Smart cities have become the key enabler for next-generation intelligent systems with a mission to improve security, reliability, and efficiency. The increased profusion of advanced sensing technologies in recent years has disclosed a significant proliferation of compute-intensive applications in smart cities. The integral part of smart city applications includes various features such as environmental management, natural resource management, underwater exploration, social sustainability, regional competitiveness, cybersecurity, and improved quality of life. Such systems continuously produce a huge amount of data with a demand for advanced computing paradigms for data collection and processing. For instance, to predict the rate of urbanization in modern smart cities, city planning strategies based on population are derived with the help of salient data modeling and analytics approaches, which form the basis for intelligent decision making. Usually, sensor data from smart city applications are continuously monitored and analyzed for real-time automation for intelligent decision-making processes. Due to the reason that smart city applications are resource-constrained and data-intensive in nature the process of design and development of appropriate computing architectures can enhance the sustainable growth of emerging smart cities.
In the current scenario, the smart city offers the most convenient and personalized services to the end-users. However, in future, there can be various security and privacy challenges. It is observed that smart, sustainable, secure, and energy-efficient computing architectures have become the basic requirement for the present-day smart city environment. Without these requirements, growth in smart cities is highly uncertain and diminished. Also, data computing infrastructure plays a prominent role in future smart city applications. An effective data infrastructure, with appropriate parallel or distributed computing architecture in a centralized or decentralized computing environment can enhance present-day smart city services to the next level of modern intelligent systems. These technological advancements can enhance various smart city services such as smart transportation, smart parking, smart buildings, smart lighting systems, smart healthcare, and many more. The enrichment of the computing platform not only add benefit to a particular application, but it can develop the smart city vision as a whole. Accordingly, it is well-known fact that research work relating to smart city computing paradigms is fast growing with increasing requirements for technological formulations and high-performance computing models.
Sustainable smart city computing paradigms are highly inter-disciplinary which includes various computing requirements. In this context, this special issue provides a platform for the researches and academicians to present and enhance the latest research solutions. We invite novel and innovative interdisciplinary system architectures for the smart city computing environment. Efficient system designs, architectures, standards, protocols, and models from a computing perspective are invited for the special issue. The topics of interest for the special issue include, but not limited to the following:
Data-driven Internet of Things (IoT) based blockchain architecture for emerging smart city requirements and future directions
Synergy cloud computing, IoT, blockchain, fog computing, edge computing and grid computing dependent architecture for future generation computer intelligent smart cities
Frontiers in distributed, parallel and cluster computing for improved quality of services in sustainable smart cities
A multi-dimensional fog computing architectures and standards for various smart city applications
A computing perspective on smart cities with advanced parallel and distributed architectures
Sustainable development in smart cities with progression in parallel and distributed computing architectures
Design and development of new innovative smart cities with various parallel and distributed system architectures
Strategies for incorporation and co-existence of technologies and networks for effective resource management in smart cities
Smart, connected and product based IoT architectures that transforms IoT innovations in to real-world smart city solutions
Risk management cybersecurity architectures for smart cities with improved security and privacy measures
Advanced intelligent computing architectures (artificial intelligence, machine learning, federated learning, etc.) to tackle emerging issues in remote health monitoring across smart cities
Vision, goals and future directions of traditional and emerging computing paradigms for sustainable growth in smart cities
Role of computing paradigms in e-governance for smart-cities (data analytics and decision making with advanced computing architectures).
Standard computing architectures for smart facilities engineering and service management in smart cities
Recent technological architectures for energy-aware smart construction management and operation maintenance in smart buildings
JSA has adopted the Virtual Special Issue model to speed up the publication process, where Special Issue papers are published in regular issues, but marked as SI papers. Acceptance decisions are made on a rolling basis. Therefore, authors are encouraged to submit papers early, and need not wait until the submission deadline.
Submission Deadline: Jul 29, 2020
All decisions finalized: Feb 20, 2021
Dr. Neeraj Kumar
Department of Computer Science and Engineering,
Thapar Institute of Engineering, Thapar University, India
Dr. Seungmin (Charlie) Rho
Department of Software
Sejong University, Gwangjin-gu, Seoul, Korea
Dr Mamoun Alazab,
College of Engineering, IT and Environment
Charles Darwin University, Australia