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1

D, Meier J., ed. Improving .NET application performance and scalability. Microsoft Corp., 2004.

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2

Byron, Braswell, and International Business Machines Corporation. International Technical Support Organization., eds. Designing and coding applications for performance and scalability in Websphere application server. IBM, International Technical Support Organization, 2008.

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Byron, Braswell, and International Business Machines Corporation. International Technical Support Organization., eds. Designing and coding applications for performance and scalability in Websphere application server. IBM, International Technical Support Organization, 2008.

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4

A, Steward Robert, ed. The data access handbook: Achieving optimal database application performance and scalability. Prentice Hall, 2009.

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5

Steward, Robert A. (Robert Allan), ed. The data access handbook: Achieving optimal database application performance and scalability. Prentice Hall, 2009.

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6

Improving .NET application performance and scalability. Microsoft Press, 2004.

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7

Websphere Application Server V6 Scalability And Performance Handbook. Ibm, 2005.

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8

Cavanan, Peter. Complete Amazon Web Services Guidebook: AWS Application and Scalability. Independently Published, 2019.

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9

Data Access Handbook: Achieving Optimal Database Application Performance and Scalability. Pearson Education, Limited, 2009.

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10

Goodson, John, and Robert Steward. Data Access Handbook: Achieving Optimal Database Application Performance and Scalability. Pearson Education Canada, 2009.

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11

Kokosa, Konrad. Pro .NET Memory Management: For Better Code, Performance, and Scalability. Apress, 2018.

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12

Web scalability for startup engineers: Tips & techniques for scaling your Web application. McGraw-Hill Education, 2015.

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13

WebSphere Scalability : WLM and Clustering Using WebSphere Application Server Advanced Edition (IBM Redbook). Ibm, 2000.

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14

Acetozi, Jorge. Pro Java Clustering and Scalability: Building Real-Time Apps with Spring, Cassandra, Redis, WebSocket and RabbitMQ. Apress, 2017.

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15

Bass, Daniel. Advanced Serverless Architectures with Microsoft Azure: Design Complex Serverless Systems Quickly with the Scalability and Benefits of Azure. Packt Publishing, Limited, 2019.

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16

Young, Marcus. Implementing Cloud Design Patterns for AWS: Create Highly Efficient Design Patterns for Scalability, Redundancy, and High Availability in the AWS Cloud. Packt Publishing, Limited, 2015.

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17

Atchison, Lee. Architecting for Scale: How to Maintain High Availability and Manage Risk in the Cloud. O'Reilly Media, 2020.

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18

Exascale Scientific Applications: Scalability and Performance Portability. Taylor & Francis Group, 2017.

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19

Williams, Timothy J., Tjerk P. Straatsma, and Katerina B. Antypas. Exascale Scientific Applications: Scalability and Performance Portability. Taylor & Francis Group, 2017.

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20

Williams, Timothy J., Tjerk P. Straatsma, and Katerina B. Antypas. Exascale Scientific Applications: Scalability and Performance Portability. Taylor & Francis Group, 2017.

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21

Williams, Timothy J., Tjerk P. Straatsma, and Katerina B. Antypas. Exascale Scientific Applications: Scalability and Performance Portability. Taylor & Francis Group, 2017.

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22

Williams, Timothy J., Tjerk P. Straatsma, and Katerina B. Antypas. Exascale Scientific Applications: Scalability and Performance Portability. Taylor & Francis Group, 2017.

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23

Jabbar Meerja, Akhil, Mamun Bin Ibne Reaz, and Ana Maria Madureira, eds. Emerging Technologies and Applications for a Smart and Sustainable World. BENTHAM SCIENCE PUBLISHERS, 2022. http://dx.doi.org/10.2174/97898150362441220101.

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his reference distills information about emerging technologies and applications for smart city design and sustainable urban planning. Chapters present technology use-cases that have radical novelty and high scalability with a prominent impact on community living standards. These technologies prepare urban and rural dwellings for the transformation to the smart world. Applications and techniques highlighted in the book use a combination of artificial intelligence and IoT technologies in areas like transportation, energy, healthcare, education, governance, and manufacturing, to name a few. The book serves as a learning resource for smart city design and sustainable infrastructure planning. Scholars and professionals who are interested in understanding ways for transforming communities into smart communities can also benefit from the cases presented in the book.
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24

Godwin Premi, Dr M. S., Dr D. Susitra, Dr Suja Cherukullapurath Mana, Ms R. Velvizhi, and Ms Manju C. Nair. QUANTUM COMPUTING. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2025. https://doi.org/10.47716/978-93-92090-62-2.

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Quantum Computing represents a paradigm shift in computation, leveraging the principles of quantum mechanics to solve problems intractable for classical computers. This book provides a comprehensive exploration of quantum computing, encompassing its foundational concepts, architecture, algorithms, programming techniques, and real-world applications. Beginning with an overview and historical evolution, it delves into the fundamental differences between classical and quantum computing, highlighting key quantum mechanical phenomena such as superposition, entanglement, and interference. The book further examines quantum states, qubits, and gates, elucidating their roles in quantum computation. The architecture of quantum systems, including superconducting qubits, trapped ions, and photonic qubits, is analyzed alongside quantum circuits, hardware challenges, and error correction mechanisms. Core quantum algorithms, including Shor’s algorithm for factorization and Grover’s algorithm for search, are discussed with practical examples. The book also emphasizes quantum programming, featuring tools like Qiskit, Cirq, and PyQuil, and explores challenges in quantum simulation and circuit development. Applications in cryptography, artificial intelligence, drug discovery, and optimization are detailed, underscoring quantum computing’s transformative potential. The book concludes with an examination of challenges such as scalability, noise, and ethical concerns, while providing insights into future directions, including hardware advancements, emerging algorithms, and integration with classical systems. It serves as an essential resource for students, researchers, and professionals aiming to understand and contribute to the quantum revolution. Keywords: Quantum computing, classical computing, quantum mechanics, qubits, quantum gates, superposition, entanglement, quantum algorithms, Shor’s algorithm, Grover’s algorithm, quantum programming, Qiskit, Cirq, quantum circuits, quantum hardware, error correction, cryptography, artificial intelligence, drug discovery, optimization, scalability, quantum noise, ethical implications, future directions
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