Abbrevation
ICAC
City
Melbourne
Country
Australia
Deadline Paper
Start Date
End Date
Abstract

ICAC is the leading conference on autonomic computing techniques, foundations, and applications&#046; Large&#8211;scale systems of all types, such as data centers, compute clouds, sensor networks, embedded or pervasive environments, and the Internet of Things are becoming increasingly complex and burdensome for people to manage&#046; Autonomic computing systems reduce this burden by managing their own behavior in accordance with high&#8211;level goals&#046; 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&#046; Achieving self&#8211;management requires and motivates research that spans a wide variety of scientific and engineering disciplines, including distributed systems, artificial intelligence, machine learning, modeling, control theory, optimization, planning, decision theory, user interface design, data management, software engineering, emergent behavior, and bio&#8211;inspired computing&#046; ICAC brings together researchers and practitioners from disparate disciplines, application domains, and perspectives, enabling them to discover and share underlying commonalities in their approaches to making resources, applications, and systems more autonomic&#046;<br>Topics<br>Papers are solicited from all areas of autonomic computing, including (but not limited to):<br>* Self&#8211;managing components, such as compute, storage, and networking devices; embedded and real&#8211;time systems; and mobile devices such as smart phones<br>* AI and mathematical techniques, such as machine learning, control theory, operations research, probability and stochastic processes, queuing theory, rule&#8211;based systems, and bio&#8211;inspired techniques, and their use in autonomic computing<br>* End&#8211;to&#8211;end design and implementations for management of resources, workloads, availability, performance, reliability, power/cooling, security, and others<br>* Monitoring systems that can scale to large environments<br>* Hypervisors, operating systems, middleware, or application support for autonomic computing<br>* Novel human interfaces for monitoring and controlling autonomic systems<br>* Goal specification and policies, including specification and modeling of service&#8211;level agreements, behavior enforcement, IT governance, and business&#8211;driven IT management<br>* Frameworks, principles, architectures, and toolkits, from software engineering practices and experimental methodologies to agent&#8211;based techniques<br>* Automated management techniques for emerging applications, systems, and platforms, including social networks, Big Data systems, multi&#8211;core processors, and Internet of Things<br>* Fundamental science and theory of self&#8211;managing systems for understanding, controlling, or exploiting emergent system behaviors to enforce autonomic properties<br>* Applications of autonomic computing and experiences with prototyped or deployed systems solving real&#8211;world problems in science, engineering, business, or society<br>