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EPEW 2023: European Performance Engineering Workshop

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投稿締切日:
2023-04-29 締切済み
通知日:
2023-05-20
開催日:
2023-06-20
開催地:
Florence, Italy
開催回数:
19
閲覧: 8009   フォロー: 0   参加: 0
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EPEW
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会伴インデックス (CP-I)

48.2 / 100
全 5,705 件中 第 2,087 位 · 上位 37%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
81
コミュニティの注目度 (10%)
8
公開情報の充実度 (15%)
25

使用した入力: 確認できる開催回数：19 · 過去 24 か月にこのページを開いた研究者：2 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 45% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.2 · 算出日 2026-10-16

論文募集

EPEW 2023 (European Performance Engineering Workshop) is an academic conference held in Florence, Italy on 2023-06-20. The paper submission deadline is 2023-04-29 (extended). Acceptance notifications are sent on 2023-05-20.

EPEW and ASMTA 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 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. The European Performance Engineering Workshop is an annual event that aims to gather researchers from both the academia and industrial world working on all aspects of performance modelling and analysis. The concept of performance in EPEW 2023 is considered in its broadest sense including the notions of Quality of Service, scalability as well as reliability, availability and systems management, among the others. Therefore, of particular interest are the ideas introducing new methods for evaluating complex systems, as well as innovative applications of methodologies and known techniques to the latest generation of systems, networks and computer-based services. EPEW 2023 seeks papers based on performance evaluation of systems from theoretical and practical viewpoint. Application of performance evaluation techniques to emerging technologies, like cyber-physical systems ranging from mobile devices and Internet-of-Things (IoT), fog and edge computing, applications to large-scale cloud computing systems, smart grids, security infrastructures, are among the topics of interest to EPEW 2023. Topics of interest include but are not limited to the following topic areas: - Theoretical advances in performance modeling and evaluation, e.g. Probabilistic, stochastic, or performability models, such as Queueing Networks, Petri Nets, and Process Calculi; Specification of quantitative properties, Analytical and numerical solution techniques and simulation techniques, Quantitative model checking, equivalence checking, and static analysis Context-aware modelling and analysis techniques Machine learning and deep learning-based approaches for performance evaluation and analysis Multiformalism and Multiparadigm modelling approaches - System, software, and network performance engineering, e.g. Performance-oriented design, architecture, implementation, deployment, monitoring, and maintenance Constraint-based and model-driven system design Performance analysis, simulation, and experimental design Benchmark design and benchmark-based evaluation and monitoring Automated interpretation of analysis results Quality of service, and trade-offs between security, performance, dependability, energy consumption, usability, etc. Software performance modeling languages, model composition and tool interoperability 6G and beyond - Case studies, e.g. Cloud systems, Hybrid Cloud, and Fog Computing Internet of Things Cyber-physical systems E-health systems Blockchain and Cryptocurrency applications Sharing services such as carshare and rideshare Electric vehicles and battery modelling Large-scale systems and scalability analysis of systems, robustness analysis of systems, resilience analysis of systems Industrial case studies, experience reports and tools, with a solid analysis and theoretical background
最終更新：Dou Sun（）

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