Managing Distributed Cloud Applications and Infrastructure : : A Self-Optimising Approach / / edited by Theo Lynn, John G. Mooney, Jörg Domaschka, Keith A. Ellis.
The emergence of the Internet of Things (IoT), combined with greater heterogeneity not only online in cloud computing architectures but across the cloud-to-edge continuum, is introducing new challenges for managing applications and infrastructure across this continuum. The scale and complexity is si...
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| Superior document: | Palgrave Studies in Digital Business & Enabling Technologies, |
|---|---|
| HerausgeberIn: | |
| Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Palgrave Macmillan,, 2020. |
| Year of Publication: | 2020 |
| Edition: | 1st ed. 2020. |
| Language: | English |
| Series: | Palgrave Studies in Digital Business & Enabling Technologies,
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| Physical Description: | 1 online resource (XXIII, 163 p. 62 illus.) |
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Table of Contents:
- Chapter 1
- Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds
- Chapter 2
- RECAP Data Acquisition and Analytics Methodology
- Chapter 3 - Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications
- Chapter 4 - Application Placement and Infrastructure Optimisation
- Chapter 5 - Simulating Across the Cloud-to-Edge Continuum
- Chapter 6 - Case Studies in Application Placement and Infrastructure Optimisation.