Abbrevation
ICAC
City
Wuerzburg
Country
Germany
Deadline Paper
Start Date
End Date
Abstract

ICAC is the leading conference on autonomic computing, its foundations, principles, engineering, technologies, and applications&#046; Nowadays, complex systems of all types, like large&#8211;scale data centers, cloud computing infrastructures, cyber&#8211;physical systems, the internet of things, self&#8211;organizing systems, organic computing systems, cognitive computing systems, or self&#8211;aware computing systems, are increasingly complex, involving many active, interconnected components requiring careful coordination&#046; Being impossible for a human to manage such systems, the autonomic computing paradigm with its support for self&#8211;management capabilities becomes increasingly indispensable for the components of our IT world&#046;<br>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:<br>Foundations<br>Fundamental science and theory of autonomic computing systems and feedback control for software, self&#8211;awareness and self&#8211;expression<br>Algorithms, such as AI, machine learning, control theory, operations research, probability and stochastic processes, queueing theory, rule&#8211;based systems, biological&#8211;inspired techniques, and socially&#8211;inspired techniques<br>Formal models and analysis of self&#8211;management, emergent behavior, uncertainty, self&#8211;organization, self&#8211;awareness, trustworthiness<br>Resource Management in Data Centers<br>Hypervisors, operating systems, middleware, and platforms for self&#8211;managing data centers and cloud infrastructures<br>Sensing, energy efficiency, and resource adaptation<br>Autonomic components, such as multi&#8211;core servers, storage, networking, and hardware accelerators<br>Applications and case studies of end&#8211;to&#8211;end design and implementation of systems for resource management<br>Cyber&#8211;Physical Systems (CPS) and Internet of Things (IoT)<br>System architectures OS, services, middleware, and protocols for CPS and IoT<br>Energy, real&#8211;time, and mobility management<br>Design principles, methodologies, and tools for CPS and IoT<br>Self&#8211;organization under severe resource constraints<br>Applications and case studies of autonomic CPS and IoT<br>Self&#8211;Organization and Organic Computing<br>Self&#8211;organization principles and organic computing principles<br>borrowed from systems theory, control theory, game theory, decision theory, social theories, biological theories, etc&#046;<br>Self&#8211;organization, emergent behavior, decentralized control, individual and social/organizational learning, scalability, robustness, goal&#8211; and norm&#8211;governed behavior, online self&#8211;integration for trustworthy self&#8211;organizing and organic systems<br>Infrastructures and architectures for self&#8211;organizing systems and organic computing systems<br>Applications and case studies for self&#8211;organization and organic computing<br>Emerging Computing Paradigms: Cognitive Computing, Self&#8211;Aware Computing<br>Advanced learning for cognitive computing such as meta&#8211;cognitive learning, self&#8211;regulatory learning, consciousness and cognition in learning, collaborative / competitive learning, and online / sequential learning<br>Architectures, control, algorithmic approaches, instrumentation, and infrastructure for cognitive computing and self&#8211;aware systems<br>Cognitive computing and self&#8211;awareness in heterogeneous and decentralized systems<br>Applications and case studies for social networks, big data systems, deep learning systems, games, and artificial assistants, cognitive robots, and systems with self&#8211;awareness and self&#8211;expression<br>Software Engineering for Autonomic Computing Systems: Architecture, Specifications, Assurances<br>Design methodology, frameworks, principles, infrastructures, and tools for development and assurances for autonomic computing systems<br>System architectures, services, components and platforms broadly applicable for autonomic computing system engineering<br>Goal specification and policies, modeling of service&#8211;level agreements, behavior enforcement, IT governance, and business&#8211;driven IT management<br>Applications and case studies for software engineering approaches for autonomic computing systems<br>