Agent-Based Modeling and Simulation (ABMS) has been increasingly applied in various research fields, thanks to the capability of these models to describe fine-grained realworld behavior and to the ease of interpretati...
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In the face of massive spatial grid data from low-resolution encryption to high-resolution process, the traditional point-by-point interpolation algorithm needs to calculate each encryption point in turn, so there are...
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Modeling the performance of real-world applications at scale is essential for designing next-generation platforms and shaping the development of future algorithms. However, accurately capturing the complexity of appli...
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Currently, the efficiency improvement of complex technical systems is an urgent scientific task, which in numerous cases is formalized via optimization problem and solved by some well-known optimization methods. Metah...
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In this paper, we present a deterministic Õ(log1/3)-round algorithm for the 2-ruling set problem in the sublinear Massively parallel Computation (MPC) model. This improves upon the fastest known deterministic 2-r...
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The optimal energy management of a multi-energy system is a complicated optimization task. This work explores the optimal scheduling problem of power systems under the conditions of distributed power sources and energ...
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This paper presents SPARE, a novel serverless platform that supports self-adaptive resource allocation and reconfiguration, thereby increasing the availability of computing resources for time-critical tasks in urgent ...
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A wavelet transform multi-scale information synthesis algorithm for traveling wave head detection is proposed. Firstly, the fault traveling wave signal is processed using the multi-scale analysis of wavelet transform ...
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This paper examines how co-locating multiple VMs on a single physical server with shared storage impacts I/O performance, specifically focusing on latency of I/O operations, and the overall throughput. We introduce a ...
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As the Square Kilometre Array (SKA) radio telescopes approach full operation, they are set to generate hundreds of petabytes of data annually, offering unprecedented resolution and detail in astrophysical observations...
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