Paper Title
Identifying And Optimizing Data Duplication By Efficient Memory Allocation In Repository By Single Instance Storage
Abstract
Abstract—Cloud Storage provide users with abundant storage space and make user friendly for immediate data
access. But there is a lack of analysis on optimizing cloud storage for effective data access. With the development of
storage and technology, digital data has occupied more and more space. According to statistics, 60% of digital data is
redundant, and the data compression can only eliminate intrafile
redundancy. In order to solve these problems,
DeDuplication
has been proposed. Many organizations have set up private cloud storage with their unused resources for
resource utilization. Since private cloud storage has limited amount of hardware resources, they need to optimally utilize
the space to hold maximum data. In this paper, we discuss the flaws in existing methods for Data DeDuplication.
Our
proposed method namely Dynamic Whole File Deduplication
(DWFD) provides dynamic space optimization and
efficient method to identify duplicates by single instance in private cloud storage backup as well as increase the throughput
and deduplication
efficiency.
Index Terms—Cloud Backup, Cloud Computing, ConstantSize
Chunking, Data DeDuplication,
FullFile
Chunking,
Private Storage Cloud, Redundancy.