Improving Map Reduce Performance in Heterogeneous Distributed System using HDFS Environment-A Review

Provided by: Auricle Technologies
Topic: Data Management
Format: PDF
Hadoop is a Java-based programming framework which supports for storing and processing big data in a distributed computing environment. It is using HDFS for data storing and using Map reduce to processing that data. Map reduce has become an important distributed processing model for large-scale data-intensive applications like data mining and web indexing. Map reduce is widely used for short jobs requiring low response time. The current Hadoop implementation assumes that computing nodes in a cluster are homogeneous in nature. Unfortunately, both the homogeneity and data locality assumptions are not satisfied in virtualized data centers.

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