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 from high–level policies.<br>Special Tracks<br>The 2014 CAC conference will be organized around 3 crosscutting themes: (1) Clouds and Autonomic Computing: NaaS/IaaS – Network and Infrastructure; (2) Clouds and Autonomic Computing: PaaS, Middleware, Tools, Security and Privacy; and (3) Clouds and Autonomic Computing: SaaS– Applications and Performance. Topics of interest include, but are not limited to:<br>Autonomic Cloud Computing:<br>Self–management cloud services<br>Autonomic cloud applications and services<br>Autonomic virtual cloud resources and services<br>Cloud workload characterization and prediction<br>Monitoring and analysis of behavior of cloud resources and services<br>Theoretical frameworks for modeling and analysis autonomic computing systems and services<br>Autonomics for Extreme Scales:<br>Large scale autonomic systems<br>Self–optimizing and self–healing at petacomputing scale<br>Self–managing middleware and tools for extreme scales<br>Experiences in autonomic systems and applications at extreme scales (peta/exa–computing)<br>Autonomic Cloud Cybersecurity:<br>Self–protection techniques of computing systems, networks and applications<br>Metrics to evaluate and performance of self–protection algorithms<br>Anomaly behavior analysis of autonomic systems and services<br>Data mining, stochastic analysis and prediction of autonomic systems and applications<br>Metrics to characterize and quantify the cybersecurity algorithms (confidentiality, integrity, and availability of autonomic systems)<br>Datasets and benchmarks to compare and evaluate different self–protection techniques<br>Autonomic Tools and Applications:<br>Benchmarks and tools to evaluate and compare different architectures to implement autonomic cloud systems<br>High performance autonomic applications<br>Self* applications in science and engineering<br>Self* Human Machine Interface<br>Full visibility into the behavior of autonomic systems and services<br>Knowledge representation and visualization of behavior of autonomic systems and services<br>
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CAC
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London
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UK
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