Data Driven Models In Storage System Design

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Crafting Data-Driven Solutions: Core Principles for Robust, Scalable, and Sustainable Systems

Author : Peter Jones
Publisher : Walzone Press
ISBN 13 :
Total Pages : 179 pages
Book Rating : 4./5 ( download)

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Book Synopsis Crafting Data-Driven Solutions: Core Principles for Robust, Scalable, and Sustainable Systems by : Peter Jones

Download or read book Crafting Data-Driven Solutions: Core Principles for Robust, Scalable, and Sustainable Systems written by Peter Jones and published by Walzone Press. This book was released on 2024-10-14 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Crafting Data-Driven Solutions: Core Principles for Robust, Scalable, and Sustainable Systems" stands as an essential resource for anyone tasked with developing, scaling, or managing applications where data is the pivotal component. This comprehensive guide delves into the architectural frameworks of data systems, elucidating the intricate interactions that influence performance, scalability, and reliability. From foundational principles to advanced theories in batch and stream processing, each chapter systematically unveils critical insights into data models, storage solutions, encoding techniques, replication strategies, and more, supported by real-world case studies and practical examples. Whether you are an experienced software architect, a developer keen to enhance your data system design skills, or a student preparing to navigate the complexities of big data, this book provides the deep knowledge and expert guidance needed to excel in the realm of data-driven systems. Empower yourself with the expertise to design resilient architectures that not only fulfill operational requirements but also scale gracefully with evolving data demands. Make "Crafting Data-Driven Solutions" your go-to reference for building next-generation systems that are robust, efficient, and sustainable.

Data-Oriented Design

Author : Richard Fabian
Publisher : Richard Fabian
ISBN 13 : 9781916478701
Total Pages : 308 pages
Book Rating : 4.4/5 (787 download)

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Book Synopsis Data-Oriented Design by : Richard Fabian

Download or read book Data-Oriented Design written by Richard Fabian and published by Richard Fabian. This book was released on 2018-09-29 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: The projects tackled by the software development industry have grown in scale and complexity. Costs are increasing along with the number of developers. Power bills for distributed projects have reached the point where optimisations pay literal dividends. Over the last 10 years, a software development movement has gained traction, a movement founded in games development. The limited resources and complexity of the software and hardware needed to ship modern game titles demanded a different approach. Data-oriented design is inspired by high-performance computing techniques, database design, and functional programming values. It provides a practical methodology that reduces complexity while improving performance of both your development team and your product. Understand the goal, understand the data, understand the hardware, develop the solution. This book presents foundations and principles helping to build a deeper understanding of data-oriented design. It provides instruction on the thought processes involved when considering data as the primary detail of any project.

Data-Driven Model-Free Controllers

Author : Radu-Emil Precup
Publisher : CRC Press
ISBN 13 : 1000519589
Total Pages : 402 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Data-Driven Model-Free Controllers by : Radu-Emil Precup

Download or read book Data-Driven Model-Free Controllers written by Radu-Emil Precup and published by CRC Press. This book was released on 2021-12-27 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathematical definitions of one of the above mentioned algorithms. The second section of each chapter is dedicated to the examples and applications of the corresponding control algorithms in practical engineering problems. This book proposes to avoid complex mathematical equations, being generic as it includes several types of data-driven model-free controllers, such as Iterative Feedback Tuning controllers, Model-Free Controllers (intelligent PID controllers), Model-Free Adaptive Controllers, model-free sliding mode controllers, hybrid model‐free and model‐free adaptive‐Virtual Reference Feedback Tuning controllers, hybrid model-free and model-free adaptive fuzzy controllers and cooperative model-free controllers. The book includes the topic of optimal model-free controllers, as well. The optimal tuning of model-free controllers is treated in the chapters that deal with Iterative Feedback Tuning and Virtual Reference Feedback Tuning. Moreover, the extension of some model-free control algorithms to the consensus and formation-tracking problem of multi-agent dynamic systems is provided. This book can be considered as a textbook for undergraduate and postgraduate students, as well as a professional reference for industrial and academic researchers, attracting the readers from both industry and academia.

Designing Data-Intensive Applications

Author : Martin Kleppmann
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491903104
Total Pages : 658 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Designing Data-Intensive Applications by : Martin Kleppmann

Download or read book Designing Data-Intensive Applications written by Martin Kleppmann and published by "O'Reilly Media, Inc.". This book was released on 2017-03-16 with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords? In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

Handbook of Dynamic Data Driven Applications Systems

Author : Erik P. Blasch
Publisher : Springer Nature
ISBN 13 : 3030745686
Total Pages : 753 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Erik P. Blasch

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Erik P. Blasch and published by Springer Nature. This book was released on 2022-05-11 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University

Handbook of Dynamic Data Driven Applications Systems

Author : Frederica Darema
Publisher : Springer Nature
ISBN 13 : 3031279867
Total Pages : 937 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Handbook of Dynamic Data Driven Applications Systems by : Frederica Darema

Download or read book Handbook of Dynamic Data Driven Applications Systems written by Frederica Darema and published by Springer Nature. This book was released on 2023-10-16 with total page 937 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).

An Introduction to Data-Driven Control Systems

Author : Ali Khaki-Sedigh
Publisher : John Wiley & Sons
ISBN 13 : 1394196407
Total Pages : 389 pages
Book Rating : 4.3/5 (941 download)

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Book Synopsis An Introduction to Data-Driven Control Systems by : Ali Khaki-Sedigh

Download or read book An Introduction to Data-Driven Control Systems written by Ali Khaki-Sedigh and published by John Wiley & Sons. This book was released on 2023-12-19 with total page 389 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Data-Driven Control Systems An introduction to the emerging dominant paradigm in control design Model-based approaches to control systems design have long dominated the control systems design methodologies. However, most models require substantial prior or assumed information regarding the plant’s structure and internal dynamics. The data-driven paradigm in control systems design, which has proliferated rapidly in recent decades, requires only observed input-output data from plants, making it more flexible and broadly applicable. An Introduction to Data-Driven Control Systems provides a foundational overview of data-driven control systems methodologies. It presents key concepts and theories in an accessible way, without the need for the complex mathematics typically associated with technical publications in the field, and raises the important issues involved in applying these approaches. The result is a highly readable introduction to what promises to become the dominant control systems design paradigm. Readers will also find: An overview of philosophical-historical issues accompanying the emergence of data-driven control systems Design analysis of several conventional data-driven control systems design methodologies Algorithms and simulation results, with numerous examples, to facilitate the implementation of methods An Introduction to Data-Driven Control Systems is ideal for students and researchers in control theory or any other research area related to plant design and production.

Handbook of Relational Database Design

Author : Candace C. Fleming
Publisher : Addison-Wesley Professional
ISBN 13 :
Total Pages : 632 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Handbook of Relational Database Design by : Candace C. Fleming

Download or read book Handbook of Relational Database Design written by Candace C. Fleming and published by Addison-Wesley Professional. This book was released on 1989 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a practical and proven approach to designing relational databases. It contains two complementary design methodologies: logical data modeling and relational database design. The design methodologies are independent of product-specific implementations and have been applied to numerous relational product environments. 0201114348B04062001

Data-Driven Modelling and Predictive Analytics in Business and Finance

Author : Alex Khang
Publisher : CRC Press
ISBN 13 : 1040088465
Total Pages : 443 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Data-Driven Modelling and Predictive Analytics in Business and Finance by : Alex Khang

Download or read book Data-Driven Modelling and Predictive Analytics in Business and Finance written by Alex Khang and published by CRC Press. This book was released on 2024-07-24 with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data-driven and AI-aided applications are next-generation technologies that can be used to visualize and realize intelligent transactions in finance, banking, and business. These transactions will be enabled by powerful data-driven solutions, IoT technologies, AI-aided techniques, data analytics, and visualization tools. To implement these solutions, frameworks will be needed to support human control of intelligent computing and modern business systems. The power and consistency of data-driven competencies are a critical challenge, and so is developing explainable AI (XAI) to make data-driven transactions transparent. Data- Driven Modelling and Predictive Analytics in Business and Finance covers the need for intelligent business solutions and applications. Explaining how business applications use algorithms and models to bring out the desired results, the book covers: Data-driven modelling Predictive analytics Data analytics and visualization tools AI-aided applications Cybersecurity techniques Cloud computing IoT-enabled systems for developing smart financial systems This book was written for business analysts, financial analysts, scholars, researchers, academics, professionals, and students so they may be able to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices.

Warehousing and Material Handling Systems for the Digital Industry

Author : Riccardo Manzini
Publisher : Springer Nature
ISBN 13 : 3031502736
Total Pages : 569 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Warehousing and Material Handling Systems for the Digital Industry by : Riccardo Manzini

Download or read book Warehousing and Material Handling Systems for the Digital Industry written by Riccardo Manzini and published by Springer Nature. This book was released on with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications

Author : B Rajanarayan Prusty
Publisher : CRC Press
ISBN 13 : 1040016111
Total Pages : 253 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications by : B Rajanarayan Prusty

Download or read book Intelligent Data-Driven Modelling and Optimization in Power and Energy Applications written by B Rajanarayan Prusty and published by CRC Press. This book was released on 2024-05-09 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive understanding of how intelligent data-driven techniques can be used for modelling, controlling, and optimizing various power and energy applications. It aims to develop multiple data-driven models for forecasting renewable energy sources and to interpret the benefits of these techniques in line with first-principles modelling approaches. By doing so, the book aims to stimulate deep insights into computational intelligence approaches in data-driven models and to promote their potential applications in the power and energy sectors. Its key features include: an exclusive section on essential preprocessing approaches for the data-driven model a detailed overview of data-driven model applications to power system planning and operational activities specific focus on developing forecasting models for renewable generations such as solar PV and wind power, and showcasing the judicious amalgamation of allied mathematical treatments such as optimization and fractional calculus in data-driven model-based frameworks This book presents novel concepts for applying data-driven models, mainly in the power and energy sectors, and is intended for graduate students, industry professionals, research, and academic personnel.

Data-driven Analytics for Sustainable Buildings and Cities

Author : Xingxing Zhang
Publisher : Springer Nature
ISBN 13 : 9811627789
Total Pages : 450 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Data-driven Analytics for Sustainable Buildings and Cities by : Xingxing Zhang

Download or read book Data-driven Analytics for Sustainable Buildings and Cities written by Xingxing Zhang and published by Springer Nature. This book was released on 2021-09-11 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the interdisciplinary and transdisciplinary fields of energy systems, occupant behavior, thermal comfort, air quality and economic modelling across levels of building, communities and cities, through various data analytical approaches. It highlights the complex interplay of heating/cooling, ventilation and power systems in different processes, such as design, renovation and operation, for buildings, communities and cities. Methods from classical statistics, machine learning and artificial intelligence are applied into analyses for different building/urban components and systems. Knowledge from this book assists to accelerate sustainability of the society, which would contribute to a prospective improvement through data analysis in the liveability of both built and urban environment. This book targets a broad readership with specific experience and knowledge in data analysis, energy system, built environment and urban planning. As such, it appeals to researchers, graduate students, data scientists, engineers, consultants, urban scientists, investors and policymakers, with interests in energy flexibility, building/city resilience and climate neutrality.

Advanced Battery Management System for Electric Vehicles

Author : Shichun Yang
Publisher : Springer Nature
ISBN 13 : 9811934908
Total Pages : 317 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Advanced Battery Management System for Electric Vehicles by : Shichun Yang

Download or read book Advanced Battery Management System for Electric Vehicles written by Shichun Yang and published by Springer Nature. This book was released on 2022-09-19 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: The battery management system (BMS) optimizes the efficiency of batteries under allowable conditions and prevents serious failure modes. This book focuses on critical BMS techniques, such as battery modeling; estimation methods for state of charge, state of power and state of health; battery charging strategies; active and passive balancing methods; and thermal management strategies during the entire lifecycle. It also introduces functional safety and security-related design for BMS, and discusses potential future technologies, like digital twin technology.

Building Energy Flexibility and Demand Management

Author : Zhenjun Ma
Publisher : Elsevier
ISBN 13 : 0323995896
Total Pages : 288 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Building Energy Flexibility and Demand Management by : Zhenjun Ma

Download or read book Building Energy Flexibility and Demand Management written by Zhenjun Ma and published by Elsevier. This book was released on 2023-02-10 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building Energy Flexibility and Demand Management looks at the high penetration of intermittent renewable energy sources and the need for increased flexibility. Ensuring electrical power systems adapt to dynamic energy demand and supply conditions, the book supports the transition to a renewable energy future with current fluctuating power generation. By facilitating the penetration of renewable energy sources into the building sector and balancing electricity supply with demand in real-time, this book will provide fundamental concepts, theories, and methods to understand, quantify, design and optimize building energy flexibility. In addition, the book also provides case studies with emerging technologies to enhance building energy flexibility and demonstrate how demand management strategies can utilize energy flexibility for demand reduction and load shifting. It will be useful for all those researchers and engineers working in flexible energy systems and advanced demand side management strategies. - Focuses on how renewable energy and storage technologies can be appropriately designed and optimized to increase building energy flexibility - Discusses how building energy flexibility can contribute to reduced operating costs and grid optimization - Details how to effectively implement building energy flexibility for demand response, peak demand reduction and peak load shifting

Intelligent Systems Design and Applications

Author : Ajith Abraham
Publisher : Springer Nature
ISBN 13 : 3031355016
Total Pages : 602 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Intelligent Systems Design and Applications by : Ajith Abraham

Download or read book Intelligent Systems Design and Applications written by Ajith Abraham and published by Springer Nature. This book was released on 2023-07-04 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.

Handbook On Computer Learning And Intelligence (In 2 Volumes)

Author : Plamen Parvanov Angelov
Publisher : World Scientific
ISBN 13 : 9811247331
Total Pages : 1057 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Handbook On Computer Learning And Intelligence (In 2 Volumes) by : Plamen Parvanov Angelov

Download or read book Handbook On Computer Learning And Intelligence (In 2 Volumes) written by Plamen Parvanov Angelov and published by World Scientific. This book was released on 2022-06-29 with total page 1057 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook on Computer Learning and Intelligence is a second edition which aims to be a one-stop-shop for the various aspects of the broad research area of computer learning and intelligence. This field of research evolved so much in the last five years that it necessitates this new edition of the earlier Handbook on Computational Intelligence.This two-volume handbook is divided into five parts. Volume 1 covers Explainable AI and Supervised Learning. Volume 2 covers three parts: Deep Learning, Intelligent Control, and Evolutionary Computation. The chapters detail the theory, methodology and applications of computer learning and intelligence, and are authored by some of the leading experts in the respective areas. The fifteen core chapters of the previous edition have been written and significantly refreshed by the same authors. Parts of the handbook have evolved to keep pace with the latest developments in computational intelligence in the areas that span across Machine Learning and Artificial Intelligence. The Handbook remains dedicated to applications and engineering-orientated aspects of these areas over abstract theories.Related Link(s)

Advances in Computational Intelligence

Author : Obdulia Pichardo Lagunas
Publisher : Springer Nature
ISBN 13 : 3031194969
Total Pages : 402 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Advances in Computational Intelligence by : Obdulia Pichardo Lagunas

Download or read book Advances in Computational Intelligence written by Obdulia Pichardo Lagunas and published by Springer Nature. This book was released on 2022-10-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNAI 13612 and 13613 constitutes the proceedings of the 21st Mexican International Conference on Artificial Intelligence, MICAI 2022, held in Monterrey, Mexico, in October 2022. The total of 63 papers presented in these two volumes was carefully reviewed and selected from 137 submissions. The first volume, Advances in Computational Intelligence, contains 34 papers structured into three sections: Machine and Deep Learning Image Processing and Pattern Recognition Evolutionary and Metaheuristic Algorithms The second volume contains 29 papers structured into two sections: Natural Language Processing Intelligent Applications and Robotics