From mboxrd@z Thu Jan 1 00:00:00 1970 From: Ming Zhao Subject: FeedbackComputing14 paper submission due on March 25 (9th International Workshop on Feedback Computing) Date: Fri, 7 Mar 2014 22:47:02 -0500 Message-ID: <20140308034711.B5200DB7B@cheetah.cs.fiu.edu> Mime-Version: 1.0 Content-Type: text/plain; charset="iso-8859-1"; Format="flowed" Content-Transfer-Encoding: quoted-printable Return-path: List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Sender: virtualization-bounces@lists.linux-foundation.org Errors-To: virtualization-bounces@lists.linux-foundation.org To: virtualization@lists.linux-foundation.org List-Id: virtualization@lists.linuxfoundation.org Feedback Computing 2014 Call for Papers June 17th, 2014, Philadelphia, PA, collocating with USENIX ATC and ICAC http://www.usenix.org/conference/feedbackcomputing14 Submission deadline in two weeks! Key Dates: * Paper submissions due: March 25, 2014, 11:59 p.m. PDT * Notification to authors: April 22, 2014 * Final paper files due: May 22, 2014 = Overview: The 2014 International Workshop on Feedback Computing will be held in June = 2014, as part of USENIX Federated Conferences Week in Philadelphia, PA. The= workshop is a unique forum dedicated to advancing feedback system theory a= nd practice in modeling, analyzing, designing, and optimizing computing sys= tems. It represents a timely response to the following two trends: 1. Computing systems are growing larger, smarter, and more complex, embeddi= ng in the physical world, human interactions, and societal infrastructure. = Systematic and feedback-driven approaches are critical for addressing the d= ynamic complexity that arises in new fields such as cyber-physical systems,= cloud computing, social networks, and mobile applications. 2. Advances in disciplines such as machine learning, mathematical optimizat= ion, network theories, decision theories, and data engineering provide new = foundations and techniques that empower feedback approaches to address comp= uting systems at scale and to achieve goals such as autonomy, adaptation, s= tabilization, robustness, and performance optimization. = Topics: The Feedback Computing Workshop seeks original research contributions and p= osition papers on advancing feedback control technologies and their applica= tions 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 * Applications in domains such as big data, cloud computing, computer netwo= rks, cyber-physical systems, data center resource management, distributed s= ystems, mobility, power management and sustainability, real-time systems, a= nd social networks We encourage research papers containing original research results, challeng= e papers motivating new research directions, and application papers describ= ing experiences from real systems. In addition, the workshop will facilitat= e discussion and collaborative research among the participants. One Best Pa= per Award will be announced at the end of workshop to recognize the current= best work in feedback computing. = Paper Submissions The workshop follows a single-blind review process. Authors are invited to = submit three types of papers to emphasize the multiple focuses of this work= shop: * Research Papers: Research papers must represent original, unpublished con= tributions and must not exceed 6 pages in length (excluding references). * Challenge Papers: Challenge paper submissions must motivate research chal= lenges 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 e= xperience and working systems. All submissions should be formatted as annot= ated slides=C2=97a visual in the upper half of a page and the explanatory t= ext in the lower half=C2=97and should not exceed 15 slides in length. Please refer to https://www.usenix.org/conference/feedbackcomputing14/call-= for-papers for submission instructions. Committee: General Chair: Jie Liu, Microsoft Research TPC Chairs: Sharad Singhal, HP Labs Bhuvan Urgaonkar, Penn State TPC: Eduardo Tovar, Polytechnic Institute of Porto Pradeep Padala, Vmware Arif Merchant, Google Qian Wang, Penn State Karl-Erik Arzen, Lund University Jeffrey Kephart, IBM Research Mark Squillante, IBM Research Sherif Abdelwahed, Mississippi State University Martina Maggio, Lund University Ming Zhao, Florida International University