IEEE PROJECTS, M.TECH PROJECTS,

1. BIGDATA IEEE – 2016 PROJECTS LIST
**_________________________________________**
S.NO
PROJECT
CODE
PROJECT TITLE LANGUAGE
1 B1601
Clustering of Electricity Consumption Behavior
Dynamics toward Big Data Applications
HADOOP
2 B1602
Dynamic Job Ordering and Slot Configurations for
MapReduce Workloads
HADOOP
3 B1603
On Traffic-Aware Partition and Aggregation in
MapReduce for Big Data Applications
HADOOP
4 B1604
A Parallel Patient Treatment Time Prediction Algorithm
and Its Applications in Hospital Queuing-
Recommendation in a Big Data Environment
HADOOP
5 B1605
FiDoop-DP: Data Partitioning in Frequent Item set
Mining on Hadoop Clusters
HADOOP
6 B1606
Hadoop Performance Modeling for Job Estimation and
Resource Provisioning
HADOOP
7 B1607
Novel Scheduling Algorithms for Efficient Deployment
of MapReduce Applications in Heterogeneous Computing
Environments
HADOOP
8 B1608
Optimization for Speculative Execution in Big Data
ProcessingClusters
HADOOP
9 B1609 Protectionof Big Data Privacy HADOOP
10 B1610
K Nearest Neighbour Joins for Big Data on MapReduce:
a Theoretical and Experimental Analysis
HADOOP
11 B1611
Dynamic Resource Allocation for MapReduce with
Partitioning Skew
HADOOP
12 B1612
Service Rating Prediction by Exploring Social Mobile
Users’ Geographical Locations
HADOOP
13 B1613
A Big Data Clustering Algorithm for Mitigating the Risk
of Customer Churn
HADOOP
14 B1614
H2Hadoop: Improving Hadoop Performance using the
Metadata of Related Jobs
HADOOP
15 B1615
Adaptive Replication Management in HDFS based on
Supervised Learning
HADOOP
16 B1616
RFHOC: A Random-Forest Approach to Auto-Tuning
Hadoop’s Configuration
HADOOP
17 B1617
CaCo: An Efficient Cauchy Coding Approach for Cloud
Storage Systems
HADOOP
18 B1618
Wide Area Analytics for Geographically Distributed
Datacenters
HADOOP
19 B1619
Distributed In-Memory Processing of All k Nearest
Neighbor Queries
HADOOP
20 B1620
Processing Cassandra Datasets with Hadoop-Streaming
Based Approaches
HADOOP