Digital Twin is a virtual representation of any physical system and process. It turns out that for any complex and competent Io T device at the ground, there is a corresponding digital/virtual/software device replica. Such a logical representation brings forth a number of business and technical advantages including the fulfilling the Industry 4.0 vision. With the exponential growth of Io T devices in our professional, social and personal environments, there is a need for ensuring high performance for, remote management, policy-based governance and utmost security of Io T devices. Further on, Io T data analytics is being made mandatory for timely extraction of actionable insights, which bolster Io T devices to be adaptive in their operations, outputs and offerings. Thus, the continuous explosion of connected devices, the wider adoption of software-defined cloud infrastructures, the maturity of artificial intelligence (AI) toolkits, the realization of data lakes in cloud environments, the unveiling of big, fast and streaming data analytics platforms, etc., together clearly tell that the concept of digital twins is all set to flourish across industry verticals. Digital twins getting hosted in enterprise and cloud servers continuously take operational inputs from various sensors attached with the physical system. Such an empowerment comes handy for visualizing and realizing a host of sophisticated and cognitive Io T devices and applications. Digital Twin technology is referred to as game changing. The concept represents the convergence of the physical and the virtual worlds where each industrial process, asset, service or product gets a digital replica and dynamic digital blueprint and representation, from the design phase to the deployment phase. It helps track a physical entity’s current configuration, state, location, operational characteristics and other attributes. It is very cost effective, accessible via Io Ts, and helps in lowering costs, reducing process time and improving product quality by providing data management, data tracking and other benefits. They allow for safe and cost-effective testing and development. In the future, digital twins shall constitute the fundamental pillars of intelligent Io T ecosystems as well as Industry 4.0 for training, monitoring, maintenance, troubleshooting, optimization and other tasks vital to keeping physical entities in healthy working conditions. Digital Twins are gaining momentum as they offer real-time transparency in product development life cycles to help manufacture higher quality products and improve customer satisfaction. They are being applied in many domains including manufacturing, vehicular technology, smart city, and the Built Environment. The book is aimed to present the overall concept of the digital twin technology, challenges in its adoptability, and various industry use cases. The book will give the in-depth awareness of digital twin architecture and frameworks. The book will address research-related challenges and solution approaches related to the Digital Twin concepts.
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