[hpc-announce] [ICAC 2018] CfP

[Alessandro Papadopoulos]

ICAC 2018 Call for Technical Papers

Apologies if you receive multiple copies.

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- The 15th IEEE International Conference on Autonomic Computing (ICAC 2018) -
- September 3-7, 2018 -- Trento, Italy --                                   -
- http://icac2018.informatik.uni-wuerzburg.de/                              -
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IMPORTANT DATES
   Abstract Submission Deadline    March 25, 2018
   Paper Submission Deadline       April 8, 2018
   Author Notification             June 3, 2018
   Camera Ready                    July 1, 2018


SCOPE AND TOPICS

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, involve many active, interconnected
components that require careful coordination. Being impossible for a human to manage such systems, the autonomic
computing paradigm with its support for self-management capabilities is increasingly indispensable for the
components of our IT world. ICAC 2018 seeks the latest research advances on science and engineering concerning
all aspects of autonomic computing, including but not limited to the following main research topics:

1. Foundations

   a) Fundamental theory of autonomic computing
   b) 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
   c) Formal models and analysis of self-management, emergent behavior, uncertainty, self-organization, self-awareness, and trustworthiness
      Resource Management in Data Centers
   d) Hypervisors, operating systems, middleware, and platforms for self-managing data centers and cloud infrastructures
   e) Sensing and computing/storage/networking/power/cooling resource adaptation
   f) Autonomic components, such as multi-core servers, storage, networking, and hardware accelerators
   g) Applications and case studies of end-to-end design and implementation of systems for resource and performance management

2. Autonomic Cloud Computing

   a) Self-managing cloud services
   b) Autonomic cloud applications and services
   c) Autonomic virtual cloud resources and services
   d) Cloud workload characterization and prediction
   e) Monitoring, modeling and analysis of cloud resources and services
   f) Anomaly behavior analysis of autonomic systems and services
   g) Autonomic aspects of combining cloud computing with fog and edge computing

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

   a) System architectures OS, services, middleware, and protocols for CPS and IoT
   b) Energy, real-time, and mobility management
   c) Design principles, methodologies, and tools for CPS and IoT
   d) Self-organization under severe resource constraints
   e) Applications and case studies of autonomic CPS and IoT

4. Autonomics for Extreme Scales

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


5. Self-Organization and Organic Computing

   a) Self-organization principles and organic computing principles borrowed from systems theory, 
      control theory, game theory, decision theory, social theories, biological theories, etc.
   b) 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
   c) Infrastructures and architectures for self-organizing systems and organic computing systems
   d) Applications and case studies for self-organization and organic computing

6. Emerging Computing Paradigms: Cognitive Computing, Self-Aware Computing

   a) 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
   b) Architectures, control, algorithmic approaches, instrumentation, and infrastructure for cognitive
      computing and self-aware systems
   c) Cognitive computing and self-awareness in heterogeneous and decentralized systems
   d) 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

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

   a) Design methodology, frameworks, principles, infrastructures, and tools for development and 
      assurances for autonomic computing systems
   b) System architectures, services, components and platforms broadly applicable for autonomic 
      computing system engineering
   c) Goal specification and policies, modeling of service-level agreements, behavior enforcement, 
      IT governance, and business-driven IT management
   d) 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:

   a) Full paper, limited to 10 pages including references (double column, IEEE format)
   b) 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/).