Mosaic Flow is a novel domain decomposition method designed to scale physics-informed neural PDE solvers to large domains. Its unique approach leverages pre-trained networks on small domains to solve partial different...
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With the rapid development of the Internet of Things (IoT) in electric power, edge computing as a distributedcomputing model plays an important role in optimizing the performance of electric power systems. This study...
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The proceedings contain 28 papers. The topics discussed include: performance and usability implications of multiplatform and WebAssembly containers;operations patterns for hybrid quantum applications;optimization of c...
ISBN:
(纸本)9789897587474
The proceedings contain 28 papers. The topics discussed include: performance and usability implications of multiplatform and WebAssembly containers;operations patterns for hybrid quantum applications;optimization of cloud-native application execution over the edge cloud continuum enabled by DVFS;energy-aware node selection for cloud-based parallel workloads with machine learning and infrastructure as code;security-aware allocation of replicated data in distributed storage systems;performance analysis of mdx ii: a next-generation cloud platform for cross-disciplinary data science research;data orchestration platform for AI workflows execution across computing continuum;framework for decentralized data strategies in virtual banking: navigating scalability, innovation, and regulatory challenges in Thailand;and anomaly detection for partially observable container systems based on architecture profiling.
Efficient management of electrical loads is pivotal in optimizing power distribution and ensuring stability within power grids. A critical aspect of this process involves accurately determining the eligibility of term...
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In the era of increasingly sophisticated cyber threats, ensuring the security of critical infrastructure such as power load management system is paramount. This paper presents a comprehensive evaluation of machine lea...
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Considering that distributed photovoltaic power stations connect to low voltage distribution network in situ. Small capacity of distributed photovoltaic power station access to the power grid can make voltage fluctuat...
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With the rapid growth of information technology (IT), the amount of data generated by various industries in modern society is exploding. However, while enjoying the convenience brought by data, how to ensure the priva...
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distributedcomputing (DC) involves a collection of tasks (or modules) executed in parallel on different compute nodes connected through a network. Cloud Service providers (CSP) such as Azure[1], Amazon[2], and Google...
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ISBN:
(纸本)9781450397964
distributedcomputing (DC) involves a collection of tasks (or modules) executed in parallel on different compute nodes connected through a network. Cloud Service providers (CSP) such as Azure[1], Amazon[2], and Google[3] are providing DC platforms as PaaS (Platform As A Service) offerings. These cloud platforms reduce implementation costs but have a significant drawback as these services can be configured to spawn only a single type of compute node for executing all the tasks in the DC environment. These drawback lead to inefficiency in execution cost and time as each task will have specific compute node requirements. This paper presents a novel framework called TreeOptimizer(TO) to resolve these shortcomings. TO uses a classifier-based dynamic task scheduling to determine the best available node to perform the task. The framework has been tested in Azure Batch[1] for an Oil Industry use case for extracting data from scanned images. Experimental results indicate that TO significantly reduces the overall execution cost by 68% and processing time by 8%. Although this paper uses Batch Service to explain the proposed framework, it can be applied to other PaaS DC platforms.
The constant increase in electricity demand, as well as the depletion of fossil resources, has prompted research into alternate energy sources. Solar photovoltaic (PV) systems are gaining popularity in the renewable e...
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In order to promote the development of a low-carbon economy, many solar energy industries have emerged. The distributed photovoltaic power generation system can directly convert solar energy into electricity, which is...
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