征稿已开启

查看我的稿件

注册已开启

查看我的门票

已截止
活动简介

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.

征稿信息

重要日期

2014-04-18
摘要截稿日期

征稿范围

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
留言
验证码 看不清楚,更换一张
全部留言
重要日期
  • 会议日期

    09月08日

    2014

    09月12日

    2014

  • 04月18日 2014

    摘要截稿日期

  • 09月12日 2014

    注册截止日期

主办单位
Cloud and Autonomic Computing (CAC) Center
联系方式
历届会议
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询