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International Workshop on Internet-scale Clouds and Big Data (ISCBD)

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When :  2016-10-31

Where :  Pittsburgh, PA, USA.

Submission Deadline :  2016-07-30

Categories :   DBWorld: Database Management Systems ,  Cloud Computing      

 

 ISCBD 2016:International Workshop on Internet-scale Clouds and Big Data (ISCBD)

 

Oct. 31, 2016.

Pittsburgh, PA, USA.

Call For Papers

 

Internet-scale data provide the next generation computing and data analysis platforms for many emerging services, such as tele-work, e-government, and business solutions to millions of individuals distributed across the Internet and host tens of thousands of servers. Many small and medium enterprises (SME) have great potential to benefit the economic incentives when using aforementioned internet-scale cloud computing and Big Data platforms for their business applications. However, there are challenges associated with every new technology.

Interoperability, communication, performance, and security are the four major critical issues that need to be addressed when applications are deployed in internet-scale. Same is the case for the internet-scale cloud platforms that would manage large number of shared and disparate services. Various quality requirements, such as availability, security, economic cost, energy efficiency, and so forth determine the quality of service of internet-scale cloud applications and platforms.

ISCBD 2016 brings together researchers and practitioners from around the world to share their experiences on the challenges and problems faced in applications deployed in internet-scale cloud and Big Data applications. This event will define protocols and standards that need to be set in place for improving cloud and Big Data computing technologies and making cloud a new and attractive paradigm for various applications.

The topics of interest include, but are by no means limited to:

    Topics

    Original papers are solicited in subjects including, but not limited to the following:

      

    • Enabling application services across Clouds
    • Novel Big Data usage models
    • High consistency models for Big Data storage
    • Innovative cloud service models
    • Support for scalable and secure across Clouds
    • Architectural Models for multi-Cloud deployment
    • Security, privacy, and trust for Big Data computing
    • Multi-Cloud/hybrid-Cloud support for mobile Big Data applications
    • Big Data Applications making use of collaboration in Clouds, including games and social networks
    • Cloud-enabled Social Computing
    • Social and Social/Mobile Cloud models and challenges
    • Collaborative Big Data systems
    • Scientific, Business, and social computing in single and multi-Cloud environment
    • Challenges for collaboration in Clouds
     

    IMPORTANT DATES

    • Paper submission: Oct 31, 2016.
    • Notification of acceptance: Aug 30, 2016.
    • Camera-ready copy due: September 10, 2016

                                    

    User Name : gurubavi
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