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DetFed: Dynamic Resource Scheduling for Deterministic Federated Learning Over Time-Sensitive Networks

IEEE Transactions on Mobile Computing
In this paper, we present a three-layer (i.e., device, field, and factory layers) deterministic federated learning (FL) framework, named DetFed, which accelerates collaborative learning process for ultra-reliable and low-latency industrial Internet of ...
Dong Yang   +7 more
semanticscholar   +1 more source

Fuel Resource Scheduling The Daily Scheduling Problem

IEEE Transactions on Power Apparatus and Systems, 1985
The paper presents different network flow algorithms to handle the linear and nonlinear unit I/O characteristics of the daily fuel scheduling problem with hourly and daily fuel constraints. Results of a 17 unit/17 contract test system results are presented to illustrate the highlights of the proposed methodologies.
S. Vemuri   +2 more
openaire   +1 more source

Resource Scheduling for Distributed Multi-Target Tracking in Netted Colocated MIMO Radar Systems

IEEE Transactions on Signal Processing, 2020
In this paper, an effective solution is proposed for joint beam and power scheduling (JBPS) in the netted Colocated MIMO (C-MIMO) radar systems for distributed multi-target tracking (MTT).
Wei Yi   +3 more
semanticscholar   +1 more source

Cooperative scheduling of multiple resources

Proceedings 20th IEEE Real-Time Systems Symposium (Cat. No.99CB37054), 2003
Obtaining simultaneous and timely access to multiple resources is known to be an NP-complete problem. Complete resource decoupling is, therefore, often used for managing end-to-end delays in distributed real-time system where each processor is scheduled independent of the others. This decoupling approach unfortunately fails when multiple resources must
Saowanee Saewong, Ragunathan Rajkumar
openaire   +1 more source

Deep Progressive Reinforcement Learning-Based Flexible Resource Scheduling Framework for IRS and UAV-Assisted MEC System

IEEE Transactions on Neural Networks and Learning Systems
The intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system is widely used in temporary and emergency scenarios.
Li Dong   +4 more
semanticscholar   +1 more source

A Many-Objective Ensemble Optimization Algorithm for the Edge Cloud Resource Scheduling Problem

IEEE Transactions on Mobile Computing
An edge cloud architecture plays a key role in improving the user task computing service system by combining the powerful data processing capability of cloud centres with the low latency of edge computing.
Jiangjiang Zhang   +5 more
semanticscholar   +1 more source

Wasted resources in gang scheduling

Proceedings of the 5th Jerusalem Conference on Information Technology, 1990. 'Next Decade in Information Technology', 2002
Gang scheduling (the scheduling of a number of interacting threads to run simultaneously on distinct processors) can leave processors idle if the sizes of the gangs do not match the number of available processors. Given an optimal offline algorithm it is shown that the wasted processing power can range from 0% to 50%, depending on the distribution of ...
Dror G. Feitelson, Larry Rudolph
openaire   +1 more source

Value Matters: A Novel Value of Information-Based Resource Scheduling Method for CAVs

IEEE Transactions on Vehicular Technology
The Internet of Vehicles (IoV) can support applications in connected autonomous vehicles (CAVs), the implementation of which can effectively improve traffic efficiency.
Wei Wang   +6 more
semanticscholar   +1 more source

Sustainable Serverless Computing With Cold-Start Optimization and Automatic Workflow Resource Scheduling

IEEE Transactions on Sustainable Computing
In recent years, serverless computing has garnered significant attention owing to its high scalability, pay-as-you-go billing model, and efficient resource management provided by cloud service providers.
Shanxing Pan   +5 more
semanticscholar   +1 more source

Task-resource scheduling problem

International Journal of Automation and Computing, 2012
Cloud computing is a new and rapidly emerging computing paradigm where applications, data and IT services are provided over the Internet. The task-resource management is the key role in cloud computing systems. Task-resource scheduling problems are premier which relate to the efficiency of the whole cloud computing facilities.
Anna A. Gorbenko, Vladimir Yu. Popov
openaire   +2 more sources

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