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  • 8/11/2019 VLSI_CFP_Green and Cloud Computing

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    CALL FOR PAPERS

    Special Issue on

    Green and Cloud Computing

    Journal of Signal Processing Systems

    We live in a world with all kinds of constraints. Energy consumption is a bottleneck forinformation computing and communication. Green computing aims to reduce energy cost and

    CO2emissions as well as to effectively reuse and recycle power usage. Making the world green

    is the responsibility of designers and users of all the information and communicationtechnologies. The topics will include energy-efficient CPUs, servers, data centers, networks, and

    peripherals as well as reduced resource consumption.

    The emerging cloud computing provides a new way to address the constraints of limited energy,

    capabilities, and resources. Researchers and practitioners embrace cloud computing as a newapproach that has the potential for profound impacts on our daily life and world economy. Cloud

    computing is the second focus of this special issue. It includes cloud models, heterogeneousarchitecture, resource allocation, load balance, multimedia, and QoS, etc.

    Mobile cloud computing platform is a new area attracting more and more studies. The emergingapplications range from mobile computing, resource sharing, data storage, device power and

    traffic optimization, tasks synchronization, multimedia, fast communication, secure and reliable

    issues, etc. Hence, next generation green-aware mobile cloud computing is the third focus forthis special issue.

    Scope of Contributions

    The object of this special issue is to explore recent advances and disseminate state-of-the-art

    research on novel technologies on Green Computing and Cloud Computing. Submission of amanuscript implies: that the work described has not been published before; that it is not under

    consideration for publication anywhere else; that its publication has been approved by all co-

    authors, if any, as well as by the responsible authorities tacitly or explicitly at the institutewhere the work has been carried out. The topics of interest for the special issue include, but are

    not limited to:

    1. Green Computing

    Green computing and networking models Green power grid

    Green data centers

    Green metrics

    Dynamic allocation algorithms of computing load and networking load

    Energy-efficient design and algorithms

    Energy consumption measurement and profiling power efficiency

    Power usage prediction and power management of data centers

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    2. Cloud Computing

    Cloud computing and networking models

    Heterogeneous architecture for cloud computing

    Dynamic resource sharing algorithm for cloud computing

    Load balance for cloud computing

    Cloud-based audio/video streaming techniques Cloud-based real-time multimedia techniques

    Quality of Service (QoS) improvements techniques

    3. Next-generation Green Cloud Computing Services and Applications

    New applications for cloud-supported mobile green computing

    New services supported by green-aware mobile cloud computing techniques (e.g.,

    monitoring, transportation, smart grid, healthcare, etc.)

    Social networking services and green cloud computing

    Security and privacy issues in green cloud computing

    Manuscript Submission

    Authors must follow the Journal of Signal Processing Systems guidelines for preparation of the

    manuscript. For further details, please refer to "Instruction for Authors" in Journal of SignalProcessing Systems website at: http://www.springer.com/engineering/signals/journal/11265.Authors should submit their manuscripts online, please follow the instructions at website:

    http://www.editorialmanager.com/vlsi/. PDF is not an acceptable file format. Any submission

    that fails to follow the instructions will be rejected without review.

    Important DatesSubmission Deadline: December 1, 2012Acceptance Notification: March 1, 2013

    Final Manuscript Due: April 1, 2013

    Planned Publication: June 2013

    Guest Editors

    Meikang Qiu ([email protected]), University of Kentucky, Lexington, KY, USA

    Chi Ma ([email protected]), Google Inc., Mountain View, CA, USA

    http://www.springer.com/engineering/signals/journal/11265http://www.springer.com/engineering/signals/journal/11265http://www.editorialmanager.com/vlsi/http://www.editorialmanager.com/vlsi/http://www.springer.com/engineering/signals/journal/11265

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    http://www.springer.com/journal/11265


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