MapReduce has greatly simplified the development of large-scale, parallel data processing applications. However due to a lack of efficient management of data and

Keywords: Google MapReduce Processes, Hadoop, Parallel Data Processing, HDFS, Cloud Computing, Large Cluster Data

UNIVERSITI PUTRA MALAYSIA UNSTRUCTURED BIG DATA PROCESSING IN CLOUD COMPUTING ENVIRONMENT BY USING AMAZON ELASTIC MAP REDUCE... UNSTRUCTURED BIG DATA PROCESSING IN CLOUD

Find error messages present in log files interactively (Example: HTTP server logs). lines = spark.textFile(

Find error messages present in log files interactively (Example: HTTP server logs). lines = spark.textFile(

INDEX WORDS: Signal processing, Deep learning, Cloud computing, Biological big data, DNA annotation, Epigenetics, CpG island, CpG box, Markov

Information Technology Affective Computing, Big Data Analysis, Bio-Inspired Computing, Cloud Computing, Cloud Security, Cyber Security, Computer Networks, Databases,

also the activity of the enzyme was decreased in max1 and max2-1 mutant seedlings (Fig 4D) 235.. which may provide explanation for the elevated SNO and NO levels (Fig

The goal is to analyze the potential of cloud computing for big data infrastructure, and propose a model for effective storing, processing and analyzing big data in e-government..

We respectively discussed the key issues, including cloud storage and computing architecture, popular parallel processing framework, major applications and

Based on the MapReduce model in cloud computing [9], in order to improve the performance for attribute reduction in big data set, we design a N-Populations distributed

Big Data is typically large volume of un- structured (or semi structured) and structured data that gets created from various organized and computing problems across a number

Information Technology Affective Computing, Big Data Analysis, Bio-Inspired Computing, Cloud Computing, Cloud Security, Cyber Security, Computer Networks, Databases,

•  MapReduce: Simple yet scalable model for Big Data processing.. Cumulo NumBio 2015, Aussois, 4 June 2015

Focus has been made on analysis and computing, classification of technology, big data and cloud computing, Docker Container, storage, big data optimization and

We proposed a framework to process a large dataset in a cloud environment in parallel and distributed fashion, as well proposed Amazon Web Services as one instance

Keywords: Big data, Hadoop, Distributed, MapReduce, analytics, big data platforms, Large Dataset, Parallel, Storage, Cluster,

Regarding the applications of dynamic BIM big data, this study proposed four data processing mode types based on the MapReduce distributed computing framework for the data of