These computing paradigms bring both challenges and opportunities for business process management. Guest editors: Khalil Drira, Andrzej Goscinski, Sami Yangui, Zahir Tari, Djamel Ben Slimane. Internet of Things (IoT) connects durable goods, cars and trucks, industrial and utility components, and sensors to Internet with data analytics capabilities. In the vision of Industry 4.0, the new industrial revolution is a revolution of cyber-physical systems, of which the Internet of Things forms a key foundation that has a great impact on the way people live and the way businesses are organized. This is executed with individual data-driven treatment schemes and high performance optimised devices customised to act as individual requirements. New intelligent models, architectures, approaches, algorithms and solutions are needed to cope with the ever-increasing complexity of problems in energy systems, such as sensing intelligence, communications intelligence, machine learning, deep learning, and data mining. The IoMT are designed mainly to sense the individual health status data where it can be sent to the clinical for interpretation issue. Reliable and secured point-to-point and multicast messaging services are supported in a GCS used in mobile and cloud networks. As the global market for infrastructure, platforms and software services is continuously evolving supporting new application domains, the need to understand and deal with the new implications and multitude of new challenges is quickly growing. At present, it is estimated that the transaction volume in cryptocurrencies exceeds 100 million USD per day. Internet of Things (IoT) is an emerging paradigm that seamlessly integrates a large number of smart objects with the Internet. IoT system could leverage wireless sensor network to collect and process data, and could employ cloud technologies, peer to peer systems to provide computation capability. Gateways can provide scalable access to many things: a highly-tuned parallel application running on a supercomputer; a remote instrument like a telescope or electron microscope; a curated data collection; tools to create workflows and visualizations linking these different resources; and collaborative venues to discuss results, share curricula and presentations and more. Cultural Heritage (CH) represents a worldwide resource of inestimable value, attracting millions of visitors every year to monuments, museums, exhibitions and historical centres. However, effectively tapping into growing amounts of disparate contextual information streams remains a challenge, especially for large-scale application and service providers that need timely and relevant information to support adequate decision-making. We can also use one device that can be a mobile phone, instant messenger, video conferencing center, GPS, database, investment analytics, weather forecaster, camera and data processing center. How these technologies can assist with right patient care at the right time and in the right place? Additionally, the ecosystem of information and communications systems is becoming more complex. A comprehensive listing of over 250 oncology and related journals. With the aid of cognitive algorithms, a pre-learned intelligent system can be developed for improving the diagnosis process and automate it. It is expected that future CPS will far exceed today’s systems on a variety of characteristics, for example, capability, adaptability, resiliency, safety, security, and usability. With the development of smart sensorial media, things, and cloud technologies, “Smart healthcare” is getting remarkable consideration from the academia, the governments, the industry, and from the healthcare community. It also invites novel deep learning based solutions for real-time data processing, learning from multi-modal big data, distributed learning paradigms with embedded processing, and efficient inference. New smart CPSs will drive innovation and competition in sectors such as food and agriculture, energy, different modes of transportation including air and automobiles, building design and automation, healthcare and medical implants, and advanced manufacturing. The aim of NSS is to provide a leading edge forum to foster interaction between researchers and developers with the network and system security communities, and to give attendees an opportunity to interact with experts in academia, industry, and governments. Internet of Vehicles (IoVs) is expected to analyze and utilize the various information, especially multimedia inside and outside vehicles itself through wireless communication techniques. However, it brings with it opportunities but also risks and problems that must be addressed in order not to compromise an effective evolution. Enabling autonomous interaction between social networks and Internet of Things is another emerging interdisciplinary area and is leveraging modern promising paradigm of Social Internet of Things (SIoT). Today, this is especially critical and key considering that HPC systems continue to scale up in terms of nodes and cores, in the path toward exascale. Cloud computing has emerged as an important computing paradigm, enabling ubiquitous convenient on-demand access through Internet to shared pool of configurable computing resources. There is much that is common in gateway development regardless of the domain area. Group membership is dynamic, as group membership changes over time, and frequent notification messages are exchanged among group members consistently. Although the capacity and computer power of small and medium devices (as smartphones or tablets) are increasing swiftly, their computing capacities are usually underexploited. Read this first: * The Ranking Web is not a ranking of the websites of Universities, it is a Ranking of Universities. Meanwhile, cloud computing also is becoming a major enabler of various industrial innovations. The main features of a smart city include a high degree of information technology integration and a comprehensive application of information resources. The high-performance computing techniques have been widely agreed as a promising paradigm to facilitate big data processing, but with tremendous research challenges in recent years, such as the scalability of computing performance for high velocity, high variety, and high volume big data, Deep learning with massive-scale datasets, MapReduce on multi-core, GPU, and hybrid distributed environments, and unstructured data processing with high-performance computing. However, the convergence of IoT and cloud can provide new opportunities for both technologies. In this special issue, we intend to strengthen the link between the sentiment analysis field and the mental health research area. Similarly, with social media outreach, the prevailing user behaviour or engagement has become crucial for the impact analysis of OSN. We can also provide real time security services that can destroy a vast variety of Trojans and viruses, block all security breaches, restore things back to normal and keep the owners alert and safe in real time. Further, safeguards are needed to build trust in the data, which is instrumental for making critical decisions for the development of Energy Internet. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of … The concept of ephemeral computing is still under discussion and no standard definition has reach a consensus among the research community. The fast pace of Information and Communication Technologies (ICTs) is inextricably linked with the urban development. Gateways enable not only researchers with a common scientific goal but also students and members of the broader community by providing access to top-tier resources. are encapsulated in the word ‘smart city’ that is now on board. Resource management and task scheduling play an essential role, in cases where one is concerned with optimized use of resources. In addition, data sources are heterogeneous (various sensors, users with different profiles, etc.) Many recently proposed cryptocurrencies are completely decentralized in the sense that it is not created by any central authority and could, in principle, be immune to any central bank’s interferences. One of the vital issues in data-driven applications is to find out efficient methods of optimizations in both executions and outputs sides. Cybermatics is a holistic field to systematically study cyber entities in cyberspace, their properties and functions as well as their relations and conjugations with entities in physical, social and mental spaces, which is concerned more with the basic attributes, properties, models, representations, interactions, and evolutions of cyber entities, and all their possible relations conjugated with real things. Using data wisely is considered one of the potential solutions to the potential risks or restrictions in the field. These are some of the questions in the long list of challenges that are needed to be addressed in future CPS. To effectively and efficiently process such large and diverse dataset collections is one of the grand research challenges. In light of the rise in interest around FinTech, both the research community and industry must intensify the attention given to overcoming the trust, security and privacy challenges germane to FinTech to unleash its full potential. The mobile cloud is also a very useful platform for IoT with the advent of cloud computing. However the drawback with machine learning is that the learning period can be long. Nowadays, “Softwarization” has become an ongoing crucial transformational force in communications technology industry, despite whether its roots are on mobile networks, content delivery, home connectivity, wireless, enterprise, IoT, data centers, cloud computing, and backbone networks. Moreover, the existing technologies such as Software Defined Network (SDN), etc. As we know, the exploration of social media, categorizing the user behaviour and representing logical decisions is contrasting to other quantitative analysis methodologies. However, the existing techniques based on Map-Reduce paradigm, etc. During the implementation of IoT, it is important to meet the challenges raised during management and sharing of resources in information systems. Due to this all-in-one embedded nature of SIoT, its architectural design, implementation, and operational manageability and maintenance are raising numerous prevalent concerns that are the challenges for researchers, academicians, engineers, standardization bodies and other market players. The edge server layer is expected to be a medium that intelligently optimize the use of the computing resources. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality with a massive amount of data and numerous services. Recent years have witnessed a dramatic increase of graph applications due to advancements in information and communication technologies. The core of many IoT systems is based in a network of embedded devices (or a network of smart things or connected sensors, etc.). It will enable the humans to access, control and manage the operations and data of the objects working under different information systems of their surroundings by using the ongoing communication technologies. Conventional data fusion algorithms such as registration, association, and fusion are not effective for massive datasets. The emerging paradigm of social networking and big data provides enormous novel approaches for efficiently adopting advanced networking communications and big data analytic schemas by using the existing mechanism. The next barrier for intelligent applications is pervading urban areas to optimize resources, foster sustainable practices, fighting inequalities, creating new opportunities, and, generally, improving the welfare of their inhabitants. However, as attackers are taking advantages of social networks to achieve their malicious goals, the security issue is also a critical concern when using Social Networking Big Data in practice. At the same time, fundamental research is necessary to understand how context information about these large-scale distributed data processing infrastructures itself can offer the intelligence to self-adapt the configuration of these systems to optimize resource usage, such as the networking, data storage, and computation required to process context data. Energy crisis and carbon emission have become two global concerns. Employing blockchain mechanisms in IoT is still particularly challenging. Techniques materializing this idea include offloading and cyber-foraging. But the dream of smart global village is far beyond it. The integration of all these applications is essential to eventually make everything smart. Moreover, the valuable information from the clinical database is used for individual health prevention and protection through emergency situations. Cyber-Physical-Social Distributed Systems (CPS-DS) are aimed at monitoring and controlling the behavior of the physical world (e.g., rivers, roads, energy grids, homes, factories, shopping malls, etc.) Personality traits are generally referred to as relatively stable patterns of thoughts, feelings, and behaviours that have been associated with a wide range of important life outcomes and choices. How to share knowledge among smart things? "As a freshman at Mason, I had difficulties being on my own for the first time. However, RFID and IoTs may also bring great challenges for the security and privacy of curernt systems and processes.
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