ICAC: International Conference on Autonomic Computing

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2019 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
ICAC 2018 15th International Conference on Autonomic Computing
Sep 3, 2018 - Sep 7, 2018 Trento, Italy Apr 8, 2018
ICAC 2017 14th IEEE International Conference on Autonomic Computing
Jul 17, 2017 - Jul 21, 2017 Columbus, OH, USA TBD
ICAC 2016 13th IEEE International Conference on Autonomic Computing
Jul 18, 2016 - Jul 22, 2016 Wuerzburg Jan 28, 2016 (Jan 21, 2016)
ICAC 2015 12th ACM/IEEE/USENIX International Conference on Autonomic Computing
Jul 7, 2015 - Jul 10, 2015 Grenoble, France Jan 22, 2015 (Jan 15, 2015)
ICAC 2014 11th International Conference on Autonomic Computing
Jun 18, 2014 - Jun 20, 2014 Philadelphia, PA, United States Mar 5, 2014 (Feb 26, 2014)
ICAC 2013 10th International Conference on Autonomic Computing
Jun 26, 2013 - Jun 28, 2013 San Jose, CA Mar 4, 2013 (Feb 25, 2013)
ICAC 2012 The 9th International Conference on Autonomic Computing
Sep 17, 2012 - Sep 21, 2012 San Jose, CA, USA Mar 9, 2012
ICAC 2011 International Conference on Autonomic Computing
Jun 14, 2011 - Jun 17, 2011 Karlsruhe, Germany Jan 8, 2011
ICAC 2010 The 7th International Conference on Autonomic Computing and Communications
Jun 7, 2010 - Jun 11, 2010 Washington, DC, USA Jan 18, 2010 (Jan 11, 2010)
ICAC 2009 The 6th IEEE International Conference on Autonomic Computing
Jun 15, 2009 - Jun 19, 2009 Barcelona, Spain Jan 19, 2009
ICAC 2008 The 5th IEEE International Conference on Autonomic Computing
Jun 2, 2008 - Jun 6, 2008 Chicago, IL, USA Dec 14, 2007
 
 

Present CFP : 2018

Scope and Topics

Large-scale systems, such as mega data centers, computer clouds, cyber-physical systems, Internet of Things, 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, control theory, optimization, planning, decision theory, user interface design, data management, software engineering, emergent behavior analysis, bio-inspired computing etc.

The two premier conferences on autonomic computing, the IEEE International Conference on Autonomic Computing (ICAC) and the IEEE International Conference on Cloud and Autonomic Computing (ICCAC) will be unified into one from 2018 on. The first joint conference, the 15th IEEE International Conference on Autonomic Computing (ICAC 2018) will be held in Trento, Italy on September 3-7, 2018, within the context of the FAS* event federated with SASO 2018.
The conference seeks novel research advances on science and engineering from both academia and industries, concerning all aspects of autonomic computing, including but not limited to the following research topics:

Foundations

◾Fundamental theory of autonomic computing
◾Algorithms, such as artificial intelligence, machine learning, control theory, operation research, probability and stochastic processes, queueing theory, rule-based systems, biological-inspired techniques, and socially-inspired techniques
◾Formal models and analysis of self-management, emergent behavior, uncertainty, self-organization, self-awareness, and trustworthiness
Resource Management in Data Centers
◾Hypervisors, operating systems, middleware, and platforms for self-managing data centers and cloud infrastructures
◾Sensing and computing/storage/networking/power/cooling resource adaptation
◾Autonomic components, such as multi-core servers, storage, networking, and hardware accelerators
◾Applications and case studies of end-to-end design and implementation of systems for resource and performance management

Autonomic Cloud Computing

◾Self-managing cloud services
◾Autonomic cloud applications and services
◾Autonomic virtual cloud resources and services
◾Cloud workload characterization and prediction
◾Monitoring, modeling and analysis of cloud resources and services
◾Anomaly behavior analysis of autonomic systems and services
◾Autonomic aspects of combining cloud computing with fog and edge computing

Cyber-Physical Systems (CPS) and Internet of Things (IoT)
◾System architectures, services, middleware, and protocols for CPS and IoT
◾Energy, real-time, and mobility management
◾Design principles, methodologies, and tools for CPS and IoT
◾Self-organization under severe resource constraints
◾Applications and case studies of autonomic CPS and IoT

Autonomics for Extreme Scales

◾Large scale autonomic systems
◾Self-optimizing and self-healing at peta-computing scale
◾Self-managing middleware and tools for extreme scales
◾Experiences in autonomic systems and applications at extreme scales (peta/exa-computing)

Self-Organization and Organic Computing

◾Self-organization principles and organic computing principles borrowed from systems theory, control theory, game theory, decision theory, social theories, biological theories, etc.
◾Self-organization, emergent behavior, decentralized control, individual and social/organizational learning, scalability, robustness, goal- and norm-governed behavior, online self-integration for trustworthy self-organizing and organic systems
◾Infrastructures and architectures for self-organizing systems and organic computing systems
◾Applications and case studies for self-organization and organic computing

Emerging Computing Paradigms: Cognitive Computing, Self-Aware Computing

◾Advanced learning for cognitive computing such as hyperparameter tuning, meta-cognitive learning, self-regulatory learning, consciousness and cognition in learning, collaborative / competitive learning, and online / sequential learning
◾Architectures, control, algorithmic approaches, instrumentation, and infrastructure for cognitive computing and self-aware systems
◾Cognitive computing and self-awareness in heterogeneous and decentralized systems
◾Applications and case studies for social networks, big data systems, deep learning systems, games, and artificial assistants, cognitive robots, and systems with self-awareness and self-expression

Software Engineering for Autonomic Computing Systems: Architecture, Specifications, Assurances

◾Design methodology, frameworks, principles, infrastructures, and tools for development and assurances for autonomic computing systems
◾System architectures, services, components and platforms broadly applicable for autonomic computing system engineering
◾Goal specification and policies, modeling of service-level agreements, behavior enforcement, IT governance, and business-driven IT management
◾Applications and case studies for software engineering approaches for autonomic computing systems

In addition to fundamental results, ICAC is also interested in applications and experiences with prototyped or deployed systems solving real-world problems in science, engineering, business, or society. Typical application areas for ICAC include but are not limited to autonomous robotics, cloud/fog/edge computing, cyber-physical systems, data centers, dependable computing, industrial internet / industry 4.0, internet of things, mobile computing, service-oriented systems, smart buildings, smart city, smart grid / energy management, smart factory, smart user interfaces, space applications, and traffic management.

Paper Submission

All submissions must represent original and unpublished work that is not currently under review. Each paper will be reviewed by at least three PC members. Papers are assessed based on originality, significance, interest, correctness, clarity, and relevance to the broader community. At least one author of each accepted paper is expected to attend the conference.

Each paper should be submitted in one of the following two categories, to which different acceptance criteria are to be applied:
◾Full paper, limited to 10 pages including references (double column, IEEE format)
◾Short paper, limited to 6 pages including references (double column, IEEE format)

Full papers are expected to report new scientific or engineering results, sharing experiences, measurements, use case studies, and appropriate quantitative evaluation if at all possible. Short papers can either be work in progress, or position papers that motivate the community to address new challenges. One paper among those that will be accepted for publication in the conference proceedings is going to be selected and awarded the Karsten Schwan Best Paper Award.
Papers should be submitted electronically in PDF format according to the instructions on the ICAC’2018 web site (http://icac2018.informatik.uni-wuerzburg.de/calls/instructions-to-authors/).

Important Dates

◾Abstract and Paper Submission Open: Mar 25, 2018
◾Paper Submission Deadline: Apr 8, 2018
◾Author Notification: June 3, 2018
◾Camera Ready: July 1, 2018
 

Related Resources

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DASC 2018   16th IEEE International Conference on Dependable, Autonomic and Secure Computing
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RaFEC_IoT 2019   Special Issue: Recent Advances in Fog/Edge Computing in Internet of Things (MDPI Sensors)
AMLTA 2019   The 4th International Conference on Advanced Machine Learning Technologies and Applications.
SA-TTA @SAC 2019   The 7th track on Software Architecture: Theory, Technology, and Applications (SA-TTA) at the 34rd ACM/SIGAPP Symposium On Applied Computing (SAC 2019)
ADON 2018   International Workshop on Anomaly Detection ON the Cloud and the Internet of Things
ICBDC--ACM, Ei and Scopus 2019   ACM--2019 4th International Conference on Big Data and Computing (ICBDC 2019)--Ei Compendex and Scopus
KLP@SAC 2019   Knowledge and Language Processing Track @ The 34th ACM Symposium on Applied Computing - ACM SAC 2019