HADOOP

HADOOP-2016 IEEE PROJECTS
BIG DATA

S.NO
TITLES
1A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn
2A Parallel Patient Treatment Time Prediction Algorithm and Its Applications in Hospital Queuing-Recommendation in a Big Data Environment
3Adaptive Replication Management in HDFS based on Supervised Learning
4CaCo: An Efficient Cauchy Coding Approach for Cloud Storage Systems
5Clustering of Electricity Consumption Behavior Dynamics toward Big Data Applications
6Distributed In-Memory Processing of All k Nearest Neighbor Queries
7Dynamic Job Ordering and Slot Configurations for MapReduce Workloads
8Dynamic Resource Allocation for MapReduce with Partitioning Skew
9FiDoop -DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters
10H2Hadoop: Improving Hadoop Performance using the Metadata of Related Jobs
11Hadoop Performance Modeling for Job Estimation and Resource Provisioning
12K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis
13Novel Scheduling Algorithms for Efficient Deployment of MapReduce Applications in Heterogeneous Computing Environments
14On Traffic -Aware Partition and Aggregation in MapReduce for Big Data Applications
15Optimization for Speculative Execution in Big Data Processing Clusters
16A Random-Forest Approach to Auto-Tuning Hadoop’s Configuration
17Service Rating Prediction by Exploring Social Mobile Users’ Geographical Locations
18Wide Area Analytics for Geographically Distributed Datacenters
19Processing Cassandra Datasets with Hadoop-Streaming Based Approaches
20Protection of Big Data Privacy