ScalCom 2021 - The 21st IEEE International Conference on Scalable Computing and Communications
Topics/Call fo Papers
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.
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
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
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.
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
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
Other CFPs
- The 18th IEEE International Conference on Ubiquitous Intelligence and Computing
- 2021 IEEE Smart World Congress
- The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in Financial Services
- 2021 2nd International Conference on Energy, Power and Environmental System Engineering
- 2020 International Computer Symposium
Last modified: 2020-09-07 18:09:29