In the computer science industry, high levels of performance remain the focal point in software engineering. This quest has made current systems exceedingly complex, as practitioners strive to discover novel approaches to increase the capabilities of modern computer structures. A prevalent area of research in recent years is scalable transaction processing and its usage in large databases and cloud computing. Despite its popularity, there remains a need for significant research in the understanding of scalability and its performance within distributed databases. Handling Priority Inversion in Time-Constrained Distributed Databases provides emerging research exploring the theoretical and practical aspects of database transaction processing frameworks and improving their performance using modern technologies and algorithms. Featuring coverage on a broad range of topics such as consistency mechanisms, real-time systems, and replica management, this book is ideally designed for IT professionals, computing specialists, developers, researchers, data engineers, executives, academics, and students seeking research on current trends and developments in distributed computing and databases.
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Udai Shankar is presently Professor in the Department of Computer Sc. & Engineering of M. M. M. University of Technology, Gorakhpur-273010. For his imitation of the most modern of approaches and also for his exemplary devotion to the field of teaching, and sharing his profound knowledge with students to make better future citizen of India, he has been a role model for the new generation of academicians. Besides introduced radical and revolutionary changes that have positively impacted the database world and student community, he is a man well versed with all the intricacies of academics.
Sarvesh Pandey is presently working as a Senior Research Fellow in the Computer Science & Engineering Department of Madan Mohan Malaviya University of Technology, Gorakhpur, India. His broad area of research includes distributed real-time database systems, cloud computing and advanced networks. He is associated as a review expert for some reputed journals, conferences and book series.
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Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the computer science industry, high levels of performance remain the focal point in software engineering. This quest has made current systems exceedingly complex, as practitioners strive to discover novel approaches to increase the capabilities of modern computer structures. A prevalent area of research in recent years is scalable transaction processing and its usage in large databases and cloud computing. Despite its popularity, there remains a need for significant research in the understanding of scalability and its performance within distributed databases. Handling Priority Inversion in Time-Constrained Distributed Databases provides emerging research exploring the theoretical and practical aspects of database transaction processing frameworks and improving their performance using modern technologies and algorithms. Featuring coverage on a broad range of topics such as consistency mechanisms, real-time systems, and replica management, this book is ideally designed for IT professionals, computing specialists, developers, researchers, data engineers, executives, academics, and students seeking research on current trends and developments in distributed computing and databases. Bestandsnummer des Verkäufers 9781799824916
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