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@article{144630,
        author = {Sowmya V and S Keshava Murthy},
        title = {An Approach to Enhance Storage Efficiency in memory using Inline Compression},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {3},
        pages = {34-38},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144630},
        abstract = {Data compression is frequently stated as coding, where coding is a more common term encompassing any special depiction of data which fulfills a given purpose. Data compression may be seenas a subdivision of information theory in which the major objective is to minimize the amount of data to be transmitted. Inline compression technique proposed enhances the compression capability.This compression implementation option can affect the write performance and thus must never be used for performance-sensitive scenarios without right testing to comprehend the impact. In orderto provide the fastest throughput, inline compression will compress many new writes but will accede some more performance-intensive compression operations to compress when the next post-process compression process is run. An instance of a performance-intensive compression operation includes partial compression group writes and overwrites. This paper focuses on the in memory based approach to compression which is most commonly termed as Inline Compression.},
        keywords = {Background Compression,Compress Group, Data Compression ,Inline Compression},
        month = {},
        }