The proceedings contain 63 papers. The topics discussed include: rule-based automatic generation of mediator patterns for service composition mismatches;a fuzzy rule based load balancing model for a distributed servic...
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ISBN:
(纸本)9780769531779
The proceedings contain 63 papers. The topics discussed include: rule-based automatic generation of mediator patterns for service composition mismatches;a fuzzy rule based load balancing model for a distributed service process engine;lambda calculus as a workflow model;a new resource discovery mechanism with negotiate solution based on agent in grid environments;a scientific-workflow- based execution environment for ensemble prediction;research on scheduling algorithm for workflow-based grid resource;job migration and fault tolerance in SLA-aware resource management systems;towards a domain-specific modeling language for customer data integration workflow;textual knowledge flow based intelligent browsing of topics;resource scheduling in desktop grid by grid-JQA;workflow technology for drug discovery;an automatic and scalable testing tool for workflow;and design of a petri net-based workflow engine systems.
The proceedings contain 20 papers. The special focus in this conference is on grid, Cloud, and Cluster computing. The topics include: Scientific Workflow Provenance Management: System Requirements and a Refe...
ISBN:
(纸本)9783031858833
The proceedings contain 20 papers. The special focus in this conference is on grid, Cloud, and Cluster computing. The topics include: Scientific Workflow Provenance Management: System Requirements and a Reference Architecture;Enhancing Data Security with Decentralized Cloud Storage: An IPFS Approach;learning Robust Observable to Address Noise in Quantum Machine Learning;evaluating Cost-Effective Reconfigurable Hardware for Quantum Simulation;an Efficient Quantum Solver for Multidimensional Partial Differential Equations;explaining the Design of the Quantum Fourier Transform;Optimizing Depth of Quantum Circuit for Generating GHZ States;a Comparative Analysis of Hybrid-Quantum Classical Neural Networks;NRQNN: The Role of Observable Selection in Noise-Resilient Quantum Neural Networks;studying the Impact of Quantum-Specific Hyperparameters on Hybrid Quantum-Classical Neural Networks;Eclipse Qrisp QAOA: Description and Preliminary Comparison with Qiskit Counterparts;federal Cloud computing Adoption Case Study: A Retrospective Analysis as a Precursor to Optimized Quantum Adoption Methodologies;integrating Secure Quantum Digital Signature into Quantum Communications;methodology to Accelerate Federal Agency Adoption of Quantum Technologies;understanding Public Policy Effects on Alcohol-Related Behaviors and Outcomes Using System Dynamics;Performance Investigation of Small UAV Attitude Control Based on Optimized Nonlinear Dynamic Inversion;Prediction of 1st Year Registration Renewal of General-Use JP Domain Names with the Use of Machine Learning;data Clustering and Visualization with Recursive Max k-Cut Algorithm.
The Creation of Vehicle-to-grid technology was driven by the rise of electric vehicles and grid concerns with regard to renewable energy sources. The suggested system outlines the push-pull inverter based V2G, which i...
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This paper presents the design and implementation of a real-time solar monitoring system with an integrated charging and smart grid control mechanism, emphasizing the novelty of grid integration into a hybrid power sy...
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The study investigates how quantum cryptography can be employed to improve security in smart grid communication networks. Attempting to use the BB84 QKD protocol, it allows secure creation and management of those cryp...
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A Cutting edge modern day technology for the existing conventional power system is the idea of smart grid. To eradicate climate changes, market variations and security of power supply in near future smart grids help i...
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Due to sheer global energy crisis, concerns about fuel deuteriation, electricity shortages, power quality enhance and global warming are the major challenges becoming increasingly severe. The tremendous scarcity of co...
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Stroke has emerged as a predominant cause of mortality and enduring impairment globally, with no effective therapy available. Deep learning methodologies can surpass current stroke risk prediction models;nevertheless,...
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Advances in generative AI and the widespread proliferation of LLM-based applications have created a number of opportunities for designing effective and intelligent human-AI interfaces. Conversational User Interfaces (...
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