Data-Centric Computing

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2017

Characterizing BigBench Queries, Hive, and Spark in Multi-cloud Environments

Lecture Notes in Computer SciencePerformance Evaluation and Benchmarking for the Analytics Era

N. Poggi, A. Montero, and D. Carrera
Topology-aware GPU scheduling for learning workloads in cloud environments

SC '17 Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

M. Amaral, J. Polo, D. Carrera, S. Seelam, and M. Steinder
Automatic Generation of Workload Profiles using Unsupervised Learning Pipelines

IEEE Transactions on Network and Service Management

D. Buchaca, J L. Berral, and D. Carrera
Topology-aware GPU scheduling for learning workloads in cloud environments

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis on - SC '17

M. Amaral, J. Polo, D. Carrera, S. Seelam, and M. Steinder
The Unavoidable Convergence of NFV, 5G, and Fog: A Model-Driven Approach to Bridge Cloud and Edge

IEEE Communications Magazine

F. van Lingen, M. Yannuzzi, A. Jain, R. Irons-Mclean, O. Lluch, D. Carrera, J. Luis Perez, A. Gutierrez, D. Montero, J. Marti, R. Maso, and J. Pedro Rodriguez
A New Era for Cities with Fog Computing

IEEE Internet Computing

M. Yannuzzi, F. van Lingen, A. Jain, O. Lluch Parellada, M. Mendoza Flores, D. Carrera, J. Luis Perez, D. Montero, P. Chacin, A. Corsaro, and A. Olive

2016

ALOJA: A Benchmarking and Predictive Platform for Big Data Performance Analysis

Proceedings of the Sixth Workshop on Big Data Benchmarking (6th WBDB)

N. Poggi, J L. Berral, and D. Carrera
Database Integrated Analytics using R: Initial Experiences with SQL-Server + R

Proceedings of the 2016 IEEE 16th International Conference on Data Mining Workshops

J L. Berral, and N. Poggi
The state of SQL-on-Hadoop in the Cloud

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2016)

N. Poggi, J L. Berral, T. Fenech, D. Carrera, J. Blakeley, U. Farooq Minhas, and N. Vujic

2015

Big Data Benchmark Compendium

Performance Evaluation and Benchmarking: Traditional to Big Data to Internet of Things - 7th TPC Technology Conference, TPCTC 2015

T. Ivanov, T. Rabl, M. Poess, A. Queralt, J. Poelman, N. Poggi, and J. Buell
From Performance Profiling to Predictive Analytics while Evaluating Hadoop Cost-Efficiency in ALOJA

Proceeding of the 2015 IEEE International Conference on Big Data

N. Poggi, J L. Berral, D. Carrera, A. Call, F. Gagliardi, R. Reinauer, N. Vujic, D. Green, and J. Blakeley
ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

J L. Berral, N. Poggi, D. Carrera, A. Call, R. Reinauer, and D. Green
ALOJA: A Framework for Benchmarking and Predictive Analytics in Big Data Deployments

IEEE Transactions on Emerging Topics in Computing

J L. Berral, N. Poggi, D. Carrera, A. Call, R. Reinauer, and D. Green
servIoTicy and iServe: A Scalable Platform for Mining the IoT

Proceedings of the 6th International Conference on Ambient Systems, Networks and Technologies (ANT-2015), the 5th International Conference on Sustainable Energy Information Technology (SEIT-2015)

Á. Villalba, J. Luis Pérez, D. Carrera, C. Pedrinaci, and L. Panziera
Unsupervised Learning of Dynamic Resource Provisioning Policies for Cloud-Hosted Multitier Web Applications

IEEE Systems Journal

W. Iqbal, M. N. Dailey, and D. Carrera
Spark Deployment and Performance Evaluation on the MareNostrum Supercomputer

Big Data (Big Data), 2015 IEEE International Conference on

R. Tous, A. Gounaris, C. Tripiana, J. Torres, S. Girona, E. Ayguade, J. Labarta, Y. Becerra, D. Carrera, and M. Valero
Performance Evaluation of Microservices Architectures using Containers

14th IEEE International Symposium on Network Computing and Applications (IEEE NCA15)

M. Amaral, J. Polo, D. Carrera, I. Mohomed, and M. Unuvar

2014

ALOJA: A systematic study of Hadoop deployment variables to enable automated characterization of cost-effectiveness

2014 IEEE International Conference on Big Data (Big Data)

N. Poggi, D. Carrera, A. Call, S. Mendoza, Y. Becerra, J. Torres, E. Ayguade, F. Gagliardi, J. Labarta, R. Reinauer, N. Vujic, D. Green, and J. Blakeley
Adaptive MapReduce Scheduling in Shared Environments

14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing

J. Polo, Y. Becerra, D. Carrera, J. Torres, E. Ayguade, and M. Steinder
Profit-Aware Cloud Resource Provisioner for Ecommerce

2014 IEEE International Conference on Cluster Computing

N. Poggi, D. Carrera, E. Ayguade, and J. Torres

ALOJA: A systematic study of Hadoop deployment variables to enable automated characterization of cost-effectiveness

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