Call for papers

Call for papers

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 IEEE 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 contribution to IEEE ISPDC 2022. See deadlines and important dates column on the right side of this website. The event program will host presentations of invited talks, contributed papers, oral communications, and industrial sessions. Accepted papers will be part of the IEEE ISPDC 2022 conference proceedings (Conference Record #55340) which will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements. Accepted research papers (full and short) must be presented at the conference by one of the authors.

Authors are invited to submit manuscripts in the form or short (5 pages) or full papers (8 pages) that present original and unpublished research as well oral communications (1-4 pages description) about previously published work, position papers, and results from R&D projects in all areas of parallel and distributed computing and applications. The IEEE 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 > Submissions page.