[hpc-announce] CFP: IEEE Intl Conf on Cloud Engineering

Lin Gu lingu at ust.hk
Tue May 1 09:45:13 CDT 2012


(Our apologies if you receive multiple copies of this message)

IEEE International Conference on Cloud Engineering (IC2E 2013)
March 25-27, San Francisco, California, USA
http://www.engineering.leeds.ac.uk/computing/conferences/IC2E2013/

CALL FOR PAPERS

[Important Dates]

    Abstract submission: September 7, 2012
    Paper submission:  September 14, 2012
    Acceptance notification:  December 7, 2012
    Camera-ready copies due: January 18, 2013

[Scope and Topics]

Cloud computing has emerged as a new paradigm for the use and delivery of
information technology (IT), and is revolutionizing the support of on-demand
access, economies of scale and dynamic sourcing options. In the cloud
context, a wide range of IT resources and capabilities, including servers,
networking, storage, middleware, data, security, applications, and business
processes, are available as services enabled for rapid provisioning,
flexible pricing, elastic scaling and resilience. These new forms of IT
services are challenging conventional wisdom and practices. To fully reap
the benefits of the cloud service model requires holistic treatment of key
technical and business issues, and engineering methodology that draws upon
innovations in diverse areas of computer science and business informatics.

The IEEE International Conference on Cloud Engineering (IC2E) is a new
conference that seeks to provide a high-quality and comprehensive forum,
where researchers and practitioners involved in the development of cloud
infrastructure and applications can exchange information on engineering
principles, enabling technologies, and practical experiences as related to
cloud computing. By bringing together experts that work on different levels
of the cloud stack - systems, storage, networking, platforms, databases, and
applications, IC2E will offer an end-to-end view on the challenges and
technologies in cloud computing, foster research that addresses the
interaction between different layers of the stack, and ultimately help shape
the future of cloud-transformed business and society.

Technical papers describing original, previously unpublished work, not
currently under review by another conference or journal, are solicited. The
conference is interested in both research contributions and industrial
experiences in any of the areas associated with cloud architectures,
services, development, and operations. Technical papers that take a broad
systems perspective and identify how the work fits to an overall solution
are particularly of interest. Topics include, but are not limited to, the
following:

    * Infrastructure as a service (IaaS)
    * Platform as a service (PaaS)
    * Database as a service (DaaS)
    * Software as a service (SaaS)
    * Network as a service (NaaS)
    * Business process as a service (BPaaS)
    * Security as a service
    * Storage as a service
    * Information as a service
    * Big data management and analytic
    * Virtualization technology
    * Performance, dependability and service level agreements
    * Cloud security, privacy, and compliance management
    * Workload deployment and migration
    * Energy management in cloud centers
    * Cloud programming models and tools
    * Hybrid cloud integration
    * Service lifecycle management
    * Service management automation
    * Metering, pricing, and software licensing

[Paper Submissions]

Manuscripts should be prepared in 10-point font using the IEEE 8.5" x 11"
two-column format (http://www.computer.org/portal/web/cscps/formatting). The
length of a paper must not exceed 10 pages. Authors should submit a PDF
version of their paper electronically at
https://cmt.research.microsoft.com/IC2E2013/. All papers selected for this
conference are peer-reviewed and will be published by the IEEE Computer
Society Conference Publishing Services. The best papers presented in the
conference will be selected for a journal special issue.

[Organizers]

General Chairs
    John C.S. Lui, Chinese University of Hong Kong
    Wei-Tek Tsai, Arizona State University
    Paul Watson, Newcastle University

Program Committee Chairs
    Roy Campbell, University of Illinois at Urbana-Champaign
    Hui Lei, IBM Watson Research
    Volker Markl, TU Berlin

Program Committee
    Aditya Akella, University of Wisconsin-Madison
    Jean Bacon, University of Cambridge
    Roger Barga, Microsoft Research
    Azer Bestavros, Boston University
    Sara Bouchenak, INRIA
    Elisa Burtino, Purdue University
    Jiannong Cao, Hong Kong Polytechnic University
    Michael Carey, University of California, Irvine
    Gregory Chockler, IBM Haifa Research Lab
    Yeh-Ching Chung, National Tsing Hua University
    Paolo Costa, Imperial College London
    Rodrigo Fonseca, Brown University
    Geoffrey Fox, Indiana University
    Phillip Gibbons, Intel Labs
    Garth Gibson, Carnegie Mellon University and Panasas Inc
    Xiaohui Gu, North Carolina State University
    Indranil Gupta, University of Illinois at Urbana-Champaign
    Mor Harchol-Balter, Carnegie Mellon University
    Joseph Hellerstein, Google Research
    Hai Jin, Huazhong University of Science and Technology
    Anthony Joseph, University of California, Berkeley
    Masaru Kitsuregawa, University of Tokyo
    Erwin Laure, Royal Institute of Technology
    Justin Levandoski, Microsoft Research
    Wei Li, Beihang University
    Baochun Li, University of Toronto
    Ling Liu, Georgia Institute of Technology
    Stefan Manegold, CWI Amsterdam
    Dejan Milojicic, HP Labs
    Archan Misra, Singapore Management University
    Klara Nahrstedt, University of Illinois at Urbana-Champaign
    Priya Narasimhan, Carnegie Mellon University
    Peng Ning, North Carolina State University
    Beng Chin Ooi, National University of Singapore
    Manish Parashar, Rutgers University
    Guillaume Pierre, Vrije Universiteit Amsterdam
    Donald Porter, Stony Brook University
    Berthold Reinwald, IBM Almaden Research Center
    Stefan Tai, Karlsruhe Institute of Technology
    Florian Waas, EMC
    Haixun Wang, Microsoft Research - Asia
    Jon Weissman, University of Minnesota
    Dan Williams, IBM T. J. Watson Research Center
    Jeffrey Xu Yu, Chinese University of Hong Kong

Publicity Chairs
    Badrish Chandramouli, Microsoft Research
    Lin Gu, Hong Kong University of Science & Technology
    Graham Morgan, Newcastle University

Publication Chair
    Yinong Chen, Arizona State University

Web Chair
    David Webster, University of Leeds

Steering Committee Contact
    Jie Xu, University of Leeds

---
Dr. Lin Gu
Dept. of Computer Science and Engineering
Hong Kong University of Science and Technology 



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