15th International Conference on Parallel, Distributed Computing Technologies and Applications (PDCTA 2026)

Program Committee

Accepted Papers

London, United Kingdom

Scope

15^th International Conference on Parallel, Distributed Computing Technologies and Applications (PDCTA 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Parallel, Distributed Computing. Original papers are invited on Algorithms and Applications, computer Networks, Cyber trust and security, Wireless networks and mobile computing and Bioinformatics. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.

Call for Papers

15^th Conference on Parallel, Distributed Computing Technologies and Applications (PDCTA 2026) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Parallel, Distributed Computing. Original papers are invited on Algorithms and Applications, computer Networks, Cyber trust and security, Wireless networks and mobile computing and Bioinformatics. The aim of the conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field. to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field

Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

Topics of interest include, but are not limited to, the following

Parallel Algorithms
Distributed Algorithms
Theory of Parallel & Distributed Computing
Task Based Parallelism
Heterogeneous Computing
Supercomputing & Exascale Systems
Deterministic Distributed Systems
Distributed Systems
Geo Distributed Systems
Planet Scale Databases
Cloud Computing
Multi Cloud & Hybrid Cloud Systems
Edge & Fog Computing
Serverless Computing
Cloud Native Architectures
Distributed Data & Knowledge Systems
GPU/TPU/FPGA Acceleration
AI Accelerators & HPC for AI
Cluster Scale LLM Training Systems
Distributed GPU Scheduling
CXL Memory Disaggregation
High Speed Interconnects
Parallelizing Compilers
Networking & Architectures
Network Routing & Communication Algorithms
Optical Networks
Software Defined Networking (SDN)
Network Function Virtualization (NFV)
Programmable Data Planes (P4, eBPF)
In Network Computing
RDMA Optimized Distributed Systems
6G & AI Native Networks
Intent Based Networking
Web Scale Distributed Systems
Distributed Web & Web3
Content Delivery & CDN Systems
Database Applications & Data Mining
Distributed Storage Systems
Erasure Coding & Storage Optimization
Tiered Storage & Cold Data Optimization
Consistency, Replication & Consensus

CRDTs
Distributed Transaction Processing
Stateful Stream Processing
Streaming Databases
Distributed Machine Learning
Federated Learning
Distributed Graph Processing
Security in Distributed Systems
Reliability & Fault Tolerance
Resilience & Self Healing Systems
Zero Trust Distributed Architectures
Confidential Computing
Post Quantum Secure Distributed Systems
Secure Multi Party Computation (MPC)
Secure Distributed ML
Operating Systems
Programming Languages & Compilers
Formal Methods & Verification
Software Development Tools & Environments
Observability & Distributed Tracing
Task Mapping & Job Scheduling
Resource Allocation & Management
Load Balancing & Scalability
Optimization Techniques
AI Native Scheduling & Autoscaling
Modeling & Simulation
Digital Twins for Distributed Systems
Performance Evaluation & Measurements
Queueing Models & Distributed Metrics
Energy Efficient HPC & Sustainable Computing
Distributed AI Systems
Reinforcement Learning for Distributed Systems
Autonomous Distributed Agents
LLM Based System Management
Distributed Inference & Model Serving
LLM Orchestrated Cloud Systems
Pervasive Computing
Mobile & Ubiquitous Computing
Visualization
Distributed Rendering & Graphics Systems

Paper Submission

Authors are invited to submit papers through the conference Submission System by August 28, 2026 . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from PDCTA 2026, after further revisions, will be published in the special issue of the following journal.

Important Dates

Submission Deadline

August 28, 2026

Authors Notification

October 24, 2026

Registration & camera - Ready Paper Due

October 31, 2026

Other Conferences

Past Events

Invited Talk

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Welcome to PDCTA 2026