ICAC 2018 : IEEE International Conference on Autonomic Computing

  in Conferences   Posted on February 15, 2018

Conference Information

Submission Deadline Sunday 08 Apr 2018 Proceedings indexed by :
Conference Dates Sep 3, 2018 - Sep 7, 2018
Conference Address Trento, Italy
Conference & Submission Link http://icac2018.informatik.uni-wuerzburg.de/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 227
Category Rankings
Machine Learning & Arti. Intelligence 57
Networks and Communications 60

Google Scholar H5-index:

Conference Call for Papers

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:


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

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