Fault Tolerance in Big Data Processing Using Heartbeat Messages and Data ReplicationJournal: International Journal for Scientific Research and Development | IJSRD (Vol.3, No. 10)
Publication Date: 2016-01-01
Authors : T.Cowsalya; N.Gomathi; R.Arunkumar;
Page : 999-1001
Keywords : Big data; Fault Tolerance; Heartbeat Messages; Node Recovery; Data Replication;
Big data is a popular term used to define the exponential evolution and availability of data, includes both structured and unstructured data. The volatile progression of demands on big data processing imposes heavy burden on computation, communication and storage in geographically distributed data centers. Hence it is necessary to minimize the cost of big data processing, which also includes fault tolerance cost. Big Data processing involves two types of faults: node failure and data loss. Both the faults can be recovered using heartbeat messages. Here heartbeat messages acts as an acknowledgement messages between two servers. This paper depicts about the study of node failure and recovery, data replication and heartbeat messages.
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Last modified: 2016-01-11 18:41:41