Results 1 to 10 of about 2,100,013 (302)
Survey of Multi-cloud Workflow Scheduling [PDF]
Traditional cloud providers provide services solely for users,which has problems of insufficient local cloud resources and high expansion costs.While the emerging multi-cloud combines services of cloud providers with different geographical locations ...
YU Hao-wen, LIU Bo, ZHOU Na-qin, LIN Wei-wei, LIU Peng
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Stacker Scheduling and Repository Location Recommendation Based on Multi-Task Reinforcement Learning [PDF]
Stacker scheduling is an essential task in warehousing automation.Inbound-outbound efficiency and storage situations affect overall efficiency.When handling large-scale problems, traditional scheduling methods cannot achieve performance because ...
RAO Dongning, LUO Nanyue
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Application of Chaotic Cat Swarm Optimization in Cloud Computing Multi Objective Task Scheduling
In cloud computing multi-task scheduling, a large number of tasks require the system to have excellent task scheduling capabilities to ensure stable and efficient operation of the system. However, the integration and scheduling of multi-task resources in
Haiyu Zhang, Runliang Jia
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Self-balanced Scheduling Strategy for Container Cluster Based on Improved DQN Algorithm [PDF]
The resource scheduling strategy of container cloud system plays an important role in resource utilization and cluster performance.The existing container cluster scheduling does not fully take into account the resource occupancy within and between nodes ...
XIE Yongsheng, HUANG Xiangheng, CHEN Ningjiang
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Linear Project-Scheduling Optimization Considering a Reverse Construction Scenario
The linear scheduling method (LSM) for optimization in linear projects has been the focus of numerous academic studies over the years. However, research on incorporating reverse construction activities and other practical scenarios, such as flexible ...
Ze Yu +4 more
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Wireless sensor networks are appealing, largely because they do not need wired infrastructure, but it is precisely this feature that renders them energy-constrained.
Liangshun Wu, Hengjin Cai
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Multi-Task Learning-Based Task Scheduling Switcher for a Resource-Constrained IoT System
In this journal, we proposed a novel method of using multi-task learning to switch the scheduling algorithm. With multi-task learning to change the scheduling algorithm inside the scheduling framework, the scheduling framework can create a scheduler with
Mohd Hafizuddin Bin Kamilin +2 more
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A Review of Optimization Studies for System Appointment Scheduling
In the face of an increasingly high-demand environment for outpatients, achieving a balance between allocation of limited medical resources and patient satisfaction has considerable social and economic benefits.
Tiantian Niu +7 more
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A Review of the Scheduling Problem within Canadian Healthcare Centres
In this paper, the current literature regarding nurse scheduling and physician scheduling in Canada is reviewed. Staff scheduling is a vital aspect of healthcare which has immediate positive benefits when optimized. It is also a very complex optimization
Connor Little, Salimur Choudhury
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Mathematical Optimization of Treatment Schedules [PDF]
In the past decades mathematical optimization has found its way into radiation therapy and has made profound practice changing impact. Today, virtually all advanced treatment delivery methods, such as IMRT, VMAT, tomotherapy, LDR/HDR brachytherapy, proton therapy, are based on some form of optimization approach that changes the treatment variables ...
Gorissen, Bram L. +2 more
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