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Subject:
From:
Mohammad Alsmirat <[log in to unmask]>
Reply To:
Mohammad Alsmirat <[log in to unmask]>
Date:
Thu, 1 Jun 2017 11:52:17 +0300
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*2017 IEEE International Conference on Cloud and Autonomic Computing
(ICCAC)*

*http://www.autonomic-conference.org/iccac-2017/
<http://www.autonomic-conference.org/iccac-2017/>
<http://www.autonomic-conference.org/iccac-2017/>*

*The University of Arizona, Tucson, AZ, USA*

*September 18-22, 2017*

*Co-located with the IEEE International Conference on Self-Adaptive and
Self-Organizing Systems*
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
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.
TopicsAutonomic 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


*Important Dates*

Papers submission deadline: June 5, 2017
Author notification: June 23, 2017
Camera-ready papers: July 21, 2017

​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.

Submission Instructions
Please register and submit your ICCAC paper using the submission link
below:
https://easychair.org/conferences/?conf=iccac2017

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