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2016-2017 Final Year Projects Big Data

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

june, 2018

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Get it Now! 5000+ IEEE Project Lists

Elysium feels proud in building strategic long-term relationships with the clients across worldwide. We believe that the best solutions evolve from the collaborative relationships with our clients. As a global consultant, we work closely with the clients to understand their unique business transformation goals, design best-in-class solutions and devise the most efficient plan for implementing their strategy across the organization.

Our ETPL is renowned for our reputed services in offering real time projects for the students of engineering and science stream. Our prime motto is to fulfill the needs of the students in every aspect of our work. We also extend our guidance services to the research scholars.

  • No.1 : Project Leader in India
  • 1,00,000 Sucessive Stories
  • 100% Satisfaction
  • 100% Privacy
  • 5000+ IEEE Project Titles
  • Qualified Staff Members
  • 24/7 Help Desk Support
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