Results 21 to 30 of about 243,959 (265)
RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems
IEEE Access, 2021 Due to their high computational and memory demand, deep learning applications are mainly restricted to high-performance units, e.g., cloud and edge servers. Particularly, in Internet of Things (IoT) systems, the data acquired by pervasive devices is sent
Emna Baccour +4 more
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An Efficient Genetic Agorithm for Solving the Multi-Mode Resource-Constrained Project Scheduling Problem Based on Random Key Representation [PDF]
International Journal of Supply and Operations Management, 2015 In this paper, a new genetic algorithm (GA) is presented for solving the multi-mode resource-constrained project scheduling problem (MRCPSP) with minimization of project makespan as the objective subject to resource and precedence constraints.
Mohammad Hassan Sebt +2 more
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Mathematics, 2022 An unrelated parallel machine scheduling problem motivated by the scheduling of a printed circuit board assembly (PCBA) under surface mount technology (SMT) is discussed in this paper.
Yung-Chia Chang +2 more
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Distributed constraint optimization with structured resource constraints
International Joint Conference on Autonomous Agents and Multiagent Systems, 2009 Distributed constraint optimization (DCOP) provides a framework for coordinated decision making by a team of agents. Often, during the decision making, capacity constraints on agents' resource consumption must be taken into account. To address such scenarios, an extension of DCOP- Resource Constrained DCOP- has been proposed.
KUMAR, Akshat +2 more
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Bounds for Multiprocessor Scheduling with Resource Constraints [PDF]
SIAM Journal on Computing, 1975 One well-studied model ofa multiprocessing system involves a fixed number n ofidentical abstract processors, a finite set oftasks to be executed, each requiring a specified amount ofcomputation time, and a partial ordering on the tasks which requires certain tasks to be completed before certain others can be initiated.
M. R. Garey, Ronald L. Graham
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Управленческое консультирование, 2019 The article discusses the main types of resources and its constraints at the enterprises of the Russian defense industrial complex. The importance of effective allocation and optimization of resources use in the context of anti-Russian sanctions and ...
T. G. Surovtseva, I. A. Andreev
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Royal Society Open Science, 2021 We propose a deterministic model capturing essential features of contact tracing as part of public health non-pharmaceutical interventions to mitigate an outbreak of an infectious disease.
Francesca Scarabel +3 more
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Characterizing vulnerability of parallelism to resource constraints [PDF]
Proceedings Fourth International Conference on High-Performance Computing, 2002 The theoretical available instruction level parallelism in most benchmark is very high. Vulnerability is related to the difficulty with which we can extract this parallelism with finite resources. This study characterizes the vulnerability of parallelism to resource constraints by scheduling dynamic dependence graphs (DDGs) from traces of several ...
Vivekanand, V +2 more
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Resource Constrained Profit Optimization Method for Task Scheduling in Edge Cloud
IEEE Access, 2020 Edge cloud is a cloud computing system built on edge infrastructure. Task scheduling optimization is the key technology to ensure the quality of service in edge cloud.
Liqiong Chen +4 more
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Optimizing Urgency of Information through Resource Constrained Joint Sensing and Transmission
Entropy, 2022 Applications requiring services from modern wireless networks, such as those involving remote control and supervision, call for maintaining the timeliness of information flows.
Zhuoxuan Ju, Parisa Rafiee, Omur Ozel
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