TY  - JOUR
T1  - A Novel Shorten Erasure Based Reed Solomon Fault Tolerance Code for
Road Traffic Data Fault Tolerance
AU - Rafeeq, Md. AU - Kumar, C. Sunil AU - Chandra, N. Subhash 
JO  - International Journal of Soft Computing
VL  - 13
IS  - 1
SP  - 25
EP  - 30
PY  - 2018
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2018.25.30
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2018.25.30
KW  - response time comparison
KW  -performance comparison
KW  -evolution application
KW  -code shortening
KW  -Reed-Solomon
KW  -Erasure
KW  -Dropbox
KW  -Google Drive
KW  -Hightail
KW  -OneDrive
KW  -SugarSync
AB  - The massive growth in road traffic and subsequence generation of traffic related data insisting the
researcher to proceed for the analytical research on the traffic prediction. However, the gigantic size of the data
and chances of storage failure may cause the purpose inefficient. The advancement in technologies and high
demand for fault tolerant storage solutions most of the cloud based commercial storage service providers are
now equipped with erasure based Reed-Solomon fault tolerance mechanism. However, the additional cost for
replication is still an overhead for service providers and customers. In this research, we propose a novel erasure
based code and further optimization as shortening the proposedcode also for the digital storage formats. The
research also results into a comparative study of cost analysis for commercial cloud based storage service
providers. Finally, the research demonstrates the improvement in code shortening and making the performance
higher.
ER  -