会议信息

SASO 2019: International Conference on Self-Adaptive and Self-Organizing Systems

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截稿日期:
2019-03-10 已截稿
通知日期:
2019-04-10
会议日期:
2019-06-16
会议地点:
Umea, Sweden
届数:
13
QUALIS: B3   浏览: 46457   关注: 4   参加: 2
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会伴指数 (CP-I)

62.4 / 100
全站第 538 名 / 共 5,764 个会议 · 前 10%
学术认可 (35%)
60
投稿选择性 (20%)
82
会议传承 (20%)
71
社区关注 (10%)
26
资料公开度 (15%)
55

用到的输入: 收录等级：QUALIS B3 · 录用率：27.1%（有记录的 5 届的均值） · 有据可查的届次：13 · 在会伴关注它的研究者：4 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 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 100% —— 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 1.2 · 算于 2026-11-01

征稿

SASO 2019 (International Conference on Self-Adaptive and Self-Organizing Systems) is a QUALIS B3 conference held in Umea, Sweden on 2019-06-16. The paper submission deadline is 2019-03-10. Acceptance notifications are sent on 2019-04-10.

Aims and Motivation The aim SASO 2019 is to provide a forum for the presentation and discussion of research on the foundations of engineered systems that self-adapt and self-organize. The complexity of current and emerging networks, software, and services can be characterized by issues such as scale, heterogeneity, openness, and dynamics in the environment. These issues have led the software engineering, distributed systems, and management communities to look for inspiration in diverse fields (e.g., complex systems, control theory, artificial intelligence, chemistry, psychology, sociology, and biology) to find new ways of designing and managing such computing systems in a principled way. In this endeavor, self-organization and self-adaptation have emerged as two promising, interrelated approaches. They form the basis of many other so-called self-* properties, such as self-configuration, self-healing, or self-optimization. SASO 2019 aims to be an interdisciplinary meeting, where contributions from participants with different backgrounds lead to the fostering of a cross-pollination of ideas, and where innovative theories, frameworks, methodologies, tools, and applications can emerge. Scope We invite novel contributions related to the fundamental understanding of self-adaptive and self-organizing systems, along with principles and practices of their engineering and application. The topics of interest include, but are not limited to: Self-* systems theory: nature-inspired and socially-inspired paradigms and heuristics; theoretical frameworks and models; formal languages; control theory; requirement and goal expression techniques; uncertainty as a 1st class entity Self-* system properties: robustness; resilience; stability; anti-fragility; diversity; self-reference and reflection; emergent behavior; computational awareness and self-awareness; Self-* systems engineering: reusable mechanisms and algorithms; design patterns; programming languages; architectures; testing and validation methodologies; runtime models; techniques for assurance; platforms and toolkits; multi-agent systems; Principles and practices of self-organization: self-governance; security; change management; distributed consensus, knowledge management, and the general use of rules, norms and policies Mechanisms for self-adaptation: inter-operation of self-* mechanisms; evolution, logic, and learning; addressing large-scale and decentralized systems; Socio-technical self-* systems: human and social factors; visualization; crowdsourcing and collective awareness; Data-driven approaches to self-* systems: data mining; machine learning; data science and other statistical techniques to analyze, understand, and manage the behavior of complex systems; Self-adaptive and self-organizing hardware: self-* materials; self-construction; reconfigurable hardware; Self-* systems education: experience reports; curricula; innovative course concepts; Applications and experiences with self-* systems: smart grid, smart cities, smart homes, manufacturing and industrial plants, cyber-physical systems; autonomous vehicles and robotics; traffic management; self-adaptive cybersecurity; Internet of Things; fog/edge computing. Submission Instructions Submissions can have up to 10 pages formatted according to the standard IEEE Computer Society Press proceedings style guide. Please submit your papers electronically in PDF format using the SASO 2019 conference management system: https://easychair.org/conferences/?conf=saso2019. The proceedings will be published by IEEE Computer Society Press and made available as a part of the IEEE Digital Library. Note that a separate Call for Poster and Demo Submissions will also be issued. As per the standard IEEE policies, all submissions should be original, i.e., they should not have been previously published in any conference proceedings, book, or journal and should not currently be under review for another archival conference. We would like to also highlight IEEE’s policies regarding plagiarism and self-plagiarism: (https://www.ieee.org/publications/rights/plagiarism/id-plagiarism.html). Where relevant and appropriate, accepted papers will also be encouraged to participate in the Demo or Poster Sessions. Review Criteria Papers should present novel ideas in the cross-disciplinary research context described in this call, motivated by problems from current practice or applied research. Both theoretical and empirical contributions should be highlighted, substantiated by formal analysis, simulation, experimental evaluations, or comparative studies, etc. Appropriate references must be made to related work. Due to the cross-disciplinary nature of the SASO conference, we encourage papers to be intelligible and relevant to researchers who are not members of the same specialized sub-field. Authors are also encouraged to submit papers describing applications. Application papers should provide an indication of the real-world relevance of the problem that is solved, including a description of the domain, and an evaluation of performance, usability, or comparison to alternative approaches. Experience papers are also welcome, especially if they highlight insights into any aspect of design, implementation or management of self-* systems that would be of benefit to practitioners and the SASO community. All submissions will be rigorously peer reviewed and evaluated based on the quality of their technical contribution, originality, soundness, significance, presentation, understanding of the state of the art, and overall quality.
由 Dou Sun 最后更新于

录用率

平均录用率: 27.1% 5 年间 (2007–2011).

年份提交数录用数录用率(%)
2011972121.6%
2010892528.1%
2009742736.5%
20081474228.6%
20071202520.8%

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