会议信息
Performance 2025 : International Symposium on Computer Performance, Modeling, Measurements and Evaluation
https://performance2025.sciencesconf.org/
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Amsterdam,the Netherlands
2025-07-30
2025-05-25
2025-11-11
体系结构/高性能计算
43
CE:B    CCF:B    CORE:无   QUALIS:无
征稿信息
The IFIP PERFORMANCE 2025 conference welcomes submissions of research papers on algorithm design, mathematical analysis and modeling, simulation, and measurement techniques for computer systems and communication networks. Topics of interest include but are not limited to, the following. Performance-oriented methodologies include: Analytical modeling techniques and model validation Anomaly detection, problem diagnosis, and troubleshooting Capacity planning, resource allocation, routing, scheduling, and quality of service Experimental design, statistical analysis, simulation Game theory, network economics, and platform design Machine learning, data mining, graph analysis, optimization Performance, scalability, power, and reliability analysis Stochastic modeling, statistical analysis, and simulation Sustainability analysis and power management Complex networks, sorting, and ranking System measurement, performance monitoring, and forecasting Workload characterization and benchmarking Evaluation techniques and algorithms for: Artificial intelligence and machine learning platforms Blockchains and crypto-currency Computer architectures and operating systems Cyber-physical systems, the Internet of Things, and smart grids Data centers, content delivery, cloud computing, and virtualization High-performance computing Internet and web services Mobile and personal computing systems Network architectures, protocols, and congestion control Network economics and platform design Privacy and algorithmic fairness Security systems Storage systems and data centers Social networks, multimedia systems, and smart grid Virtualization, data centers, distributed and cloud computing, fog, and edge computing Quantum computing and quantum communication Wireless, ad-hoc, and cellular networks
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