Master Thesis MapReduce Projects

    Master Thesis MapReduce Projects based at all round services for final year master students from CSE, IT, ECE, EEE. MapReduce is a method that support for batch based large scale parallelization. We offer custom thesis projects in plenty of MapReduce related topics including clustering, machine translation, graph algorithms, personalization, and spam or malware detection. Today more ideas invented for research scholars that are as follows:

• Hadoop Data Rebalancing
• Hadoop Log Analysis
• Flash Memory Usage
• Search and Analytics
• Job Scheduling (Fair Share and FIFO Schedulers)

We provide the following thesis consultation services for any of the master students:

• Prepare thesis problem statement
• Writing an thesis outline
• How to write a customized thesis?
• How many chapters should be written?
• How should the Research Methodology and Experimentation to be written?
• How should write the conclusion and future part?
• How should check the grammar corrections?
• How should the Proof Reading and Editing be solved?
• What are the questions asked during thesis viva-voce?
• How to answer them the proposed approach is the best approach?

  In addition to these services, we offer extensive research guidance for PhD/MS research scholars in all subjects. If you troubled with your project or any scientific research based documentation, contact us. We are ready to provide 24/7 support for you!!!

Amazing Topics for Master Thesis MapReduce Projects

• Build Network User Profiles with Top-k Rankings using MapReduce Approach for Network Security
• On the Design of Heterogeneous Big data Analytic Engines using Capacity Aware Key Partitioning Scheme over MapReduce Paradigm
• A Novel Method for an Information Centric MapReduce Framework Designing for Internet of Things
• Design of Automatic Testing and Faults Identification in MapReduce Applications [Master Thesis MapReduce Projects]
• DDoS Attacks Detection and Prevention Analysis over Big Data Hadoop (MapReduce) Environment
• Multi-layered Outsourced Big Data System based on Trusted Third Party based Trusted Verifier on Hadoop MapReduce Deployed Cloud Environment
• A Hybrid Cloud Bursting Approach for the Performance Model of Hadoop MapReduce Iterative Applications
• A Hadoop MapReduce Framework for Finding Top-k Dominance on Incomplete Big Data [Master Thesis MapReduce Projects]
• Multiple Classifier Types and Diversity with Ensemble Learning Method for Condition based Maintenance with Concept Drifts on Map Reduce framework
• Checkpointing of Intermediate data for Optimized Task Recovery in MapReduce Environment