2016 – 2017 Final Year Projects :: Big Data – Titles & Abstracts

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Titles 2016 – 2017 :: Big Data projects
ETPL BD – 001 |
H2Hadoop: Improving Hadoop Performance using the Metadata of Related Jobs |
ETPL BD – 002 |
Privacy Preserving Rack-Based Dynamic Workload Balancing for Hadoop Map Reduce |
ETPL BD – 003 |
BeTL: Map Reduce Checkpoint Tactics Beneath the Task Level |
ETPL BD – 004 |
An efficient key partitioning scheme for heterogeneous Map Reduce clusters |
ETPL BD – 005 |
Hybrid Job-Driven Scheduling for Virtual Map Reduce Clusters |
ETPL BD – 006 |
Attribute Based Access Control for Big Data Applications by Query Modification |
ETPL BD – 007 |
Distributed storage design for encrypted personal health record data |
ETPL BD – 008 |
FiDoop: Parallel Mining of Frequent Item sets Using Map Reduce |
ETPL BD – 009 |
A Map Reduce-Based Nearest Neighbour Approach for Big-Data-Driven Traffic Flow Prediction |
ETPL BD – 010 |
Toward a cloud-based security intelligence with big data processing |
ETPL BD – 011 |
eHSim: An Efficient Hybrid Similarity Search with Map Reduce |
ETPL BD – 012 |
Phurti: Application and Network-Aware Flow Scheduling for Multi-tenant Map Reduce Clusters |
ETPL BD – 013 |
On improving recovery performance in erasure code based geo-diverse storage clusters |
ETPL BD – 014 |
CaCo: An Efficient Cauchy Coding Approach for Cloud Storage Systems |
ETPL BD – 015 |
PerfCompass: Online Performance Anomaly Fault Localization and Inference in Infrastructure-as-a-Service Clouds |
ETPL BD – 016 |
Protection of Big Data Privacy |
ETPL BD – 017 |
Collaboration- and Fairness-Aware Big Data Management in Distributed Clouds |
ETPL BD – 018 |
Big Data Meet Green Challenges: Big Data toward Green Applications |
ETPL BD – 019 |
Privacy Preserving Deep Computation Model on Cloud for Big Data Feature Learning |
ETPL BD – 020 |
Efficient Cloud-Based Framework for Big Data Classification |
ETPL BD – 021 |
Policy-Based QoS Enforcement for Adaptive Big Data Distribution on the Cloud |
ETPL BD – 022 |
On Traffic-Aware Partition and Aggregation in Map Reduce for Big Data Applications |
ETPL BD – 023 |
An Efficient and Fine-grained Big Data Access Control Scheme with Privacy-preserving Policy |
ETPL BD – 024 |
A Novel Pipeline Approach for Efficient Big Data Broadcasting |
ETPL BD – 025 |
K Nearest Neighbour Joins for Big Data on Map Reduce: a Theoretical and Experimental Analysis |
ETPL BD – 026 |
HadoopViz: A Map Reduce framework for extensible visualization of big spatial data |
ETPL BD – 027 |
OverFlow: Multi-Site Aware Big Data Management for Scientific Workflows on Clouds |
ETPL BD – 028 |
Scalable Algorithms for Nearest-Neighbour Joins on Big Trajectory Data |
ETPL BD – 029 |
Crowdsourcing based Description of Urban Emergency Events using Social Media Big Data |
ETPL BD – 030 |
i2MapReduce: Incremental map reduce for mining evolving big data |
ETPL BD – 031 |
Scalable algorithms for nearest-neighbour joins on big trajectory data |
ETPL BD – 032 |
An Efficient Privacy-Preserving Ranked Keyword Search Method |