ACC 2015 - 2015 Autonomic Cloud Cybersecurity Workshop

2015 IEEE International Conference on Cloud and Autonomic Computing (ICCAC)
Cambridge, MA, USA, September 21-24, 2015
Co-located with the 9th IEEE International Conference on Self-Adaptive and Self-Organizing System (SASO 2015) and with the 15th IEEE Peer-to-Peer Computing Conference
Enterprise-scale cloud platforms and services systems, present common and cross-cutting challenges in maximizing power efficiency and performance while maintaining predictable and reliable behavior, and at the same time responding appropriately to environmental and system changes such as hardware failures and varying workloads. Autonomic computing systems address the challenges in managing these environments by integrating monitoring, decision-processing and actuation capabilities to autonomously manage resources and applications based on high-level policies.
Research in cloud and autonomic computing spans a variety of areas, from computer, architecture, middleware services, databases and data-stores, and networks to machine learning and control theory. The purpose of the 3rd International Conference on Cloud and Autonomic Computing (CAC) is to bring together researchers and practitioners across these disciplines to address the multiple facets of self-management in computing systems and applications.
Papers are solicited on a broad array of topics of relevance to cloud and autonomic computing and their intersections, particularly those that bear on connections and relationships among different research areas or report on prototype systems or experiences. The goal is to confirm a premier international forum focused on the latest research, applications, and technologies aimed at making cloud and autonomic computing systems and services easy to design, to deploy and to implement, while achieving the simultaneous goals to be self-manageable, self-regulating and scalable with little involvement of human or system administrators.
Topics of interest include, but are not limited to:
Autonomic Cloud Computing
Self-managing cloud services
Autonomic resource and energy management in cloud computing
Autonomic cloud applications and services
Autonomic virtual cloud resources and services
Cloud workload characterization and prediction
Monitoring, modeling and analysisi of cloud resources and services
Anomaly behavior analysis of autonomic systems and services
Autonomics for Extreme Scales
Large scale autonomic systems
Self-optimizing and self-healing at petacomputing scale
Self-managing middleware and tools for extreme scales
Experiences in autonomic systems and applications at extreme scales (peta/exa-computing)
Autonomic Computing Foundations and Design Methods
Evaluation, validation and quality and correctness assessment of autonomic loops
Theoretical frameworks for modeling and analyzing autonomic computing systems, control and decision theory
Model-based design, software engineering, formal methods, testing, programming languages and environments support
Knowledge representation and visualization of behavior of autonomic systems and services
Autonomic Computing Systems, Tools and Applications
Self-protection techniques of computing systems, networks and applications
Stochastic analysis and prediction of autonomic systems and applications
Benchmarks and tools to evaluate and compare different architectures to implement autonomic cloud systems
High performance autonomic applications
Self-* applications in science and engineering
Self-* Human Machine Interface