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2017 2018 Final Year Projects Parallel & Distributed Computing

2017 – 2018 Final Year Projects :: Parallel & Distributed Computing – Titles & Abstracts


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Titles 2017 – 2018 :: Parallel & Distributed Computing Projects

ETPL PDC – 001

Cloudde: A Heterogeneous Differential Evolution Algorithm and
Its Distributed Cloud Version

ETPL PDC – 002

A High Performance Block Eigensolver for Nuclear Configuration
Interaction Calculations

ETPL PDC – 003

Parallel Deep Neural Network Training for Big Data on Blue
Gene/Q

ETPL PDC – 004

Repair Tree: Fast Repair for Single Failure in Erasure-Coded
Distributed Storage Systems

ETPL PDC – 005

Understanding Big Data Analytics Workloads on Modern
Processors

ETPL PDC – 006

Exploring Efficient Hardware Support for Applications with
Irregular Memory Patterns on Multinode Manycore Architectures

ETPL PDC – 007

Optimizing Cloud-Service Performance: Efficient Resource
Provisioning via Optimal Workload Allocation

ETPL PDC – 008

Real-Time GPU Resource Management with Loadable Kernel
Modules

ETPL PDC – 009

AppBooster: Boosting the Performance of Interactive Mobile
Applications with Computation Offloading and Parameter Tuning

ETPL PDC – 010

Towards Long-View Computing Load Balancing in Cluster
Storage Systems

ETPL PDC – 011

Traffic-Aware Geo-Distributed Big Data Analytics with
Predictable Job Completion Time

ETPL PDC – 012

Cost-Aware Big Data Processing across Geo-distributed
Datacenters

ETPL PDC – 013

Application Execution Time Prediction for Effective CPU
Provisioning in Virtualization Environment

ETPL PDC – 014

aHDFS: An Erasure-Coded Data Archival System for Hadoop
Clusters

ETPL PDC – 015

Replication-based Fault-tolerance for Large-scale Graph
Processing

ETPL PDC – 016

A Clustering Algorithm for Communication-Aware Scheduling of
Task Graphs on Multi-Core Reconfigurable Systems

ETPL PDC – 017

A General-Purpose Architecture for Replicated Metadata Services
in Distributed File Systems

ETPL PDC – 018

Reliable Virtual Machine Placement and Routing in Clouds

ETPL PDC – 019

A Technique for Efficient Query Estimation over Distributed Data
Streams

ETPL PDC – 020

Using imbalance characteristic for fault-tolerant workflow
scheduling in Cloud Systems

ETPL PDC – 021

Efficient Distributed All-Pairs Algorithms: Management using
Optimal Cyclic Quorums

ETPL PDC – 022

aHDFS: An Erasure-Coded Data Archival System for Hadoop
Clusters

ETPL PDC – 023

Replication-based Fault-tolerance for Large-scale Graph
Processing

ETPL PDC – 024

A Clustering Algorithm for Communication-Aware Scheduling of
Task Graphs on Multi-Core Reconfigurable Systems

ETPL PDC – 025

Cluster-Aware Virtual Machine Collaborative Migration in Media
Cloud

ETPL PDC – 026

Reliable Virtual Machine Placement and Routing in Clouds

ETPL PDC – 027

Using imbalance characteristic for fault-tolerant workflow
scheduling in Cloud Systems

ETPL PDC – 028

Optimizing Parallel Clustering Throughput in Shared Memory

ETPL PDC – 029

An Adaptive Parallel Algorithm for Computing Connected
Components

ETPL PDC – 030

Parallel Graph Partitioning for Complex Networks

ETPL PDC – 031

Piccolo: A Fast and Efficient Rollback System for Virtual
Machine Clusters

ETPL PDC – 032

A Load Balancing and Multi-tenancy Oriented Data Center
Virtualization Framework

ETPL PDC – 033

ATOM: Efficient Tracking, Monitoring, and Orchestration of
Cloud Resources

ETPL PDC – 034

A Fuzzy Approach based on Heterogeneous Metrics for Scaling
Out Public Clouds

ETPL PDC – 035

Binary-Tree Based Estimation of File Requests for Efficient Data
Replication

ETPL PDC – 036

Response-Time Analysis in Hierarchically-Scheduled Time-Partitioned Distributed Systems

ETPL PDC – 037

Stochastic Resource Provisioning for Containerized Multi-Tier
Web Services in Clouds

ETPL PDC – 038

DGLB: Distributed Stochastic Geographical Load Balancing over
Cloud Networks

ETPL PDC – 039

Oasis: Scaling Out Datacenter Sustainably and Economically

ETPL PDC – 040

HDM: A Composable Framework for Big Data Processing

ETPL PDC – 041

Distributed Sparse Class-Imbalance Learning and its Applications

june, 2018

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