Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6207449533 ISBN 13: 9786207449538
Librería: preigu, Osnabrück, Alemania
EUR 67,10
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Transaction Management in Heterogeneous Distributed Database Systems | Real Time Database Systems | Dheeraj Lokhande | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786207449538 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Dez 2023, 2023
ISBN 10: 6207449533 ISBN 13: 9786207449538
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 79,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Neuware -With the increase of large scale web applications and introduction of cloud computing, demands for data storage systems are much more. Existing techniques and models for interacting with transactions work well for the traditional model of single database systems, but the requirement is that it should work with heterogeneous, distributed and scalable database systems. In this book we have considered workload heterogeneity. The physical machine heterogeneity can be considered in the further work. The framework takes small files for uploading on the cloud storage systems. It can be further enhanced to support larger file size. Also, heterogeneity of the types of files can be increased. As we have seen in the results, the framework takes more time to time to upload data per millisecond on cloud storage systems, which means throughput of the system, can be improved by using relevant algorithms. Data security is always a critical issue while data is traveling over the internet and stored on the cloud storage systems. Advanced security techniques can be used in the framework to achieve more security while user data is traveling through the internet and cloud storage systems.Books on Demand GmbH, Überseering 33, 22297 Hamburg 200 pp. Englisch.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing Dez 2023, 2023
ISBN 10: 6207449533 ISBN 13: 9786207449538
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 79,90
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 200 pp. Englisch.
Idioma: Inglés
Publicado por OmniScriptum|LAP Lambert Academic Publishing, 2023
ISBN 10: 6207449533 ISBN 13: 9786207449538
Librería: moluna, Greven, Alemania
EUR 61,15
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lokhande DheerajDr.Dheeraj Lokhande received a research grant from Dr.Babasaheb Ambedkar Technological University, Lonere. He has published more than 20 research papers and a book. He has got a patent from India and UK. He is part of.
Idioma: Inglés
Publicado por LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6207449533 ISBN 13: 9786207449538
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 80,86
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - With the increase of large scale web applications and introduction of cloud computing, demands for data storage systems are much more. Existing techniques and models for interacting with transactions work well for the traditional model of single database systems, but the requirement is that it should work with heterogeneous, distributed and scalable database systems. In this book we have considered workload heterogeneity. The physical machine heterogeneity can be considered in the further work. The framework takes small files for uploading on the cloud storage systems. It can be further enhanced to support larger file size. Also, heterogeneity of the types of files can be increased. As we have seen in the results, the framework takes more time to time to upload data per millisecond on cloud storage systems, which means throughput of the system, can be improved by using relevant algorithms. Data security is always a critical issue while data is traveling over the internet and stored on the cloud storage systems. Advanced security techniques can be used in the framework to achieve more security while user data is traveling through the internet and cloud storage systems.