Important Dates

January 30, 2017

Workshop/Special Session Proposal Due

March 24, 2017 (Firm)

Paper Submission Deadline

May 10, 2017

Authors Notification

June 10, 2017

Camera-ready & Registration



Scalability is one of the key evaluation criteria of computing systems. In particular, scalability is essential in HPC systems. High scalability represents a kind of elasticity, which can guarantee high throughput, small delay and high performance. Additionally, with the need to process data deluge and to solve difficult or large scale problems, new architectures like computing accelerator, e.g., GPU and MIC have appeared. Improvements to these architectures are still needed in order to use them in large scale heterogeneous systems. Similarly, new parallel algorithms, softwares, and tools are needed to improve scalability.

The 17th IEEE International Conference on Scalable Computing and Communications (ScalCom 2017) provides a high-profile, leading-edge forum for researchers, engineers, and practitioners to present state-of-art advances and innovations in theoretical foundations, systems, algorithms, infrastructure, tools, testbeds, and applications for scalable computing and communications, as well as to identify emerging research topics and define the future. ScalCom 2017 is the next edition of the successful series, previously held as ScalCom 2016 Toulouse France, ScalCom 2015 Beijing China, ScalCom 2014 Bali Indonesia, ScalCom 2013 Chengdu China, ScalCom 2012 Changzhou China, ScalCom 2011 Paphos Cyprus, ScalCom 2010 Bradford UK, ScalCom 2009 Dalian China.


  • 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
    • Hadoop
    • convergence of IoT, cloud and big data

Co-located Six Conferences

  • The 3rd 2017 IEEE Smart World Congress (SmartWorld 2017)
  • The 14th IEEE Int'l Conf. on Ubiquitous Intelligence and Computing (UIC 2017)
  • The 14th IEEE Int'l Conf. on Advanced and Trusted Computing (ATC 2017)
  • The 3rd IEEE Int'l Conf. on Cloud and Big Data Computing (CBDCom 2017)
  • The 3rd IEEE Int'l Conf. on Internet of People (IoP 2017)
  • The 2017 IEEE Int'l Conf. on Smart City Innovations (SCI 2017)



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