Introduction

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 23rd IEEE International Conference on Scalable Computing and Communications (ScalCom 2023) 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 2023 is the next edition of the successful series, previously held as ScalCom 2022 Haikou China, ScalCom 2021 Atlanta USA, ScalCom 2020 Melbourne Australia, ScalCom 2019 Leicester UK, 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.

Topics

Track1: Cloud and Fog Computing

    X as a Service
    Performance and dependability in Cloud
    Cloud programming models and tools
    Fog computing algorithms design
    Cloud infrastructure management
    Deploying large-scale analytics
    Performance and scalability for Fog
    Tools for Cloud and Fog

Track2: Scalability Rethinking

    Parallel programming models
    Heterogeneous platforms with GPU and FPGA
    Peta-scale and exa-scale workloads
    High-throughput computing
    Fault-tolerance in large scale applications
    Near-data processing and data-centric processing
    Integrated approach for scalability optimization

Track3: Modelling and Simulations

    Data analytics tools for extreme big data
    Distributed architecture models
    Parallel programming tools
    Tools for machine learning and deep learning
    Convergence of communication and computing
    Distributed database technology
    Scalable applications deployment
    Distributed robotics modelling

Track4: Blockchain and Distributed Ledger

    Distributed consensus and fault tolerance
    Performance and scalability Issues
    Blockchain in cyber physical systems
    Blockchain in edge and cloud computing
    Blockchain-based applications and services
    Distributed database technology
    Scalability issues in Blockchain