会议信息

ASMTA 2023: International Conference on Analytical & Stochastic Modelling Techniques & Applications

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截稿日期:
2023-04-18 延期
通知日期:
2023-05-08
会议日期:
2023-06-20
会议地点:
Florence, Italy
届数:
27
浏览: 10157   关注: 0   参加: 0
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会伴指数 (CP-I)

50.0 / 100
全站第 1,607 名 / 共 5,693 个会议 · 前 29%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
90
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次：27 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-05

征稿

ASMTA 2023 (International Conference on Analytical & Stochastic Modelling Techniques & Applications) is an academic conference held in Florence, Italy on 2023-06-20. The paper submission deadline is 2023-04-18 (extended). Acceptance notifications are sent on 2023-05-08.

ASMTA and EPEW are flagship conferences for academic and industrial researchers from diverse fields with common interest on the performance modelling, analysis and design of stochastic systems. This year, the two conference join again (and also join, again for ASMTA, with the International ECMS conference on Modelling and Simulation, ECMS 2023), and solicit papers on the development of broadly applicable analytic, simulation and measurement-based methods on all aspects of performance engineering. ASMTA 2023 aims to bring together researchers interested in understanding and improving the performance of systems where the flow of information is random by means of proper modeling and solution methods. It seeks papers to promote research results in the development and analysis of stochastic models arising among others in communication systems, manufacturing, production, service operations, supply chain/inventory management, and biological systems. Its scope includes both methodological and computational advances. In particular, it aims to bring together researchers working on the theoretical, algorithmic and computational aspects of the methods applied in stochastic models, and on the applications of such methods across a broad spectrum of research fields. The conference is particularly interested in contributions that present new performance evaluation methods/algorithms, or that creatively apply existing methods to predict and efficiently design stochastic systems. Topics of interest The topics include but are not limited to the following: Performance-Oriented Methodologies: Markov Processes Queueing Systems and Networks Capacity Planning, Resource Allocation, Routing, Scheduling and Quality of Service Branching Processes and Epidemic Models Game Theory and Stochastic Games Reliability Theory (Computationally Intensive) Statistical Methods Stochastic Control, Decision Processes and Optimization Stochastic Process Algebras and Petri Nets Rare Events and Stochastic Simulation Approximations, Bounds and Limits of Stochastic Models Reinforcement Learning Techniques for Dynamic Resource Allocation Fluid and Diffusion Limits Risk Processes Random Graphs Envisaged Application Areas: Complex Systems Computer and Information Systems Workflow Management Systems Communication Systems and Networks Wireless and Mobile Systems and Networks Peer-to-Peer Applications and Services Embedded Systems and Sensor Networks Storage Systems, Data Centers, Content Delivery, Cloud/Fog/Edge/. . . Computing and Virtualisation Workload Modelling and Characterization Road Traffic and Transportation Social Networks Modelling of Virtualisation Energy-Aware Optimisation Stochastic Modelling for Systems Biology Biologically Inspired Network Design Artificial Intelligence and Machine Learning Platforms Blockchains and Crypto-Currency Network Economics and Platform Designs Matching Systems and Sharing Economy
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