A Time Efficient Approach for Error Location Detection and Correction in Big Data Cloud Storage

Kamal Sharma, Karambir Bidhan

Abstract: The approach, the burst error acknowledgement relies upon the without scale framework topology and a substantial part of disclosure operations driven in obliged transient or spatial data divides as opposed to a whole big data set. From this time forward the recognisable proof and range method can be essentially stimulated. In addition, the acknowledgement and territory endeavours can be appropriated to cloud stage to totally exploit the algorithm power and big storage. Through the investigation on our cloud computing stage of Cloud data storage, it is shown that our proposed methodology can fundamentally diminish the ideal opportunity for error recognition and correction location in big data sets created by extensive scale sensor system frameworks with adequate error distinguishing precision.

Keywords: burst error, big data, cloud data storage, error recognition and correction, spatial data

How to Cite?: Kamal Sharma, Karambir Bidhan, "A Time Efficient Approach for Error Location Detection and Correction in Big Data Cloud Storage", Volume 5 Issue 11, November 2016, International Journal of Science and Research (IJSR), Pages: 659-662, https://www.ijsr.net/getabstract.php?paperid=ART20162864, DOI: https://dx.doi.org/10.21275/ART20162864