Conference Information
ScalCom 2017 : IEEE International Conference on Scalable Computing and Communications
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San Francisco Bay, California, USA
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Call For Papers
Nowadays, parallel architectures are ubiquitous and the arena of computing and communicating devices is quickly reaching an unprecedented scale. The trend is to keep increasing both the number of cores in a single device as well as the number of communicating devices. In this massively parallel and heterogeneous context, the need for scalable computing is everywhere and scalability is rapidly becoming a central aspect of computing.

The 17th IEEE International Conference on Scalable Computing and Communications (ScalCom 2017) will provide a forum for researchers willing to present their original work on scalable parallel and distributed computing. ScalCom 2017 will offer a unique opportunity to exchange ideas at the highest technical level related to communication networks, performance analysis and distributed applications with particular emphasis on scalability.

We invite submissions of high-quality research papers describing fully developed results or on-going foundational and applied work relating to all aspects of scalable computing and communications. The program committee will interpret it very broadly; everything from engineering principles to practical experiences on different levels of a parallel and distributed system including High Performance Computing (HPC), massively parallel systems and heterogeneous computing. We particularly encourage submissions on topics of emerging interest in the research and development communities.

The topics of the 17th IEEE International Conference on Scalable Computing and Communications include, but are not limited to:

    Cloud and Fog Computing
        X as a Service, where X includes backend, business process, database, infrastructure, network, platform, security, software, and storage
        performance, dependability, and service level agreements
        cloud programming models and tools
        fog computing algorithms and infrastructures
    Extreme Scale, Multicore , GPU accelerators and novel architectures for Scalability-Rethinking
        parallel programming models and tools
        GPU, MIC, and FPGA based parallel systems, heterogenous platforms
        Extreme scale systems and applications
        peta-scale and exa-scale workloads
        high-performance and high-throughput computing
        fault-tolerance in large scale applications
        near-data processing and data-centric approaches.
    Modelling and Simulation of Large Complex Systems
        cellular automata, genetic algorithms, neural networks, swarm Intelligence implementations
        integrated approach to optimization and simulation
        high-performance Software developed to solve sciences (e.g., biological, physical, and social), engineering, medicine, and humanities problems.
    Mobile, wireless and pervasive computing
        queueing theory; design and performance analysis of communication networks
        communication protocols; , internet of things
        distributed applications with emphasis on scalability, distributed applications deployment
        pervasive computing, distributed robotics
        convergence of communication and computing.
    Tools for Big Data
        statistical data mining
        extreme big data
        convergence of IoT, cloud and big data

Authors are encouraged to submit unpublished original research works on any of the above mentioned topics.	
Last updated by Dou Sun in 2016-12-18
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