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 …

[PDF][PDF] Analysis of Research Data using MapReduce Word Count Algorithm

M Sahane, S Sirsat, R Khan - Internl. Journal of Advanced …, 2015 - researchgate.net
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 …

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 …

[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 …

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 …

Fuzzy based map reduce technique for energy efficiency in multi core cloud computing

P Gupta, K Kaur - 2016 International Conference on Next …, 2016 - ieeexplore.ieee.org
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 …

[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 …

[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 …

Cost-benefit analysis and exploration of cost-energy-performance trade-offs in scientific computing infrastructures

P Llopis, GG Castané, J Carretero - Procedia Computer Science, 2016 - Elsevier
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 …

[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 …