PDGC-2022

Call for Papers

Authors are invited to electronically submit their paper using IEEE format written in English, of up to 6 pages (full paper) and 4 pages (short Paper), full paper presenting the results of original research or innovative and short paper may have partially completed with theoretically established idea to practical applications relevant to the conference. All submissions are to be done electronically and PDGC-2022 has applied for the submitted papers' inclusion in the IEEE Xplore. At least one of the authors of each accepted paper must register for the conference and present their paper in person/ in virtual mode at the conference. All types of submission can be made through the EDAS. Interested authors can choose any of the conference tracks or special sessions and have a click on the highlighted title to submit the paper, this should be after login to the www.edas.info portal. In addition they can directly visit to the EDAS submission link: https://edas.info/N29829

Please find below the different conference tracks and special sessions presently open for the conference submissions:

Main Conference Tracks:

THE TOPICS OF INTEREST INCLUDE, BUT ARE NOT LIMITED TO THE FOLLOWING TRACKS:

Track-1: Parallel and Distributed Algorithms: Design and analysis of distributed algorithms, data-intensive and compute intensive parallel algorithms, advances in parallel algorithms, performance studies, scalability of algorithms and data structures for parallel and distributed systems, communication and synchronization protocols, network algorithms, Algorithms and systems for Internet of Things, multiprocessor and multi-core architectures and algorithms, Parallel Algorithms, Algorithms Exploiting Clusters and General-Purpose Distributed and Parallel Systems

Track-2: Dependable, Cluster and Grid Computing: Computer-supported cooperative work, Fault-tolerance, Self-stabilization, Performance Prediction and Analysis, Simulation, Knowledge-based Program Development, Collaboration Technologies, Communication and Networking Systems, Data Analysis and Management on Grids, Data Grids, Grid Computing Infrastructures, Middleware and Tools, Grid Computing Services, Grid Infrastructures for Data Analysis, Grid Standards as related to Applications, Hybrid & Embedded Parallel Systems, Memory Organization, Support for Parallel I/O, Multi/Many Core Systems, GPU and FPGA based Parallel Systems, Heterogeneous Distributed Systems, Distributed Shared Memory Systems, Distributed Object-oriented Systems

Track-3: Applications of parallel and distributed computing: Big data applications, parallel crowd sourcing, large-scale social network analysis, management of big data, cloud and grid computing, high performance supercomputing, the use of supercomputers to solve complex modelling problems in a spectrum of disciplines, scientific and biomedical applications, mobile computing, Pervasive computing, P2P computing, ubiquitous computing, Green computing, Affective computing, Cloud, edge and fog computing and, Machine learning and Deep learning applications in healthcare etc., AI in Distributed Systems, Real Time Distributed Systems

Track-4: Resource management and Fault Tolerance in parallel and distributed systems: Resource scheduling, load balancing, discovery and allocation, and optimization, fault-tolerance, reliability and availability of distributed systems, performance analysis of parallel applications, performance modelling and evaluation

Track-5: Parallel and distributed architectures: Architectures for instruction-level and thread-level parallelism, architectural characteristics, design, analysis, implementation, multi-core processors, heterogeneous many-core systems, novel big data architectures, graphics processors architecture, impact of technology on architecture, architecture for emerging technologies e.g., novel memory technologies, quantum computing, network and interconnect architectures, parallel I/O and storage systems, architecture of the memory hierarchy, power-efficient and green computing architectures, P2P architectures; dependable architectures

Track-6: Parallel and distributed software: Parallel and multi-core programming languages and compilers, runtime systems, distributed operating systems and middleware, system software for parallel computer systems including programming languages and compilation techniques, Internet computing and web services, resource management including green computing, middleware for grids, clouds, and data centres, libraries, parallel programming paradigms, and programming environments and tools, Configuration, Policy, Management Issues

Track-7: Security in distributed computing: Security in computational and data grids, security in distributed environments, cryptographic protocols, protocols for communication networks and peer-to-peer systems, biometric systems, cyber security, trust, security and privacy

Track-8: Distributed and parallel databases: Big data storage and processing, query processing and optimization, social networks, storage, indexing, and physical database design, graph data management, data mining and knowledge discovery

Track-9: Networks, Interconnection Networks and Network based Computing, Multimedia & Service Networking: Scalable Networks, Reconfigurable Networks, Routing Issues, General-Purpose Network Performance for Distributed Applications, Network Protocols, Internet Technology, Optical Interconnections and Computing, Novel Network Topologies, Web Computing, Cluster Computing, Cloud Computing, Computational Grids, Data Grids, Semantic Grid, Mobile Agents, Distributed Web Services, Multimedia Communications and Services, Real-time Networking, Performance Modelling, Networked Real-time Embedded Systems, Services on Demand, Network Management, Multimedia Architectures and Protocols, Multimedia Applications, Quality of Service Support, Operating System and Networking Support, Internet Tools and Applications, Audio/Video Delivery over the Internet.

Track-10: Cloud and Big Data Computing: Actor Model, Cluster Manager, Redundant Array of Inexpensive Servers, Utility computing, Virtual Private Cloud, Cloud Computing Techniques for Big Data, Algorithms and Programming Techniques for Big Data Processing, Model and Languages for Big Data, Persistence and Preservation Algorithms and Systems for Big Data search, Distributed and Peer to Peer search, Large Scale Social Media and Recommendation Systems, Big Data Tool Kits, Anomaly Detection in Very Large Scale Systems, Parallel and Distributed Data Mining Algorithms, Web-based Computing and Service-Oriented Architecture, Wireless and Mobile Computing, Algorithms Design and Analysis, Artificial Intelligence, Computer Vision, Neural Networks and Fuzzy Logic, Biologically Inspired Computing, Systems Biology, Cyber-Physical Systems, Wireless Sensor Networks, Remote Sensing, Social Networks (Social Media), Human Computer Interaction, Graph Embedding, Computer Graphics and Virtual Reality, Nanotechnology in High Performance Computing.

Track-11: Machine Learning, Deep Learning and Other distributed computing related areas

These tracks belong to following IEEE Societies: