Application-Aware Big Data Deduplication in Cloud Environment

Abstract

Application-Aware Big Data Deduplication in Cloud Environment java project report has turned into a broadly sent innovation in cloud server farms to enhance IT assets productivity. Be that as it may, conventional systems confront an extraordinary test in enormous information deduplication to strike a sensible tradeoff between the clashing objectives of versatile deduplication throughput and high copy disposal proportion. We propose App Depute, an application mindful adaptable inline dispersed deduplication structure in cloud condition, to address this difficulty by abusing application mindfulness, information comparability and region to upgrade circulated deduplication with between hub two-layered information directing and intra-hub application-mindful deduplication.

System Configuration:

H/W System Configuration:-

System          : Pentium I3 Processor.
Hard Disk       : 500 GB.
Monitor          : Standard LED Monitor
Input Devices : Keyboard
Ram               : 4 GB

S/W System Configuration:-

Operating system              : Windows 7/8/10.
Available Coding Language : Java and Phonegap
Database                          : MYSQL

Conclusions

In Application-Aware Big Data Deduplication in Cloud Environment java project report paper, we described the design and implementation of CACSS, a big data storage system, taking into account the generic principles of data storage efficiency and durability, scalability, performance and reliability. CACSS has been deployed on top of IC-Cloud infrastructure since 2012 and has served as the main storage space for several internal and external collaborative projects. CACSS delivers comprehensive features such as data access through the S3 interface (the de facto industry standard), native and user defined object metadata searching, global data de-duplication and object data caching services.