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  • Book
  • Open Access
  • © 2020

Managing Distributed Cloud Applications and Infrastructure

A Self-Optimising Approach

Palgrave Macmillan
  • Explores the use of novel technologies in reliable capacity provisioning across distributed clouds

  • Presents a state-of-the-art approach and reference model for reliable capacity provisioning in distributed clouds

  • Includes data analytics (including machine learning), modelling, simulation, and application and infrastructure optimisation across a cloud-to-edge continuum

  • Provides case studies on novel approaches to application and infrastructure capacity planning in cloud computing, telecommunications, smart cities and big data analytics

Buying options

Hardcover Book USD 59.99
Price excludes VAT (USA)

Table of contents (6 chapters)

  1. Front Matter

    Pages i-xxiii
  2. Towards an Architecture for Reliable Capacity Provisioning for Distributed Clouds

    • Jörg Domaschka, Frank Griesinger, Mark Leznik, Per-Olov Östberg, Keith A. Ellis, Paolo Casari et al.
    Pages 1-25Open Access
  3. RECAP Data Acquisition and Analytics Methodology

    • Paolo Casari, Jörg Domaschka, Rafael García Leiva, Thang Le Duc, Mark Leznik, Linus Närvä
    Pages 27-50Open Access
  4. Application Optimisation: Workload Prediction and Autonomous Autoscaling of Distributed Cloud Applications

    • Per-Olov Östberg, Thang Le Duc, Paolo Casari, Rafael García Leiva, Antonio Fernández Anta, Jörg Domaschka
    Pages 51-68Open Access
  5. Application Placement and Infrastructure Optimisation

    • Radhika Loomba, Keith A. Ellis
    Pages 69-92Open Access
  6. Simulating Across the Cloud-to-Edge Continuum

    • Minas Spanopoulos-Karalexidis, Christos K. Filelis Papadopoulos, Konstantinos M. Giannoutakis, George A. Gravvanis, Dimitrios Tzovaras, Malika Bendechache et al.
    Pages 93-115Open Access
  7. Case Studies in Application Placement and Infrastructure Optimisation

    • Miguel Angel López-Peña, Hector Humanes, Johan Forsman, Thang Le Duc, Peter Willis, Manuel Noya
    Pages 117-160Open Access
  8. Back Matter

    Pages 161-163

About this book

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 simply so complex that it is no longer realistic for IT teams to manually foresee the potential issues and manage the dynamism and dependencies across an increasing inter-dependent chain of service provision. 

This Open Access Pivot explores these challenges and offers a solution for the intelligent and reliable management of physical infrastructure and the optimal placement of applications for the provision of services on distributed clouds. This book provides a conceptual reference model for reliable capacity provisioning for distributed clouds and discusses how data analytics and machine learning, application and infrastructure optimization, and simulation can deliver quality of service requirements cost-efficiently in this complex feature space. These are illustrated through a series of case studies in cloud computing, telecommunications, big data analytics, and smart cities. 


  • Analytics Models
  • Data Acquisition
  • Application Optimisation
  • Infrastructure
  • Distributed Clouds
  • digital business

Editors and Affiliations

  • Irish Institute of Digital Business, DCU Business School, Dublin, Ireland

    Theo Lynn

  • Graziadio Business School, Pepperdine University, Malibu, USA

    John G. Mooney

  • Institute of Information Resource Management, Ulm University, Ulm, Germany

    Jörg Domaschka

  • Intel Labs Europe, Dublin, Ireland

    Keith A. Ellis

About the editors

Theo Lynn is Full Professor of Digital Business at DCU Business School, Ireland and Director of the Irish Institute of Digital Business.

John G. Mooney is Associate Professor of Information Systems and Technology Management at the Pepperdine Graziadio Business School, United States.

Jörg Domaschka is Senior Researcher and Group Manager at the Institute of Information Resource Management at Ulm University, Germany and Coordinator of the Horizon 2020 RECAP project.

Keith A. Ellis is Senior Research Scientist and Manager of Intel Labs Europe, Ireland.

Bibliographic Information

Buying options

Hardcover Book USD 59.99
Price excludes VAT (USA)