Handbook of Dynamic Data Driven Applications Systems: Volume 1

The Handbook of Dynamic Data Driven Applications Systems provides an authoritative reference for researchers and practitioners developing DDDAS technologies, covering general concepts, history, and 32 chapters by leading experts in ten application areas. DDDAS unifies computational and instrumentation aspects, extends Smart Computing to real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. It is particularly relevant for predicting severe storms, where atmospheric observing systems, computer forecast models, and cyberinfrastructure can dynamically configure themselves to optimize resource usage and information quality.

Format: Hardback
Length: 766 pages
Publication date: 12 May 2022
Publisher: Springer Nature Switzerland AG

The Handbook of Dynamic Data Driven Applications Systems is a comprehensive reference for researchers and practitioners exploring the realm of Data-Driven Applications Systems (DDDAS), pioneered by Dr. Darema and a team of esteemed co-authors. This authoritative text delves into the foundational concepts and historical background of DDDAS, offering a comprehensive understanding of this cutting-edge paradigm.

Spanning 32 chapters authored by leading experts in ten diverse application areas, the Handbook provides a deep dive into the intricacies of complex systems, whether they arise from natural, engineered, or societal domains. It empowers readers with the ability to accurately analyze, comprehend, and effectively control these systems.

One of the key contributions of DDDAS is its seamless integration of computational and instrumentation aspects within application systems. By extending the concept of Smart Computing to encompass high-end data acquisition and real-time control, DDDAS enables the management of large-scale and high-dimensional data exploitation. This holistic approach ensures efficient utilization of resources, maximizing the quality and timeliness of information provided.

The Handbook further explores the application of DDDAS in the realm of severe storm prediction. By leveraging the dynamic reconfiguration capabilities of DDDAS, atmospheric observing systems, computer forecast models, and cyberinfrastructure can adapt optimally to current or anticipated weather conditions. This real-time adaptability maximizes the efficiency of resource allocation, ensuring that all available resources are used to their fullest potential to enhance the accuracy and timeliness of weather information.

The authors of the Handbook, including Kelvin Droegemeier, Regents Professor of Meteorology at the University of Oklahoma and former Director of the White House Office of Science and Technology Policy, emphasize the significance of data science in the modern era. They recognize the immense opportunities and challenges that arise when organizations harness massive streams of data, particularly in the context of complex systems. The Handbook provides valuable insights and strategies for navigating these challenges, enabling organizations to leverage data-driven approaches to optimize their operations and achieve competitive advantages.

In conclusion, The Handbook of Dynamic Data Driven Applications Systems serves as a vital resource for researchers, practitioners, and stakeholders interested in advancing the field of DDDAS. By providing a comprehensive exploration of the paradigm, its applications, and its potential for driving innovation, this text empowers readers to unlock the full potential of data-driven systems and make meaningful contributions to various domains.

Weight: 1322g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030745677
Edition number: 2nd ed. 2022