2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC)

Distributed Systems: Distributed Algorithms, Distributed Databases, Heterogeneous Distributed Systems, Distributed Shared Memory Systems, Virtual Memory, Distributed Object-oriented Systems, AI in Distributed Systems, Real Time Distributed Systems.

Parallel Computer Systems: Parallel Algorithms, Algorithms Exploiting Clusters and General-Purpose Distributed and Parallel Systems, Hybrid & Embedded Parallel Systems, Memory Organization, Support for Parallel I/O, Multi/Many Core Systems, GPU and FPGA based Parallel Systems.

Networks and Interconnection Networks: Scalable Networks, Reconfigurable Networks, Routing Issues, General-Purpose Network Performance for Distributed Applications, Network Protocols, Internet Technology, Optical Interconnections and Computing, Novel Network Topologies.

Network-based Computing: Web Computing, Cluster Computing, Cloud Computing, Computational Grids, Data Grids, Semantic Grid, Mobile Agents, Distributed Web Services.

Dependable Computing and Systems: Fault-tolerance, Self-stabilization, Performance Prediction and Analysis, Simulation, Knowledge-based Program Development.

Cluster and Grid Computing: 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.

Cloud Computing: Actor Model, Cluster Manager, Redundant Array of Inexpensive Servers, Utility computing, Virtual Private Cloud.

Multimedia and Service Networking: Multimedia Communications and Services, Real-time Networking, Performance Modeling, 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.

Peer-to-Peer Computing: Performance Modeling and Evaluation, Power-aware Computing, Real-Time and Multimedia Systems, Resource Management and Scheduling.

Security and Privacy: Security in Computational and Data Grids, Security in Distributed Environments, Configuration, Policy, Management Issues.

Petri Nets: Theory, Analysis, Tools and Applications.

Big Data Computing: 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

Software Tools and Environments for Parallel and Distributed Platforms:Operating Systems, Compilers, Languages, Debuggers, Monitoring Tools, Software Engineering on Parallel/Distributed Systems.

Related Fields: 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.