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Introduction

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. Research in cloud and autonomic computing spans a variety of areas, from computer systems, architecture, middleware services, databases and data-stores, and networks to machine learning and control theory. The purpose of the 2nd 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, and particularly those that bear on connections and relationships among different research areas or report on prototype systems or experiences. The goal is establish 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.

Call for paper

Important date

2014-04-18
Abstract submission deadline

Submission Topics

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: Autonomic Cloud Computing: Self-management cloud services Autonomic cloud applications and services Autonomic virtual cloud resources and services Cloud workload characterization and prediction Monitoring and analysis of behavior of cloud resources and services Theoretical frameworks for modeling and analysis autonomic computing 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 Cloud Cybersecurity: Self-protection techniques of computing systems, networks and applications Metrics to evaluate and performance of self-protection algorithms Anomaly behavior analysis of autonomic systems and services Data mining, stochastic analysis and prediction of autonomic systems and applications Metrics to characterize and quantify the cybersecurity algorithms (confidentiality, integrity, and availability of autonomic systems) Datasets and benchmarks to compare and evaluate different self-protection techniques Autonomic Tools 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 Full visibility into the behavior of autonomic systems and services Knowledge representation and visualization of behavior of autonomic systems and services
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Important Date
  • Conference Date

    Sep 08

    2014

    to

    Sep 12

    2014

  • Apr 18 2014

    Abstract Submission Deadline

  • Sep 12 2014

    Registration deadline

Sponsored By
Cloud and Autonomic Computing (CAC) Center
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