hadoop ieee projects 2016-2017 | hadoop ieee projects titles 2016-2017
Post on 15-Apr-2017
112 Views
Preview:
TRANSCRIPT
Hadoop IEEE Projects Titles – 2016-2017
LeMeniz Infotech
36, 100 feet Road, Natesan Nagar(Near Indira Gandhi Statue and Next to Fish-O-Fish),
Pondicherry-605 005
Web : www.ieeemaster.com / www.lemenizinfotech.com
Mail : info@lemenizinfotech.com / projects@lemenizinfotech.com
Phone : 9566355386 / 9962588976
S.No
Title
Year
1
Wide Area Analytics for Geographically Distributed Datacenters
2016
2
A Big Data Clustering Algorithm for Mitigating the Risk of Customer Churn
2016
3
A Parallel Patient Treatment Time Prediction Algorithm and Its Applications in Hospital Queuing-Recommendation in a Big Data Environment
2016
4
Adaptive Replication Management in HDFS based on Supervised Learning
2016
5
H2Hadoop: Improving Hadoop Performance using the Metadata of Related Jobs
2016
6
Adaptive Replication Management in HDFS based on Supervised Learning
2016
7
CaCo: An Efficient Cauchy Coding Approach for Cloud Storage Systems
2016
8
Distributed In-Memory Processing of All k Nearest Neighbor Queries
2016
9
clustering of electricity consumption behavior dynamics toward big data applications
2016
10
Processing Cassandra Datasets with Hadoop-Streaming Based Approaches
2016
11
Distributed In-Memory Processing of All k Nearest Neighbor Queries
2016
12
Dynamic Job Ordering and Slot Configurations for MapReduce Workloads
2016
13
Dynamic Resource Allocation for MapReduce with Partitioning Skew
2016
14
FiDoop-DP: Data Partitioning in Frequent Itemset Mining on Hadoop Clusters
2016
15
Hadoop Performance Modeling for Job Estimation and Resource Provisioning
2016
16
Novel Scheduling Algorithms for Efficient Deployment of MapReduce Applications in Heterogeneous Computing Environments
2016
17
K Nearest Neighbour Joins for Big Data on MapReduce: a Theoretical and Experimental Analysis
2016
18
On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications
2016
19
Protection of Big Data Privacy
2016
20
Optimization for Speculative Execution in Big Data Processing Clusters
2016
21
RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop’s Configuration
2016
top related