Share
A Secure Cloud Framework For Text Processing Using Hadoop MapReduce
P. Srinivasa Rao
(Author)
·
Nagesh Vadaparthy
(Author)
·
Sushma Rani Narnindi
(Author)
·
LAP Lambert Academic Publishing
· Paperback
A Secure Cloud Framework For Text Processing Using Hadoop MapReduce - Rao, P. Srinivasa ; Vadaparthy, Nagesh ; Narnindi, Sushma Rani
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Tuesday, July 16 and
Tuesday, July 23.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "A Secure Cloud Framework For Text Processing Using Hadoop MapReduce"
Digitalization has made the enterprise data rich, with information pertaining to personal as well as business. The question remains whether or not we make use of this massive data for any use. The advent of data intensive applications leads to development of a framework which will crunch massive volumes of information into a knowledgeable source. Hadoop Map Reduce frame work facilitates processing of the huge collection of information in an efficient manner. In Hadoop, it is known that there is delay in execution of the processes submitted by various users at peak loads through SSH authentication. The massive data in the framework is vulnerable when it is outsourced to cloud, as computation as service; for that several authors proposed to use encrypted data, but the user is not allowed to perform read/write operation on encrypted data directly with the existing Hadoop Map Reduce Framework. Hence, in this book, authors aim at providing i) authentication, ii) security to the data being processed and iii) facility for effective retrieval mechanism in Hadoop Map Reduce frame work.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.