Results 281 to 290 of about 3,468,078 (340)
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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
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, 1985The 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, 2020In 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), 2003Obtaining 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
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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
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 ComputingAn 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', 2002Gang 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
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Value Matters: A Novel Value of Information-Based Resource Scheduling Method for CAVs
IEEE Transactions on Vehicular TechnologyThe 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
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
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, 2012Cloud 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

