The 12th Workshop on Feedback Computing
Feedback Computing 2017
In Conjunction with the 14th IEEE Int. Conference on Autonomic Computing (ICAC 2017)

Columbus, Ohio, USA July 17, 2017

The Feedback Computing Workshop (FCW) brings together researchers and practitioners working with adaptive, feedback-driven computer systems and software. The scope of the workshop includes modeling, analyzing, designing, optimizing and adapting computing systems with respect to metrics such as performance, predictability, availability, security, power consumption, and thermal concerns. Feedback can affect a wide range of computing systems including high-performance grids, cloud and web service infrastructures, mobile systems, Internet servers, SOCs, embedded systems, Internet of Things and sensor networks. FCW welcomes discussion on any type of feedback-driven systems. FCW recognizes the growing role of feedback in managing computer systems and is a timely response to the following two trends:
1. Computer systems are growing larger, smarter, and more complex. They are embedded in the physical world, human interactions, and societal infrastructure. Systematic and feedback-driven approaches can address the dynamic interactions between computer systems and the real world, especially in emerging fields such as cyber-physical systems, cloud computing, social networks, and mobile applications.
2. Advances in disciplines such as machine learning, mathemati­cal optimization, network theories, decision theories, and data engineering provide new foundations and techniques that empower feedback approaches to address computing systems at scale and to achieve goals such as autonomy, adaptation, stabilization, robustness, and performance optimization.
In 2016, FCW will feature invited talks from prolific researchers and practitioners working with feedback-driven systems. In addition, FCW will also feature research contribu­tions and position papers on advancing feedback control technolo­gies and their applications in computing systems, broadly defined.

Topics of interest include but are not limited to:
• Theoretical foundations for feedback computing
• New control paradigms and system architecture
• Sensing, actuation, and data management in feedback computing
• Learning and modeling of computing system dynamics
• Design patterns and software engineering
• Experiences and best practices from real systems
• Studies with new or emerging types of feedback, e.g., Twitter analysis, approximate computing, crash reports, markets or user studies
• Applications in domains such as big data, cloud comput­ing, computer networks, cyber-physical systems, data center resource management, distributed systems, mobility, power management and sustainability, real-time systems, and social networks
We solicit research papers containing original research results and challenge papers motivating new research directions. In addition, the workshop will facilitate discussion and collaborative research among the participants.
Important Dates

Paper submission deadline: May 5
Notification to authors: June 1

Paper Submission

All submissions should be formatted according to the standard ACM two-column proceeding guidelines. Manuscript templates are available for download at http://www.acm.org/sigs/publications/proceedings-templates. The workshop follows a single-blind review process. Authors are invited to submit three types of papers to emphasize the multiple foci of this workshop:
→ Research Papers: Research papers must represent original, unpublished contributions and must not exceed 6 pages in length (excluding references).
→ Challenge Papers: Challenge paper submissions must motivate research challenges with real systems that can take advantage of feedback computing, and should not exceed 3 pages in length (excluding references).
→ Application Papers: Application paper submissions must be based on real experience and working systems. All submissions should be formatted as annotated slides—a visual in the upper half of a page and the explanatory text in the lower half—and should not exceed 15 slides in length. Please use the EasyChair submission system to submit a paper at https://easychair.org/conferences/submission_new.cgi?a=13797297.

Workshop Organizers

General Chair
Martina Maggio, Lund University, Sweden

Program Chair
Sherif Abdelwahed, Mississippi State University
Stefano Iannuci, Mississippi State University

Publicity Chair
Qian Chen, Savannah State University

Program Committee
Alessandro V. Papadopoulos, Mälardalen University
Antonio Filieri, Imperial College London
Bhuvan Urgoankar, Penn State University
Christopher Charles Stewart, Ohio State University
Cristian Klein, Umea University
Emiliano Casalicchio, Blekinge Institute of Technology
Mark Squillante, IBM Research
Qian Chen, Savanah State University
Rean Griffith, VMware Inc.
Sharad Singhal, Hewlett Packard Enterprise
Valeria Cardellini, University of Rome “Tor Vergata”
Zhikui Wang, Huawei Technologies

Steering Committee
Tarek Abdelzaher, University of Illinois at Urbana-Champaign
Yixin Diao, IBM T.J. Watson Research Center
Joseph L. Hellerstein, University of Washington
Chenyang Lu, Washington University in St. Louis
Anders Robertsson, Lund University
Xiaoyun Zhu, Futurewei Technologies