International Journal of Information Technology and Computer Science · 2013 · 14 citations · 8 references
ComputingComputer ScienceComputer SystemsCluster ComputingDistributed SystemsNetwork SecurityDistributed ComputingDistributed Data ProcessingData ProcessingDistributed Data SecurityMapreduceMapreduce AlgorithmsUser Profile ManagementUser Profile Modeling
The massive increases in data have paved a path for distributed computing, which in turn can reduce the data processing time. Though there are various approaches in distributed computing, Hadoop is one of the most efficient among the existing ones. Hadoop consists of different elements out of which Map Reduce is a scalable tool that enables to process a huge data in parallel. We proposed a Novel and Efficient User Profile Characterization under distributed environment. In this frame work the network ano malies are detected by using Hadoop Map Reduce technique. The experimental results clearly show that the proposed technique shows better performance.
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Sanjay Ghemawat · Communications of the ACM · 2008 · 18.5K citations · Full text
Parallel data processing with MapReduce
Kyong-Ha Lee, Yoon-Joon Lee, Hyun‐Sik Choi et al. · ACM SIGMOD Record · 2012 · 555 citations
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