Expert profiling for collaborative innovation: big data perspective
T Silva, J Ma - Information Discovery and Delivery, 2017 - emerald.com
Purpose Expert profiling plays an important role in expert finding for collaborative innovation
in research social networking platforms. Dynamic changes in scientific knowledge have …
in research social networking platforms. Dynamic changes in scientific knowledge have …
[PDF][PDF] Analysis of Research Data using MapReduce Word Count Algorithm
We are living in the data world where the data continuously grows exponentially from
different data generator factors like Sensors, Healthcare, Telecom, Online Shopping, Social …
different data generator factors like Sensors, Healthcare, Telecom, Online Shopping, Social …
Earthquake prediction using map reduce framework
CP Shabariram, KE Kannammal - … International Conference on …, 2017 - ieeexplore.ieee.org
An earthquake is shaking of the surface of the Earth, which caused as the result of movable
plate boundary interactions. The sudden release of energy called seismic waves that …
plate boundary interactions. The sudden release of energy called seismic waves that …
[PDF][PDF] Performance tuning and scheduling of large data set analysis in map reduce paradigm by optimal configuration using Hadoop
N Revathi - Int J Comput Appl, 2013 - Citeseer
Data analysis is an important functionality in cloud computing which allows a huge amount
of data to be processed over very large clusters. Hadoop is a software framework for large …
of data to be processed over very large clusters. Hadoop is a software framework for large …
Machine learning applied to accelerate energy consumption models in computing simulators
GG Castañé, A Calderón Mateos - 2019 - cora.ucc.ie
The ever-increasing growth of data centres and fog resources makes difficult for current
simulation frameworks to model large computing infrastructures. Therefore, a major trade-off …
simulation frameworks to model large computing infrastructures. Therefore, a major trade-off …
Fuzzy based map reduce technique for energy efficiency in multi core cloud computing
Multi-core systems are built on a number of processors and have their own memories. Multi-
core processing is like parallel processing because it makes a number of tasks to run at the …
core processing is like parallel processing because it makes a number of tasks to run at the …
[PDF][PDF] Machine learning applied to accelerate energy consumption models in
GG Castañé, A Calderón Mateos - 2019 - academia.edu
The ever-increasing growth of data centres and fog resources makes difficult for current
simulation frameworks to model large computing infrastructures. Therefore, a major trade-off …
simulation frameworks to model large computing infrastructures. Therefore, a major trade-off …
[PDF][PDF] Herramientas para el desarrollo de aplicaciones científicas: Estudio Comparativo.
JJ Lozano Buitrago - 2017 - repositoriodspace.unipamplona.edu …
El desarrollo de software es algo que ha venido evolucionando a medida que avanza el
tiempo, así mismo van evolucionando las herramientas necesarias para llevar acabo dicho …
tiempo, así mismo van evolucionando las herramientas necesarias para llevar acabo dicho …
Cost-benefit analysis and exploration of cost-energy-performance trade-offs in scientific computing infrastructures
In this work, we demonstrate how a cost-benefit analysis of different scenarios reveals
insights into trade-offs between cost, performance, and energy for specific scientific …
insights into trade-offs between cost, performance, and energy for specific scientific …
[图书][B] Adapting Spring Index Model to the Cloud: A Case of Google Earth Engine
RP Munde - 2015 - essay.utwente.nl
The research explores the prospects of cloud computing approach for adapting the Spring
Index model on a continental scale. The phenomenon of first day of occurrence of leaf gives …
Index model on a continental scale. The phenomenon of first day of occurrence of leaf gives …