CAC 2014 - The ACM* International Conference on Cloud and Autonomic Computing (CAC 2014)

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.
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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.
Special Tracks
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
Paper/Poster Submission
Full papers (a maximum of 10 pages in length) and posters (4 pages) are invited on a wide variety of topics relating to autonomic computing as indicated above. Both full and short papers must follow the official ACM proceedings format with strict adherence to SIGS style (i.e., Option 1). Both kinds of papers should be submitted via the Web submission form, available here. All manuscripts will be reviewed and judged on merits including originality, significance, interest, correctness, clarity, and relevance to the broader community. Papers are strongly encouraged to report experiences, measurements, and user studies, and to provide an appropriate quantitative evaluation.
Submitted papers must include original work, and may not be under consideration for another conference or journal. They should also not be under review or be submitted to another forum during the CAC-14 review process. Authors should submit full papers or posters electronically following the instructions from the CAC-14 conference web site. Formatting instructions will also be posted at the web site. Accepted papers and posters will appear in proceedings distributed at the conference and available electronically. Authors of accepted papers/poster are expected to present their work at the conference. Authors are also encouraged to submit a poster or demo that summarizes and highlights the main points of their paper (see below). Extended versions of the best papers will be considered for a special section of TAAS and a special issue in Cluster Computing Journal.
Authors are also encouraged to submit a poster or demo that summarizes and highlights the main points of their paper (see below). Extended versions of the best papers will be considered for a special section of TAAS and a special issue in Cluster Computing Journal.