis on reusable distributed objects & active database. (c2001) by Khdeir, Vera

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Smart aquaponics: An innovative machine learning framework for fish farming optimization by Amith Khandakar (14151981)

Accessible Metaverse: A Theoretical Framework for Accessibility and Inclusion in the Metaverse by Achraf Othman (17862632)

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A multi-type artifact framework for cyber–physical, social systems design and development by Zakaria Maamar (17246311)

IoT empowered smart cybersecurity framework for intrusion detection in internet of drones by Syeda Nazia Ashraf (17541222)

Towards next generation Internet of Energy system: Framework and trends by Muqit Farhan (17632215)

Enhancing Security and Performance in Live VM Migration: A Machine Learning‐Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Envi... by Raseena M. Haris (17773470)

Towards electric digital twin grid: Technology and framework review by Md. Mhamud Hussen Sifat (17337913)