ICCAC 2017 (IEEE International Conference on Cloud and Autonomic Computing) is an academic conference held in Tucson, Arizona, USA on 2017-09-18. The paper submission deadline is 2017-05-05. Acceptance notifications are sent on 2017-06-23.
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 based on high-level policies.
Research in cloud and autonomic computing spans a variety of areas, from distributed systems, computer architecture, middleware services, databases and data-stores, networks, machine learning, and control theory. The purpose of the Fifth International Conference on Cloud and Autonomic Computing (ICCAC) is to bring together researchers and practitioners across these disciplines to address the multiple facets of cloud and autonomic computing.
Papers are solicited on a broad array of topics of relevance to cloud and autonomic computing and their intersections, including those that bear on connections and relationships among different research areas or report on prototype systems or experiences. The ICCAC conference seeks also papers on autonomic aspects of combining cloud computing with fog and edge computing. The goal is to continue our 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 also being self-manageable, self-regulating and scalable with little involvement of humans or system administrators.
Topics
Autonomic Cloud Computing
Self-managing cloud services
Autonomic resource and energy management in cloud computing
Autonomic cloud applications and services
Autonomic virtual cloud resources and services
Cloud workload characterization and prediction
Monitoring, modeling and analysis of cloud resources and services
Anomaly behavior analysis of autonomic systems and services
Autonomic aspects of combining cloud computing with fog and edge computing
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 Computing Foundations and Design Methods
Evaluation, validation and quality and correctness assessment of autonomic loops
Theoretical frameworks for modeling and analyzing autonomic computing systems, control and decision theory
Model-based design, software engineering, formal methods, testing, programming languages and environments support
Knowledge representation and visualization of behavior of autonomic systems and services
Autonomic Computing Systems, Tools and Applications
Self-protection techniques of computing systems, networks and applications
Stochastic analysis and prediction of autonomic systems 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
Autonomic systems and applications combining cloud computing with fog computing and edge computing
Paper/Poster Submission and Publication
Full papers (a maximum of 12 pages in length), industrial experience reports (a maximum of 8 pages) and posters (a maximum of 4 pages) are invited on a wide variety of topics relating to cloud and autonomic computing as indicated above. All papers must follow the IEEE proceedings format. 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 ICCAC 2017 review process. Authors should submit full papers or posters electronically following the instructions from the ICCAC 2017 conference 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.