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S.No Project Titles Abstract
1 Thermal-Aware and DVFS-Enabled Big Data Task Scheduling for Data Centers - 2018 Abstract
2 A Generative Model for Sparse Hyperparameter Determination - 2018 Abstract
3 An Enhanced Visualization Method to Aid Behavioral Trajectory Pattern Recognition Infrastructure for Big Longitudinal Data - 2018 Abstract
4 Big Data Based Security Analytics for Protecting Virtualized Infrastructures in Cloud Computing - 2018 Abstract
5 CaL: Extending Data Locality to Consider Concurrency for Performance Optimization - 2018 Abstract
6 Complex Queries Optimization and Evaluation over Relational and NoSQL Data Stores in Cloud Environments - 2018 Abstract
7 Distributed Feature Selection for Efficient Economic Big Data Analysis - 2018 Abstract
8 Efficient Secure Outsourcing of Large-Scale Sparse Linear Systems of Equations - 2018 Abstract
9 From Latency, Through Outbreak, to Decline: Detecting Different States of Emergency Events Using Web Resources - 2018 Abstract
10 GPU-Accelerated High-Throughput Online Stream Data Processing - 2018 Abstract
11 HDM: A Composable Framework for Big Data Processing - 2018 Abstract
12 In-Memory Stream Indexing of Massive and Fast Incoming Multimedia Content - 2018 Abstract
13 JouleMR: Towards Cost-Effective and Green-Aware Data Processing Frameworks - 2018 Abstract
14 Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test - 2018 Abstract
15 Memory Vectors for Similarity Search in High-Dimensional Spaces - 2018 Abstract
16 MetaFlow: A Scalable Metadata Lookup Service for Distributed File Systems in Data Centers - 2018 Abstract
17 QMSampler: Joint Sampling of Multiple Networks with Quality Guarantee - 2018 Abstract
18 Smart Monitoring Cameras Driven Intelligent Processing to Big Surveillance Video Data - 2018 Abstract
19 Speed Up Big Data Analytics by Unveiling the Storage Distribution of Sub-Datasets - 2018 Abstract
20 Towards Max-Min Fair Resource Allocation for Stream Big Data Analytics in Shared Clouds - 2018 Abstract

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