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Resource Management for Big Data Platforms 2016
- Florin Pop, Joanna Kolodziej, Beniamino Di Martino:
Resource Management for Big Data Platforms - Algorithms, Modelling, and High-Performance Computing Techniques. Computer Communications and Networks, Springer 2016, ISBN 978-3-319-44880-0
Architecture of Big Data Platforms and Applications
- Marco Gribaudo, Mauro Iacono, Francesco Palmieri:
Performance Modeling of Big Data-Oriented Architectures. 3-34 - Mihaela-Catalina Nita, Mihaela Vasile, Florin Pop, Valentin Cristea:
Workflow Scheduling Techniques for Big Data Platforms. 35-53 - Viktor Medvedev, Olga Kurasova:
Cloud Technologies: A New Level for Big Data Mining. 55-67 - Rocco Aversa, Luca Tasquier:
Agent-Based High-Level Interaction Patterns for Modeling Individual and Collective Optimizations Problems. 69-81 - Weidong Bao, Ji Wang, Xiaomin Zhu:
Maximize Profit for Big Data Processing in Distributed Datacenters. 83-95 - Michal P. Karpowicz, Ewa Niewiadomska-Szynkiewicz, Piotr Arabas, Andrzej Sikora:
Energy and Power Efficiency in Cloud. 97-127 - Ionut Anghel, Tudor Cioara, Ioan Salomie:
Context-Aware and Reinforcement Learning-Based Load Balancing System for Green Clouds. 129-144
Big Data Analysis
- Dongfang Zhao, Akash Mahakode, Sandip Lakshminarasaiah, Ioan Raicu:
High-Performance Storage Support for Scientific Big Data Applications on the Cloud. 147-170 - Nayat Sánchez-Pi, Luis Martí, José Manuel Molina, Ana Cristina Bicharra Garcia:
Information Fusion for Improving Decision-Making in Big Data Applications. 171-188 - Nitin Sukhija, Alessandro Morari, Ioana Banicescu:
Load Balancing and Fault Tolerance Mechanisms for Scalable and Reliable Big Data Analytics. 189-203 - Bunjamin Memishi, Shadi Ibrahim, María S. Pérez, Gabriel Antoniu:
Fault Tolerance in MapReduce: A Survey. 205-240 - Agnieszka Jakobik:
Big Data Security. 241-261
Biological and Medical Big Data Applications
- Edvard Pedersen, Lars Ailo Bongo:
Big Biological Data Management. 265-277 - Suejb Memeti, Sabri Pllana, Joanna Kolodziej:
Optimal Worksharing of DNA Sequence Analysis on Accelerated Platforms. 279-309 - Luca Agnello, Albert Comelli, Salvatore Vitabile:
Feature Dimensionality Reduction for Mammographic Report Classification. 311-337 - Rui Camacho, Jorge G. Barbosa, Altino M. Sampaio, João Ladeiras, Nuno A. Fonseca, Vítor Santos Costa:
Parallel Algorithms for Multirelational Data Mining: Application to Life Science Problems. 339-363
Social Media Applications
- R. Oguz Selvitopi, Kadir Akbudak, Cevdet Aykanat:
Parallelization of Sparse Matrix Kernels for Big Data Applications. 367-382 - Irene Kilanioti, George A. Papadopoulos:
Delivering Social Multimedia Content with Scalability. 383-399 - Vlad Serbanescu, Keyvan Azadbakht, Frank S. de Boer:
A Java-Based Distributed Approach for Generating Large-Scale Social Network Graphs. 401-417 - Irene Kilanioti, George A. Papadopoulos:
Predicting Video Virality on Twitter. 419-439 - Cristian Chilipirea, Andreea-Cristina Petre, Ciprian Dobre:
Big Data Uses in Crowd Based Systems. 441-459 - Ioannis Vakintis, Spyros Panagiotakis, George Mastorakis, Constandinos X. Mavromoustakis:
Evaluation of a Web Crowd-Sensing IoT Ecosystem Providing Big Data Analysis. 461-488 - Voichita Iancu, Silvia Cristina Stegaru, Dan Stefan Tudose:
A Smart City Fighting Pollution, by Efficiently Managing and Processing Big Data from Sensor Networks. 489-513
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