Call for papers

Call for papers

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are invited to submit manuscripts in the form or short (5 pages) or full papers (8 pages) that present original and unpublished research as well oral communications (1-4 pages description) about previously published work, position papers, and results from R&D projects in all areas of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 2023 conference scope is focused on, but not limited to, the following topics:

Efficient Support for the Computing Continuum (combining HPC, Cloud and Edge Computing)

  • Cloud Resource Provisioning and Allocation
  • Pricing of Cloud Resources
  • Cloud Performance and Capacity Management
  • Green Cloud Computing
  • Cloud Computing Techniques for Big Data
  • Storage Architectures for Clouds and Big Data Processing
  • Distributed Data Centers
  • Fog Computing and Networking architectures
  • Edge-Cloud Interactions and Enabling Protocols
  • Edge Resource Management
  • IoT
  • Edge Data Analytics
  • Edge Caching
  • Collaborative Computing
  • Web Services and Internet Computing
  • Multi-agent Systems
  • Real-time and Reactive Distributed and Parallel Systems
  • System and Service Management

Algorithms and Models for Large Scale 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
  • Social Networks
  • Scalable Algorithms and Applications
  • Urban Networks and Applications
  • Vehicular Networks
  • Parallel, Distributed Big-Data Management
  • Smart Applications
  • Visualization of Massively Parallel Data
  • Decentralized Artificial Intelligence

Architectures and Environments for Parallel and Distributed Computing

  • Methods and Tools for Parallel and Distributed Programming Design and 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

Performance Modeling, Analysis and Evaluation for Parallel and Distributed Systems

  • Scheduling and Load Balancing
  • Resource Management
  • Execution Control Optimization
  • Performance Modeling, Management and Optimization
  • QoS in Distributed Systems
  • Energy Efficiency
  • Green and Sustainable Computing

Security and Privacy in Parallel and Distributed Systems

  • Cloud Security and Privacy
  • Virtualization-based Security
  • Operating System Level Security
  • Data Security and Privacy 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 and Isolation
  • Adversary Emulation
  • Applied Cryptography
  • Isolation Techniques
  • Applications of Machine Learning in Distributed Systems Security
  • Machine Learning Models for Malware Detection
  • Big Data Techniques for Security Reasoning
  • Data Anonymity and Privacy
  • Software Defined Networks

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

Mobile and Embedded Computing

  • Parallel Embedded Systems Programming
  • Highly Embedded Parallel Systems Support for Programming
  • FPGA and SoC/NoC Solutions
  • Embedded, Mobile and Network Environments
  • Mobile and Ubiquitous Distributed Computing
  • Mobile Data Management
  • Mobile Clouds