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Operationalizing Multi-Cloud Environments

Overview of attention for book
Cover of 'Operationalizing Multi-Cloud Environments'

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 7: Workload Balancing in a Multi-Cloud Environment: Challenges and Research Directions
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Citations

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Chapter title
Workload Balancing in a Multi-Cloud Environment: Challenges and Research Directions
Chapter number 7
Book title
Operationalizing Multi-Cloud Environments
Published by
Springer, Cham, September 2021
DOI 10.1007/978-3-030-74402-1_7
Book ISBNs
978-3-03-074401-4, 978-3-03-074402-1
Authors

Rajeshwari, B. S., Dakshayini, M., Guruprasad, H. S.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 33%
Professor 1 17%
Student > Ph. D. Student 1 17%
Lecturer 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 4 67%
Arts and Humanities 1 17%
Unknown 1 17%