Multi-task scheduling of heterogeneous big data network information is proposed to improve the optimal configuration and application ability of network big data resources. A multi-task scheduling method of heterogeneo...
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Cloud computing is a significant technological advancement that finds application in different research domains, facilitating on-demand access to resources. Throughout this process, the cloud encounters many challenge...
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The resource scheduling of computing power networks is a complex project, and the scheduling strategies used will directly affect the efficiency of subsequent processing of computing tasks. This article focuses on the...
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Microtransit is a promising solution to the recent challenges faced by the public transit sector in the post-pandemic era. Following previous research that points out the importance of considering travelers with stric...
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The inherent uncertainties associated with renewable energy sources and loads present risks to the optimal control of microgrids. In response, this paper proposes a two-stage robust optimization scheduling strategy sp...
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Effective application scheduling in cloud environments is crucial for optimizing operational efficiency and resource utilization. This paper addresses the inherent complexities of this problem by introducing an innova...
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Recent years have witnessed increasing interest in machine learning inferences on serverless computing for its auto-scaling and cost effective properties. Existing serverless computing, however, lacks effective job sc...
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We study the online busy time scheduling model on heterogeneous machines. In our setting, jobs with uniform length arrive online with a deadline that becomes known to the algorithm at the job's arrival time. An al...
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Aiming at the problem of optimizing mutation-based fuzzing algorithms, this paper applies an evolutionary strategy specifically tailored to the havoc stage. By refining the mutation scheduling within the currently mos...
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With the widespread integration of renewable energy into the power grid, the inherent variability and intermittency of renewable sources can compromise grid reliability and security. Traditional deterministic approach...
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