IEEE International Conference on Cloud and Autonomic Computing (ICCAC 2015)
autonomic-conference.org
Cambridge, MA, USA
September 21-25, 2015

Co-located with the
Ninth IEEE International Conference on Self-Adaptive and Self-Organizing System (SASO 2015) and with the
15th IEEE Peer-to-Peer Computing Conference


Overview
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 computer systems, architecture, middleware services, databases and data-stores, and networks to machine learning and control theory. The purpose of the 3rd 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, particularly those that bear on connections and relationships among different research areas or report on prototype systems or experiences. The goal is to confirm 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.
Topics of interest include, but are not limited to:

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

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

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 CAC 2015 review process. Authors should submit full papers or posters electronically following the instructions from the CAC 2015 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.

Workshops, Demonstrations and Exhibitions:
CAC 2015 welcomes proposals for co-located workshops on specific topics of general interest to the cloud and autonomic computing community. Workshops are expected to publish proceedings, and should cover areas that may not be properly addressed in the main scientific program. CAC 2015 will also feature a demonstration and exhibition session consisting of prototypes and technology artifacts such as demonstrating autonomic software or autonomic computing principles.

Organizing Committee

General Chair:
* Danny Menasce (George Mason University, USA)

PC Co-chairs:
* Eric Rutten (INRIA, France)
* Prashant Shenoy (University of Massachusetts Amherst, USA)

PC Committee:

* Karl-Erik Arzen, U. Lund, Sweden
* Ioana Banicescu, Mississippi State Univ., USA
* Thais Vasconcelos Batista, University of Rio Grande do Norte, Brazil
* Umesh Bellur, IIT Bombay, India
* Nelly Bencomo, Aston University, UK
* Junwei Cao, Tsinghua University, China
* Franck Cappello, Urbana-Champaign, USA
* Giuliano Casale, Imperial College London, UK
* Emiliano Casalicchio, University of Rome, Tor Vergata, Italy
* Abhishek Chandra, University of Minnesota, USA
* Lydia Y. Chen, IBM Research GmbH, Zurich, Switzerland
* Fabio Costa, Universidade Federal de Goias, Brazil
* Marco Danelutto, University of Pisa, Italy
* Frederic Desprez, INRIA, France
* Yixin Diao, IBM Research, USA
* Jim Dowling, Swedish Institute of Computer Science (SICS), Sweden
* Laurence Duchien, Universite de Lille/INRIA, France
* Erik Elmroth, Umea University and Elastisys, Sweden
* Antonio Filieri, University of Stuttgart, Germany
* Harry Foxwell, Oracle, USA
* Indranil Gupta, UIUC, USA
* David Irwin, UMass, USA
* Yoonhee Kim, Sookmyung Women's University, Korea
* Hector Alejandro Duran Limon, Univ. de Guadalajara, Mexico
* Martina Maggio, Lund University, Sweden
* Maitreya Natu, TCS, India
* Marco D. Santambrogio, Politecnico di Milano, Italy
* Tallat M. Shafaat, Google, Mountain View, CA, USA
* Evgenia Smirni, College of William and Mary, VA, USA
* Chris Stewart, Ohio State University, USA
* Bhuvan Urgaonkar, Penn State Univ, USA
* Timothy Wood, George Washington University, DC, USA
* Dongyan Xu, Purdue University, USA

Publicity Committee:
* Youssif Al-Nashif, chair (Old Dominion University, USA)
* Yaser Jararwah, co-chair (Jordan University of Science and Technology, Jordan)
* Bharat Madan, co-chair (Old Dominion University, USA)
* Ivan Rodero, co-chair (Rutgers University, USA)
* Keiichi Shima, co-chair (Research Laboratory, IIJ Innovation Institute, Inc., Japan)
* Jinsong Wu, co-chair (Universidad de Chile, Santiago, Chile)

Steering Committee:
* Simon Dobson (University of St Andrews, Scotland)
* Geoffrey Fox (Indiana University Bloomington, USA)
* Salim Hariri (University of Arizona, USA)
* Soonwook Hwang (Korea Institute of Science and Technology Information, South Korea)
* Julie McCann (Imperial College, UK)
* Manish Parashar (Rutgers University, USA)
* S. Masoud Sadjadi (Florida International University, USA)
* Alan Sill (Texas Tech University, USA)
* Vladimir Vlassov (KTH Royal Institute of Technology, Sweden)