ICAC is the leading conference on autonomic computing techniques, foundations, and applications. Large-scale systems of all types, such as data centers, computer clouds, smart cities, cyber-physical systems, sensor networks, and embedded or pervasive environments, 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, modeling, control theory, optimization, planning, decision theory, user interface design, data management, software engineering, emergent behavior analysis, and bio-inspired computing. 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.
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
07月19日
2016
07月22日
2016
摘要截稿日期
注册截止日期
2018年09月03日 意大利
2018 IEEE International Conference on Autonomic Computing2017年07月17日 美国 Columbus
2017 IEEE自主计算国际会议2013年06月26日 美国
第10届国际自主计算会议
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