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.
09月08日
2014
09月12日
2014
摘要截稿日期
注册截止日期
2017年09月18日 美国 Tucson,USA
2017 International Conference on Cloud and Autonomic Computing2016年09月12日 德国 Augsburg, Germany
2016 International Conference on Cloud and Autonomic Computing
留言