ICAC: International Conference on Autonomic Computing

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2018 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
ICAC 2017 14th IEEE International Conference on Autonomic Computing
Jul 17, 2017 - Jul 21, 2017 Columbus, OH, USA Feb 21, 2017 (Feb 14, 2017)
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 : 2017

ICAC is the leading conference on autonomic computing, its foundations, principles, engineering, technologies, and applications. Nowadays, complex systems of all types, like large-scale data centers, cloud computing infrastructures, cyber-physical systems, the internet of things, self-organizing systems, organic computing systems, cognitive computing systems, or self-aware computing systems, are increasingly complex, involving many active, interconnected components requiring careful coordination. Being impossible for a human to manage such systems, the autonomic computing paradigm with its support for self-management capabilities becomes increasingly indispensable for the components of our IT world.

The conference seeks latest research advances on science and engineering concerning all aspects of autonomic computing, including but not limited to the following main research topics:

Foundations

Fundamental science and theory of autonomic computing systems and feedback control for software, self-awareness and self-expression
Algorithms, such as AI, machine learning, control theory, operations 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, trustworthiness

Resource Management in Data Centers

Hypervisors, operating systems, middleware, and platforms for self-managing data centers and cloud infrastructures
Sensing, energy efficiency, and 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 management

Cyber-Physical Systems (CPS) and Internet of Things (IoT)

System architectures OS, 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

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 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 are autonomous robotics, cloud 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 papers must represent original and unpublished work that is not currently under review. Submissions are required to mark at least one topic area. Papers will be reviewed by at least three PC members including at least two having specific domain expertise concerning the indicated main research topics and judged 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.

Papers can be submitted in one of the following three categories with different acceptance criteria for each category:

Full research papers limited to 10 pages (double column, IEEE format)
Experience papers limited to 8 pages (double column, IEEE format)
Short papers limited to 6 pages (double column, IEEE format)
Full and experience research papers are strongly encouraged to report on experiences, measurements, user studies, and provide an appropriate quantitative evaluation if at all possible. Short papers can either be work in progress, or position and challenge papers that motivate the community to address new challenges. See conference website for format instructions.

We will award the Karsten Schwan Best Paper Award to a full research paper and it is planned that a selection of the best papers of the full research paper category will be invited to submit an extended version of their contribution for a ICAC 2017 special issue after the conference.
 

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