Conference Information

ICAC 2019: International Conference on Autonomic Computing

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Submission Date:
2019-02-22 Extended
Notification Date:
2019-04-08
Conference Date:
2019-06-16
Location:
Umea, Sweden
Years:
16
QUALIS: A2   Viewed: 43778   Tracked: 7   Attend: 2

Conference Partner Index (CP-I)

79.2 / 100
Ranked #207 of 5,647 conferences · Top 4%

#40 of 340 in Systems & Architecture

Academic recognition (35%)
92
Submission selectivity (20%)
92
Editions held (20%)
76
Community attention (10%)
28
Public record completeness (15%)
70

Inputs used: Listed as QUALIS A2 · Acceptance rate: 18.7% (mean of 2 editions on file) · Editions on record: 16 · Researchers following it here: 7 · Researchers who opened this page in the past 24 months: 2

Missing from the public record: Past editions (+3.0)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-03

Call For Papers

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.
Last updated by Dou Sun on

Acceptance Ratio

Average acceptance rate: 18.7% over 2 years (2004–2005).

YearSubmittedAcceptedAccepted(%)
20051502516.7%
20041503120.7%

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