AHPC 2018 - 4th International Workshop on Autonomic High Performance Computing (AHPC 2018)

Due to the increasing complexity, scale and heterogeneity in computing systems and applications, including hardware, software, sensors, communications and networks, there are needs for Autonomic Computing (AC) focusing on self-manageable systems that exhibit self-configuration, self-healing, self-protection, self-optimization, and/or self-monitoring. It is getting even more critical with the ubiquitous permeation of embedded and IoT devices, Clouds and Big Data.
Autonomic computing requires monitoring, decision making, resource management, and actuation capabilities. The works span a wide spectrum of topics and expertise such as distributed systems, computer architecture, middleware services, databases and data-stores, high speed networks, machine learning, and control theory.
The purpose of this workshop is intended to bring together specialists and researchers in those converging specialties to share views and address technical issues and developments for autonomic and high performance computing.
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 Cloud, Fog, and Edge Computing and Services
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