ISPDC 2022: 21st International Symposium on Parallel and Distributed Computing University of Basel Basel, Switzerland, July 11-13, 2022 |
Conference website | https://ispdc2022.dmi.unibas.ch |
Submission link | https://easychair.org/conferences/?conf=ispdc2022 |
Abstract registration deadline | April 16, 2022 |
Submission deadline | April 23, 2022 |
Parallel and Distributed Computing (PDC) is an important research area today and has a strong contribution to the advancements in science, engineering, and society at large. Its evolution is characterized by the continuous development of new approaches in the modeling, design, analysis, evaluation, and programming of parallel and distributed computing applications and systems.
The goal of the 21st International Symposium on Parallel and Distributed Computing (ISPDC 2022) is to bring together researchers, engineers, and practitioners for the purpose of sharing their experiences in the development of new algorithms, applications, architectures for parallel and distributed computing, as well as modeling and simulation, visualization, and data analytics.
We cordially invite you to submit your contributions to ISPDC 2022. The event will host invited talks, presentations of contributed papers, and industrial sessions. The Proceedings of the ISPDC 2022 conference will be published in IEEE Xplore digital library, indexed by Scopus (Elsevier) and Web of Science (WoS).
Authors are invited to submit manuscripts that present original and unpublished research in all areas of parallel and distributed computing and applications. The ISPDC 2022 conference scope is focused on, but not limited to, the following topics:
Architectures and Environments for Parallel/Distributed Computing and Mobile Computing
- Methods and Tools for Parallel and Distributed Programming Design/Analysis
- Multi-Cores, Clusters, and Grid Computing
- Architectures and Software for In-Memory Computing
- Systems Architectures for Graph Computing/Processing
- Innovative Systems Architectures for Big Data Processing
- Virtualization
- Network Architectures for HPC and Data Centers,
- Embedded, Mobile, and Network Environments
Parallel and Distributed Computing – Algorithms and Models for Applications
- Algorithms, Models, and Formal Verification
- Model Checking for Parallel Computing
- Algorithms for Data Science, Data Exploration and Graph Analytics,
- Parallel Programming Paradigms and APIs
- GPU Programming
- Bio-Inspired and Nature-Inspired Parallel Algorithms
- Parallel and Distributed Algorithms for Deep Learning
Performance Modeling, Management, and Optimization
- Performance Modeling, Analysis, and Evaluation for Parallel/Distributed System
- Scheduling and Load Balancing
- Resource Management
- Execution Control Optimization
- Optimization and Dependability
Parallel and Distributed Computing for Large Scale Applications
- Scalable Algorithms and Applications
- Urban Networks and Applications
- Vehicular Networks
- Parallel, Distributed, and Mobile Big-Data Management
- Smart Applications
- Ubiquitous Distributed Computing
Parallel/Distributed Embedded Computing for Critical Systems
- Collaborative Computing
- P2P Computing
- Mobile and Ubiquitous Computing
- Web Services and Internet Computing
- Distributed Software Components
- Multi-agent Systems
- Parallel Embedded Systems Programming
- Highly Embedded Parallel Systems Support for Programming
- FPGA and SoC/NoC Solutions
- Real-time Distributed and Parallel Systems
- Reactive Distributed and Parallel Systems
Cloud and Edge Computing
- Cloud Resource Provisioning and Allocation
- Pricing of Cloud Resources
- Cloud Performance and Capacity Management
- Green Cloud Computing
- Mobile Clouds
- Cloud Computing Techniques for Big Data
- Storage Architectures for Clouds and Big Data Processing
- Fog Computing and Networking architectures
- Edge-Cloud Interactions and Enabling Protocols
- System and Service Management
- Edge Resource Management
- Distributed Data Centers
- Edge Data Analytics
- Edge Caching
Security and Privacy in Distributed Systems
- Cloud Security and Privacy
- Virtualization-based Security
- Operating System-Level Security
- Security and Privacy of Data in Social Networks
- Security of Distributed IoT Systems
- Penetration Testing of Distributed Applications
- Security Tools for Distributed Applications (Programming Languages, Compilers, Analysis Tools, etc.)
- Security and Privacy of Distributed Mobile Applications
- Network Security
- Adversary Emulation
- Applied Cryptography
- End-host Security
- Applications of Machine Learning in Distributed Systems Security
- Machine Learning Models for Malware Detection
- Big Data Techniques for Security Reasoning
Blockchain and Distributed Ledgers
- Distributed Consensus
- Transaction Throughput and Scalability Issues
- Decentralized Application Development using Smart Contracts
- Asset Tracking and Financial Services
- Blockchain and Energy Systems
- Data Anonymity and Privacy
- IoT and Blockchain
- Decentralized Artificial Intelligence
Connectivity and Interactivity
- IoT
- Social Networks
- QoS in Distributed Systems
- Visualization of Massively Parallel Data
For more submission details, visit the Author area > Paper submission page.