
Handling Priority Inversion in Time-Constrained Distributed Databases
Business Science Reference (Publisher)
Published on 14. February 2020
Book
Hardback
290 pages
978-1-7998-2491-6 (ISBN)
Description
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.
More details
Language
English
Place of publication
United States
Publishing group
IGI Global
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 286 mm
Width: 221 mm
Thickness: 25 mm
Weight
1194 gr
ISBN-13
978-1-7998-2491-6 (9781799824916)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Udai Shanker | Sarvesh Pandey
Handling Priority Inversion in Time-Constrained Distributed Databases
Book
02/2020
Business Science Reference
€192.60
Shipment within 10-20 days