日本データベース学会

dbjapanメーリングリストアーカイブ(2014年)

論文募集: USENIX ICAC '14 (2月26日概要締切)


日本データベース学会の皆様
(重複してお受け取りの際はご容赦ください)

富士通研の金政です。

私がプログラム委員を務めておりますICAC'14国際会議の概要締切が
2週間後、論文締切が3週間後に迫っています。

この会議はオートノミック・コンピューティングをリードする会議で、
プログラム委員にIBMのJeff Kephartが名を連ねるなど、本分野の研
究を発表するには申し分のない場だと思われます。また、USENIXの
Federated Conferences Weekの中でAnnual Technical Conferenceや
HotStorageなどとの共催ですので、発表ついでに研究動向調査をする
にも打って付けです。

昨年のICACの査読では、ほとんど全ての論文が4人以上の査読者に
よって査読され、5~6人の査読者が付く論文も多くありました。産
学両面の研究者がバランスよく混ざっているのと相まって、幅広い研
究者からのフィードバックが期待できると思います。

会議のトピックは、広い意味での「自動化・自律化」全般となります
ので、皆様の研究にも該当するものが多々あることかと思われます。
御投稿を検討いただけましたら幸いです。

-- 
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 株式会社 富士通研究所
  システムソフトウェア研究所
   システムマネジメント研究部
        金政 泰彦
    (kanemasa [at] jp.fujitsu.com)
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CALL FOR PAPERS

11th International Conference on Autonomic Computing (ICAC '14)
June 18-20, 2014
Philadelphia, PA, USA
Part of USENIX Federated Conferences Week, June 17-20, 2014

http://www.usenix.org/conference/icac14


ICAC is the leading conference on autonomic computing techniques,
foundations, and applications. Large-scale systems of all types, such as
data centers, compute clouds, smart cities, cyber-physical systems, sensor
networks, and embedded or pervasive environments, are becoming
increasingly complex and burdensome for people to manage. Autonomic
computing systems reduce this burden by managing their own
behavior in accordance with high-level goals. In autonomic systems,
resources and applications are managed to maximize performance and
minimize cost, while maintaining predictable and reliable behavior in
the face of varying workloads, failures, and malicious threats. Achieving
self-management requires and motivates research that spans a wide
variety of scientific and engineering disciplines, including distributed
systems, artificial intelligence, machine learning, modeling, control
theory, optimization, planning, decision theory, user interface design,
data management, software engineering, emergent behavior analysis,
and bio-inspired computing. ICAC brings together researchers
and practitioners from disparate disciplines, application domains and
perspectives, enabling them to discover and share underlying com-
monalities in their approaches to making resources, applications and
systems more autonomic.


IMPORTANT DATES

* Paper registrations (titles and abstracts) due: February 26, 2014,
  11:59 p.m. EST (hard deadline, no extensions)
* Paper submissions due: March 5, 2014, 11:59 p.m. EST (hard deadline,
  no extensions)
* Notification to authors: April 9, 2014
* Final paper files due: May 20, 2014


TOPICS

Papers are solicited from all areas of autonomic computing, including
(but not limited to):
* Self-managing components, such as compute, storage, and networking
  devices, embedded and real time systems, and mobile devices such
  as smartphones.
* AI and mathematical techniques, such as machine learning, control
  theory, operations research, probability and stochastic processes,
  queueing theory, rule-based systems, and bio-inspired techniques,
  and their use in autonomic computing.
* End-to-end design and implementation of systems for management of
  resources, workloads, scalability, availability, performance,
  reliability, power/cooling, and security.
* Monitoring components and platforms for autonomic systems in IT
  or cyber-physical environments.
* Hypervisors, operating systems, middleware, or application support
  for autonomic computing.
* Novel human interfaces for monitoring and controlling autonomic
  systems.
* Goal specification and policies, including specification and
  modeling of service-level agreements, behavior enforcement, IT
  governance, and business-driven IT management.
* Frameworks, principles, architectures, and toolkits, from
  software engineering practices and experimental methodologies to
  agent-based techniques.
* Automated management techniques for emerging applications, systems,
  and platforms, including social networks, cloud computing, big
  data systems, multi-core servers, smart cities, and cyber-physical
  systems.
* Fundamental science and theory of self-managing systems for
  understanding, controlling or exploiting emergent system behaviors
  to enforce autonomic properties.
* Applications of autonomic computing and experiences with prototyped
  or deployed systems solving real-world problems in science,
  engineering, business, or society.

Papers will be judged on originality, significance, interest,
correctness, clarity, and relevance to the broader community.
Papers are strongly encouraged to report on experiences, measurements,
user studies, and provide an appropriate quantitative evaluation
if at all possible.


CONFERENCE ORGANIZERS

* General Chair
  Xiaoyun Zhu, VMware

* Program Co-Chairs
  Giuliano Casale, Imperial College London
  Xiaohui (Helen) Gu, North Carolina State University

* Program Vice-Chairs for Management of Big Data Systems
  Karsten Schwan, Georgia Institute of Technology
  Vanish Talwar, HP Labs

* Program Vice-Chair for Smart Cyber-Physical Systems
  Ron Ambrosio, IBM Thomas J. Watson Research Center

* Poster Chair
  Christopher Stewart, The Ohio State University

* Publicity Chairs
  Martina Maggio, Lund University
  Ming Zhao, Florida Intentional University

* Program Committee
  Tarek Abdelzaher, University of Illinois at Urbana-Champaign
  Danilo Ardagna, Politecnico di Milano
  Sara Bouchenak, University of Grenoble
  Rick Buskens, Google
  Rajkumar Buyya, University of Melbourne
  Lydia Chen, IBM Zurich
  Lucy Cherkasova, HP Labs
  Ira Cohen, HP Labs
  Paolo Costa, Microsoft Research Cambridge
  Dilma Da Silva, Qualcomm Research
  Elisabetta Di Nitto, Politecnico di Milano
  Renato Figuerado, University of Florida
  Salima Hassas, University of Lyon
  Yuxiong He, Microsoft Research
  Tom Holvoet, Katholieke Universiteit Leuven
  Longbo Huang, Tsinghua University
  Alex Iosup, Delft University of Technology
  Vana Kalogeraki, Athens University of Economics and Business
  Evangelia Kalyvianaki, City University London
  Yasuhiko Kanemasa, Fujitsu Labs
  Jeff Kephart, IBM Thomas J. Watson Research Center
  Fabio Kon, University of Sao Paulo
  Samuel Kounev, Karlsruhe Institute of Technology
  Diwakar Krishnamurthy, University of Calgary
  Cristian Lumezanu, NEC Labs
  Xiaosong Ma, Qatar Research Foundation
  Julie McCann, Imperial College London
  Daniel Menasche, Federal University of Rio de Janeiro
  Arif Merchant, Google
  Frank Mueller, North Carolina State University
  Klara Nahrstedt, University of Illinois at Urbana-Champaign
  Alma Riska, EMC
  Kai Sachs, SAP AG
  Hartmut Schmeck, Karlsruhe Institute of Technology
  Onn Shehory, IBM Research Haifa
  Kai Shen, University of Rochester
  Prashant Shenoy, University of Massachusetts Amherst
  Yasushi Shinjo, University of Tsukuba
  Evgenia Smirni, College of William and Mary
  Christopher Stewart, The Ohio State University
  Jordi Torres, Barcelona Supercomputing Center and UPC Barcelona Tech
  Mustafa Uysal, VMware
  Timothy Wood, George Washington University
  Ding Yuan, Toronto University
  Ming Zhao, Florida International University
  Xiaobo Zhou, University of Colorado?Colorado Springs
  Tutorial Chair
  Diwakar Krishnamurthy, University of Calgary

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