Workflow scheduling in the cloud is a challenging multi-objective optimization problem where an efficient scheduling algorithm is required to optimize both performance and cost. Despite the huge body of work on design...
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This study compares different scheduling algorithms used in edge computing for real-time video processing. Instead of sending video data to cloud servers, the video is processed directly at the edge, reducing delays a...
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In recent years, management of multiple complex projects has become increasingly common among large-scale companies, posing significant challenges for company managers. These projects are often identified by numerous ...
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To solve the loading and unloading problems of RMG (Rail Mounted Gantry), quay crane and AGV (Automated Guided Vehicle), this paper proposes a hierarchical cooperative scheduling algorithm. Firstly, the operation task...
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DocQueue is a cloud-based system that optimizes patient scheduling in order to maximize the delivery of healthcare by prioritizing cases (dynamically) based on real-time information and availability of resources. It u...
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With an increased flexibility in the production new scheduling techniques are necessary to accommodate this change. Though there have already been published many scheduling algorithms fostering this demand for flexibi...
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In the cloud computing environment, existing research has mostly focused on improving traditional scheduling algorithms, lacking effective strategies for dealing with dynamic loads and complex workflows, resulting in ...
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Automated Guided Vehicles (AGVs) are essential transportation tools in modern industrial production, and their scheduling directly affects workshop efficiency. The AGV scheduling problem (AGVSP) aims to minimize both ...
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In the complex world of modern telecommunication networks, Baseband Unit (BBU) pools play a crucial role in optimizing data processing and minimizing response time. This paper presents the Adaptive Queue Dynamics (AQD...
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A distributed flexible assembly flowshop scheduling problem(DFAFSP), which holds significant applications in modern large-scale manufacturing systems, is investigated in this paper. A PPO-guided multi-population co-ev...
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