ScalCom 2018 - 18th IEEE International Conference on Scalable Computing and Communications (ScalCom 2018)

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 18th IEEE International Conference on Scalable Computing and Communications (ScalCom 2018) provides a high-profile, leading-edge forum for researchers, engineers, and practitioners to present state-of-the-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 2018 is the next edition of the successful series, previously held as ScalCom 2017 San Francisco, 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, and ScalCom 2009 Dalian China.
Topics
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
Tools for Big Data
statistical data mining
extreme big data
Hadoop
convergence of IoT, cloud and big data
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 of IoT
distributed applications with emphasis on scalability, distributed applications deployment
pervasive computing, distributed robotics
convergence of communication and computing