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Operationalizing Multi-Cloud Environments

Overview of attention for book
Operationalizing Multi-Cloud Environments
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Invocation of Multi-Cloud Infrastructure Services in Web-Based Semantic Discovery System
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    Chapter 2 Hybrid Machine Learning Models for Distributed Biological Data in Multi-Cloud Environment
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    Chapter 3 Multi-Cloud Path Planning of Unmanned Aerial Vehicles with Multi-Criteria Decision Making: A Literature Review
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    Chapter 4 Estimation of Sharing Dependencies in Personal Storage Clouds Using Ensemble Learning Approaches
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    Chapter 5 Resource Management Framework Using Deep Neural Networks in Multi-Cloud Environment
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    Chapter 6 SLA-Based Group Tasks Max-Min (GTMax-Min) Algorithm for Task Scheduling in Multi-Cloud Environments
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    Chapter 7 Workload Balancing in a Multi-Cloud Environment: Challenges and Research Directions
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    Chapter 8 Mediator-Based Effective Resource Allotment on Multi-Clouds
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    Chapter 9 A Robust Communication Strategy for Inter-Cloud Networking Environment through Augmented Network-Aware and Multiparameter Assistance
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    Chapter 10 An Intense Study on Intelligent Service Provisioning for Multi-Cloud Based on Machine Learning Techniques
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    Chapter 11 Fuzzy-Based Workflow Scheduling in Multi-Cloud Environment
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    Chapter 12 Performance Evaluation and Comparison of Hypervisors in a Multi-Cloud Environment
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    Chapter 13 A Manifesto for Modern Fog and Edge Computing: Vision, New Paradigms, Opportunities, and Future Directions
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    Chapter 14 Functionalities and Approaches of Multi-cloud Environment
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    Chapter 15 Quality, Security Issues, and Challenges in Multi-cloud Environment: A Comprehensive Review
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    Chapter 16 Trust Management Framework for Handling Security Issues in Multi-cloud Environment
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    Chapter 17 Intelligent Workflow Adaptation in Cognitive Enterprise: Design and Techniques
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    Chapter 18 Broker-Based Collaborative Auction Method for Resource Scheduling in Cloud Computing
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    Chapter 19 An Effective Cloud Broker Framework for Knowledge Discovery in Multi-Cloud Environment
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    Chapter 20 Effective Deployment of Multi-cloud Customizable Chatbot Application for COVID-19 Datasets
Attention for Chapter 5: Resource Management Framework Using Deep Neural Networks in Multi-Cloud Environment
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Citations

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Readers on

mendeley
10 Mendeley
Summary Dimensions citations
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Chapter title
Resource Management Framework Using Deep Neural Networks in Multi-Cloud Environment
Chapter number 5
Book title
Operationalizing Multi-Cloud Environments
Published by
Springer, Cham, September 2021
DOI 10.1007/978-3-030-74402-1_5
Book ISBNs
978-3-03-074401-4, 978-3-03-074402-1
Authors

Sangeetha, S. Brilly, Sabitha, R., Dhiyanesh, B., Kiruthiga, G., Yuvaraj, N., Raja, R. Arshath

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 20%
Student > Ph. D. Student 1 10%
Lecturer 1 10%
Other 1 10%
Unknown 5 50%
Readers by discipline Count As %
Unspecified 2 20%
Arts and Humanities 1 10%
Computer Science 1 10%
Engineering 1 10%
Unknown 5 50%

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