Big Data Technology Fusion Back Propagation Neural Network in Product Innovation Design Method
This research uses big data technology to combine the process of product innovation design method, which has certain significance for the formation of intelligent and systematic product innovation design method. Meanwhile, while predicting the results of all products innovative design methods, it can improve the product's predictive innovative design ...
Ren Li, Qiang Zeng
wiley +1 more source
Studi Perbandingan Performa Algoritma Penjadwalan untuk Real Time Data Twitter pada Hadoop
Hadoop merupakan sebuah framework software yang bersifat open source dan berbasis java. Hadoop terdiri atas dua komponen utama, yaitu MapReduce dan Hadoop Distributed File System (HDFS).
Sidik Prabowo, Maman Abdurohman
doaj +1 more source
'Big Data 'describes and technologies to store, distribute, manage and analyze large-sized datasets with high-velocity. Big data can be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data is generated from various different sources and can arrive in the system at various rates. In order
null Yash Patel, null Prof. Manish Joshi
openaire +1 more source
Hadoop Performance Analysis Model with Deep Data Locality
Background: Hadoop has become the base framework on the big data system via the simple concept that moving computation is cheaper than moving data. Hadoop increases a data locality in the Hadoop Distributed File System (HDFS) to improve the performance ...
Sungchul Lee, Ju-Yeon Jo, Yoohwan Kim
doaj +1 more source
Attribute based honey encryption algorithm for securing big data: Hadoop distributed file system perspective [PDF]
Hadoop has become a promising platform to reliably process and store big data. It provides flexible and low cost services to huge data through Hadoop Distributed File System (HDFS) storage.
Gayatri Kapil +5 more
doaj +2 more sources
CloudDOE: a user-friendly tool for deploying Hadoop clouds and analyzing high-throughput sequencing data with MapReduce. [PDF]
BackgroundExplosive growth of next-generation sequencing data has resulted in ultra-large-scale data sets and ensuing computational problems. Cloud computing provides an on-demand and scalable environment for large-scale data analysis.
Wei-Chun Chung +9 more
doaj +1 more source
OEHadoop: Accelerate Hadoop Applications by Co-Designing Hadoop With Data Center Network
Big data applications in Hadoop usually cause heavy bandwidth demand and network bottleneck in the current data center network (DCN). On one hand, the design of DCN does not take the traffic demand and the traffic patterns of Hadoop applications into ...
Yinan Tang +7 more
doaj +1 more source
An Intrusive Analyzer for Hadoop Systems Based on Wireless Sensor Networks
Owing to the acceleration of IoT- (Internet of Things-) based wireless sensor networks, cloud-computing services using Big Data are rapidly growing. In order to manage and analyze Big Data efficiently, Hadoop frameworks have been used in a variety of ...
Byoung-Jin Bae +4 more
doaj +1 more source
A Blockchain-Enabled Framework for Controlled Access to Cluster Resources [PDF]
Purpose: Big data applications enable organizations to derive actionable insights that inform strategic decision making and enhance operational efficiency in real time.
Kausthav Pratim Kalita +2 more
doaj +3 more sources
Integrating Distributed Hadoop System into the Existing Infrastructure [PDF]
A distributed Hadoop system can integrate clusters of different organizations. The purpose of this article is to consider the options for building an architecture of a distributed Hadoop system, so that it is, on the one hand, to integrate a logically ...
Stefka Petrova +4 more
doaj

