Transaction Management Heterogeneous Distributed by Lokhande Dheeraj (5 results)

Taschenbuch. Condition: 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.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 200 pp. Englisch.

Condition: 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.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The process of index creation demands highly experienced person who should have detailed knowledge of physical database designing. TIER provides help to these persons to take decision regarding index implementation. Hence, TIER should be able to recommend index for any type of inputted query. Presently, TIER takes simple queries with one level of nesting and simple join queries as input. However, user can input 'n' number of queries. To strengthen TIER, it could be expanded in terms of variety of inputted queries, more types of index suggestions, runtime enabling or disabling indexes, automated interface to connect all RDBMS which participate in distributed database, etc. TIER could be enhanced to make it recommend function-based indexes. The inputted workload in TIER contains only SELECT statements. No data manipulation commands are considered in the workload. To find out CPU and IO overhead, the DML statements can also be given as inputs in TIER. The distributed tables from remote databases are accessed through Oracle Gateway service in Oracle, The heuristic which could make user access data in reverse fashion could also be developed.

Taschenbuch. Condition: 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.