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Cloud Computing and Big Data

Overview of attention for book
Cover of 'Cloud Computing and Big Data'

Table of Contents

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    Book Overview
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    Chapter 1 Detecting Time-Fragmented Cache Attacks Against AES Using Performance Monitoring Counters
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    Chapter 2 Hybrid Elastic ARM&Cloud HPC Collaborative Platform for Generic Tasks
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    Chapter 3 Benchmark Based on Application Signature to Analyze and Predict Their Behavior
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    Chapter 4 Evaluating Performance of Web Applications in (Cloud) Virtualized Environments
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    Chapter 5 Intelligent Distributed System for Energy Efficient Control
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    Chapter 6 Heap-Based Algorithms to Accelerate Fingerprint Matching on Parallel Platforms
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    Chapter 7 An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing
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    Chapter 8 Data Analytics for the Cryptocurrencies Behavior
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    Chapter 9 Measuring (in)variances in Convolutional Networks
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    Chapter 10 Database NewSQL Performance Evaluation for Big Data in the Public Cloud
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    Chapter 11 A Study of Non-functional Requirements in Apps for Mobile Devices
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    Chapter 12 Mobile and Wearable Computing in Patagonian Wilderness
Attention for Chapter 3: Benchmark Based on Application Signature to Analyze and Predict Their Behavior
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Citations

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3 Mendeley
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Chapter title
Benchmark Based on Application Signature to Analyze and Predict Their Behavior
Chapter number 3
Book title
Cloud Computing and Big Data
Published by
Springer, Cham, June 2019
DOI 10.1007/978-3-030-27713-0_3
Book ISBNs
978-3-03-027712-3, 978-3-03-027713-0
Authors

Felipe Tirado, Alvaro Wong, Dolores Rexachs, Emilio Luque

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 67%
Professor > Associate Professor 1 33%
Readers by discipline Count As %
Computer Science 1 33%
Unknown 2 67%

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