Towards Scalable Computing Systems and Networks

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 19th IEEE International Conference on Scalable Computing and Communications (ScalCom 2019) will provide a forum for researchers to present their original work on scalable parallel and distributed computing. This conference will also 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. ScalCom 2019 is the next edition of the successful series, previously held as ScalCom 2018 Gangzhou China, 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.

• 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
• Tools for Big Data
• New data analytics tools for extreme big data
• Distributed architectures/parallel programming models for machine learning/Deep Learning
• 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
• Scalable Machine Learning
• Deploying large scale analytics
• Blockchain and Distributed Ledger Technology
• Distributed Consensus and Fault Tolerance
• Performance and Scalability Issues for Blockchain
• Blockchain in cyber physical systems
• Blockchain in edge and cloud computing
• Blockchain-based Applications and Services
• Distributed Database Technology for Blockchain

•   The 5th IEEE Smart World Congress (SmartWorld 2019)
•   The 16th IEEE Int'l Conf. on Ubiquitous Intelligence and Computing (UIC 2019)
•   The 16th IEEE Int'l Conf. on Advanced and Trusted Computing (ATC 2019)
•   The 5th IEEE Int'l Conf. on Internet of People (IoP 2019)
•   The 3rd IEEE Int'l Conf. on Smart City Innovations (SCI 2019)