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Microsoft Azure : planning, deploying, and managing your data center in the cloud by Copeland, Marshall, Soh, Julian, Puca, Anthony, Manning, Mike, Gollob, David

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VMware cloud on AWS insights on the first VMware enterprise-proven SaaS solution by Lombard, Christophe

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Cloud computing and service Science : 7th International Conference, CLOSER 2017, Porto, Portugal, April 24-26, 2017, Revised selected papers by International Conference on Cloud Computing and Services Science Porto, Portugal, SpringerLink (Online service)

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Advances on P2P, parallel, grid, cloud and internet computing : proceedings of the 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2021) by International Conference on P2P, Parallel, Grid, Cloud, and Internet Computing Fukuoka-ken, Japan, SpringerLink (Online service)

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Cloud computing for engineering applications by Stradi-Granados, Benito A.

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Software architecture for big data and the cloud First edition. by ScienceDirect (Online service)

Contents: “…Note continued: 15.3.1.Necessity for Fault-Tolerance in Distributed Systems -- 15.4.Taxonomy of Faults -- 15.5.Taxonomy of Fault-Tolerant Scheduling Algorithms -- 15.5.1.Replication -- 15.5.2.Resubmission -- 15.5.3.Checkpointing -- 15.5.4.Provenance -- 15.5.5.Rescue Workflow -- 15.5.6.User-Defined Exception Handling -- 15.5.7.Alternate Task -- 15.5.8.Failure Masking -- 15.5.9.Slack Time -- 15.5.10.Trust-Based Scheduling Algorithms -- 15.6.Modeling of Failures in Workflow Management Systems -- 15.7.Metrics Used to Quantify Fault-Tolerance -- 15.8.Survey of Workflow Management Systems and Frameworks -- 15.8.1.Askalon -- 15.8.2.Pegasus -- 15.8.3.Triana -- 15.8.4.UNICORE 6 -- 15.8.5.Kepler -- 15.8.6.Cloudbus Workflow Management System -- 15.8.7.Traverna -- 15.8.8.The e-Science Central (e-SC) -- 15.8.9.SwinDeW-C -- 15.8.10.Big Data Workflow Frameworks: MapReduce, Hadoop, and Spark -- 15.8.11.Other Workflow Management Systems -- 15.9.Tools and Support Systems.…”
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Oracle high availability, disaster recovery, and cloud services : explore RAC, data guard, and cloud technology by Kumar, Y. V. Ravi, Basha, Nassyam, K. M., Krishna Kumar, Śarmā, Bālamukunda, 1889-1956, Kerekovski, Konstantin

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IoT and cloud computing for societal good by SpringerLink (Online service)

Contents: “…Intro -- Preface -- Technical Programme Committee -- Editorial Advisory Board -- Contents -- About the Editors -- Part I Tackling Climate Change -- 1 Towards Energy Efficient Cloud Computing: Research Directions and Methodological Approach -- 1.1 Introduction -- 1.2 Background Motivation -- 1.3 Power Consumption and Energy Efficient Dynamic VM Consolidation -- 1.4 Defining Objective and Setting Research Questions -- 1.5 Methodological Approach -- 1.6 Conclusion -- References -- 2 IoT-Based Smart Air Quality Control System: Prevention to COVID-19 -- 2.1 Introduction -- 2.1.1 Motivation -- 2.1.2 Contribution -- 2.1.3 Organization -- 2.2 Related Work -- 2.3 Proposed Model -- 2.4 Results and Discussion -- 2.5 Conclusion and Future Scope -- References -- 3 Forecasting of Air Pollution via a Low-Cost IoT-Based Monitoring System -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Methodology -- 3.3.1 Data -- 3.3.2 Models -- 3.3.3 Model Calibration -- 3.4 Result -- 3.5 Discussion and Future Work -- References -- 4 Internet of Things Based Best Fruit Segregation and Taxonomy System for Smart Agriculture -- 4.1 Introduction -- 4.2 Literature Review -- 4.3 Methodology -- 4.4 Software/Hardware Tool Used -- 4.4.1 Software Part -- 4.4.2 Hardware Part -- 4.5 Design and Implementation -- 4.5.1 Background Separation of Image -- 4.5.2 Calculating the Center of Blob -- 4.5.3 Calculating Black Dots -- 4.5.4 Fourier Transform -- 4.6 Conclusion -- References -- 5 Toward the Creation of a Web-Based Platform "Bike Sharing" in the Local Transport System -- 5.1 General Formulation of the Problem -- 5.2 Analysis of Recent Research and Publications -- 5.3 Selection of Previously Unsolved Parts of the Overall Problem -- 5.4 Statement of Research Tasks -- 5.5 Material and Research Results -- 5.6 Conclusions -- References -- Part II Digital Health, Learning and Industry.…”
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