In Today's age of Tetra Scale computing, the application has become more data intensive than ever. The
increased data volume from applications, in now tackling larger and larger problems, and has fuelled the
need for efficient management of this data. In this paper, a technique called Content Addressable Storage or
CAS, for managing large volume of data is evaluated. This evaluation focuses on the benefits and demerits
of using CAS it focuses, i) improved application performance via lockless and lightweight synchronization
ofaccess to shared storage data, ii) improved cache performance, iii) increase in storage capacity and, iv)
increase network bandwidth. The presented design of a CAS-Based file store significantly improves the
storage performance that provides lightweight lock less user defined consistency semantics. As a result, this
file system shows a 28% increase in read bandwidth and 13% increase in write bandwidth, over a popular
file system in common use. In this paper the potential benefits of using CAS for a virtual machine are
estimated. The study also explains mobility application for active use and public deployment.
Storage performance of Taiwanese sweet potato cultivars
