International Workshop on Autonomic High Performance Computing (AHPC 2016)

The AHPC Workshop topics include (but are not limited to) the following:

• Autonomic computing systems that exhibit Self-configuration, self-healing, self-protection, self-optimization, self-awareness, and/or self-monitoring

• Software engineering principles and architectures in Autonomic Computing

• Algorithms: machine learning, operations research, probability and stochastic processes, queueing theory, rule-based systems, biological-inspired techniques, and socially-inspired techniques

• Control-based approaches and Control Theory applied to Autonomic High Performance Computing systems

• Autonomic components: hardware accelerators, multi-core servers, storage, and networking

• Data analysis and decision techniques

• Monitoring systems

• Theory and practice of autonomic systems

• Self-Organization and Organic Computing

• Management of resources including hardware, workloads, faults, security, power, and other challenges

• Hypervisor, operating systems, middleware, hardware, or application support for autonomic computing

• Knowledge-based and/or intelligent user interfaces

• Self-adaptability and self-management of context-aware systems

• Cognitive computing and self-awareness in HPC and distributed systems

• Modeling, virtualization, operating systems or application in autonomic computing

• Biologically inspired computing (evolutionary algorithms, cellular automata, DNA computation, amorphous computing, etc)

• Autonomic solutions in Cyber-Physical Systems (CPS) and Internet of Things (IoT)

• Autonomic solutions in security and integrity

• Applications of autonomic computing and experiences in science, engineering, business and society