A REVIEW ON CLOUD COMPUTING DATA CHUNK SIMILARITY BASED COMPRESSION

Abstract

Cloud computing gives a promising stage to sensing data handling and capacity as it gives an adaptable pile of enormous computing, stockpiling, and programming administrations in a versatile way. Current sensing data handling on Cloud have embraced some data pressure methods. Nonetheless, because of the high volume and speed of sensing data, conventional data pressure methods need adequate proficiency and versatility for data handling. With certifiable meteorological sensing data probes U-Cloud stage, show that approach dependent on data chunk similitude can fundamentally improve data pressure effectiveness with reasonable data precision misfortune.