Applications for Distributed Networking Systems

Dear Colleagues,

Distributed and cloud-enabled technologies are increasingly becoming mainstream solutions. In these technologies, several factors have a disrupting effect amongst all technologies. Contemporary distributed and cloud applications, by their very nature, are laid out across multiple end nodes because of their big data requirements, accurate and resource-demanding computations, or to facilitate mobility of end-users.

Applications involving control and management systems are nowadays traversing to decentralized control solutions that either incorporate ML decision logic or rely on cloud-based frameworks, M2M real-time metering, and smart services. For the implementation of such distributed systems, designers must address several issues, including accuracy, communication, energy efficiency, memory usage, locality, distributed node failures, concurrency, authentication, security, and fault tolerance.

New distributed application characteristics include user-generated capabilities where the users are not passive recipients but capable of managing their resources and processes as well as setting up their collaboration networks through IT. Furthermore, new distributed and IoT system architectures are offering smart services and rely on big data collection as well as supervised and unsupervised deep learning networks and algorithms for targeted operations.  

In the scope of this Special Issue are the emergence of new distributed models, algorithms, distributed computation services, and applications for integrating new distributed infrastructure systems, algorithms, and services, as well as transformations of traditional Industrial and mainstream centralized systems to distributed ones, designed to leverage economics of scale through batch processing. Such transformations include systems such as incident response systems, resource management systems industrial plants, healthcare systems, energy systems, mobile nets, IoT systems, communication, and broadcast media systems. 

Specific topics of interest for this Special Issue include, but are not limited to:

• Distributed systems modeling, analysis, simulation, and verification of intelligent management algorithms and low-power IoT distributed applications.
• Internet-of-Things, distributed systems security, distributed smart algorithms, and autonomous distributed decision support systems.
• Design and evaluation of distributed IoT solutions implementing machine learning, deep learning algorithms, or AI.
• Hardware and software co-design of intelligent distributed management systems solutions for the industry, agriculture, society, and smart cities.
• Distributed prototype infrastructures, applications, protocols, and algorithms.
• Detection, evaluation, and prevention of threats and attacks in public IoT and distributed systems.
• Distributed big data repositories and clustered architectures, data security, privacy, and trustworthiness of communication mechanism protocols for distributed systems.
• Distributed machine learning or deep learning-based solutions.
• Frameworks and models of smart systems and smart production systems focusing on scalable solutions and computational resources conservation.
• Cloud, fog, and edge computing and new communication protocols for intelligent management and control operations.
• Interactive low-energy control protocols and middleware IoT/distributed systems protocols and services supporting decision and management processes.
• Distributed sensory architectures and detection algorithms monitoring and supporting IoT and metering services.

Dr. Sotirios Kontogiannis
Dr. Theodosios Gkamas
Prof. Dr. Christos Pikridas
Guest Editors

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• distributed systems
• distributed applications and services
• load balancing systems and services
• real-time systems and services
• distributed computing and computation
• IoT systems and M2M communication protocols
• distributed architectures
• distributed systems security
• distributed algorithms and agents for process control
• distributed agents and metering systems
• efficient distributed data storage and data visualization
• edge computing
• mobile networks and systems