BIGDATA

In-memory Stream Indexing of Massive and Fast Incoming Multimedia Content

Abstract:

In this article, a media storm indexing mechanism is presented, where media storms are defined as fast incoming batches. We Read More

HDM: A Composable Framework for Big Data Processing

Abstract:

Over the past years, frameworks such as MapReduce and Spark have been introduced to ease the task of developing big Read More

GPU-accelerated High-throughput Online Stream Data Processing

Abstract:

The Single Instruction Multiple Data (SIMD) architecture of Graphic Processing Units (GPUs) makes them perfect for parallel processing of big Read More

From Latency, through Outbreak, to Decline: Detecting Different States of Emergency Events Using Web Resources

Abstract:

An emergency event is a sudden, urgent, usually unexpected incident or occurrence that requires an immediate reaction or assistance for Read More

Efficient Secure Outsourcing of Large-scale Sparse Linear Systems of Equations

Abstract:

Solving large-scale sparse linear systems of equations (SLSEs) is one of the most common and fundamental problems in big data, Read More

Distributed Feature Selection for Efficient Economic Big Data Analysis

Abstract:

With the rapidly increasing popularity of economic activities, a large amount of economic data is being collected. Although such data Read More

Complex Queries Optimization And Evaluation Over Relational And NoSQL Data Stores In Cloud Environments

Abstract:

The production of huge amount of data and the emergence of cloud computing have introduced new requirements for data management. Read More

CaL: Extending Data Locality to Consider Concurrency for Performance Optimization

Abstract:

Big data applications demand a better memory performance. Data Locality has been the focus of reducing data access delay. Data Read More