会议信息

ICAC 2019: International Conference on Autonomic Computing

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截稿日期:
2019-02-22 Extended
通知日期:
2019-04-08
会议日期:
2019-06-16
会议地点:
Umea, Sweden
届数:
16
QUALIS: A2   浏览: 43893   关注: 7   参加: 2

会伴指数 (CP-I)

79.2 / 100
全站第 208 名 / 共 5,682 个会议 · 前 4%

系统与体系结构 第 41 / 341

学术认可 (35%)
92
投稿选择性 (20%)
92
会议传承 (20%)
76
社区关注 (10%)
28
资料公开度 (15%)
70

用到的输入: 收录等级:QUALIS A2 · 录用率:18.7%(有记录的 2 届的均值) · 有据可查的届次:16 · 在会伴关注它的研究者:7 人 · 过去 24 个月打开过本页的研究者:2 人

公开资料里还缺: 历届信息 (+3.0)
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 1.1 · 算于 2026-09-15

征稿

ICAC 2019 (International Conference on Autonomic Computing) is a QUALIS A2 conference held in Umea, Sweden on 2019-06-16. The paper submission deadline is 2019-02-22 (extended). Acceptance notifications are sent on 2019-04-08.

The 16th IEEE International Conference on Autonomic Computing (ICAC) is held in Umeå, Sweden on June 16 – 20, 2019. It is co-located and has some shared activities with The 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2019) and The 15th Cloud Control Workshop. ICAC is the leading conference on autonomic computing techniques, foundations, and applications. Large-scale systems of all types, such as data centers, computer clouds, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments, are becoming increasingly complex and burdensome for people to manage. Autonomic computing systems reduce this burden by managing their own behavior in accordance with high-level goals. In autonomic systems, resources and applications are managed to maximize performance and minimize cost, while maintaining predictable and reliable behavior in the face of varying workloads, failures, and malicious threats. Achieving self-management requires and motivates research that spans a wide variety of scientific and engineering disciplines, including distributed systems, artificial intelligence, machine learning, modeling, control theory, optimization, planning, decision theory, user interface design, data management, software engineering, emergent behavior analysis, and bio-inspired computing. ICAC brings together researchers and practitioners from disparate disciplines, application domains and perspectives, enabling them to discover and share underlying commonalities in their approaches to making resources, applications and systems more autonomic.
Dou Sun 最后更新于

录用率

平均录用率: 18.7% 2 年间 (2004–2005).

年份提交数录用数录用率(%)
20051502516.7%
20041503120.7%

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CKnowledge-Based Systems7.2Elsevier0950-7051
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AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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