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    Cloud Brokering
    Cloud Brokering
    Cloud Brokering
    Ebook168 pages1 hour

    Cloud Brokering

    By Felipe Díaz-Sánchez

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    About this ebook

    El servicio de intermediación en la nube es un paradigma de servicio que proporciona interoperabilidad y portabilidad de aplicaciones a través de múltiples proveedores de nube. El atractivo de la intermediación en la nube depende de los nuevos servicios y de las instalaciones informáticas ampliadas que mejoran o complementan los ya ofrecidos por los proveedores de nube aislados. Estos servicios brindan un nuevo valor a las pequeñas y medianas empresas (PYMES) y grandes empresas y hacen que los proveedores de nube sean más competitivos. Hoy en día, a nivel de infraestructura, los intermediarios de servicios en la nube actúan como intermediarios entre los usuarios finales y los proveedores de nube. El intermediario de servicios en la nube proporciona un punto único para el consumo de servicios con el fin de evitar el bloqueo del proveedor, aumentar la resiliencia de las aplicaciones, proporcionar facturación unificada y simplificar los procesos de gobernanza, adquisición y liquidación a través de múltiples proveedores en la nube. En el futuro, los intermediarios de servicios en la nube ofrecerán servicios avanzados de valor agregado y usarán modelos de precios atractivos para capturar a posibles consumidores de nube. La finalidad este libro es proponer servicios avanzados de valor agregado y un modelo de precios para los intermediarios de servicios en la nube. Este libro tiene tres objetivos: • El primero es presentar una figura única de mérito del rendimiento de las máquinas virtuales de la nube basado en el perfil de aplicación. • El segundo es proponer un enfoque exacto para la asignación de máquinas virtuales a través de múltiples proveedores de nube con base en diferentes criterios de optimización. • El tercero es describir el modelo de precios para la intermediación de servicios en la nube, llamado pay-asyou-book.
    LanguageEnglish
    PublisherUniversidad Santo Tomás
    Release dateOct 10, 2016
    ISBN9789586319621
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      Book preview

      Cloud Brokering - Felipe Díaz-Sánchez

      Díaz-Sánchez, Felipe

      Cloud brokering: New value-added services and pricing policies / Felipe Díaz-Sánchez - Bogotá: Universidad Santo Tomás, 2016.

      vii, 115 páginas; ilustraciones, gráficas.

      Incluye referencias bibliográficas (páginas 99-108)

      ISBN 978-958-631-961-4

      1. Almacenamiento virtual (computación) 2. Comercio electrónico

      3. Computación en la nube I. Universidad Santo Tomás (Colombia).

      CDD 004.67820688                                CO-BoUST

      © Felipe Díaz-Sánchez 

      © Universidad Santo Tomás 

      Ediciones USTA

      Carrera 9 No.51-11 

      Edificio Luis J. Torres, sótano 1 

      Bogotá, D. C., Colombia 

      Teléfono: (+571) 5878797 ext. 2991

      [email protected]

      http://ediciones.usta.edu.co

      Directora editorial

      Matilde Salazar Ospina 

      Coordinación de libros 

      Karen Grisales Velosa 

      Asistente editorial 

      Andrés Felipe Andrade 

      Diagramación 

      Julián E. Morales Ortega 

      Diseño de cubierta

      Kilka Diseño Gráfico

      Hecho el depósito que establece la ley

      ISBN: 978-958-631-961-4

      Primera edición: 2016

      Todos los derechos reservados. Se prohíbe la reproducción total o parcial de esta obra, por cualquier medio, sin la autorización previa por escrito de los titulares.

      To Leta and Days.

      Contents

      About this book

      Cloud brokering

      Part I. Value-added services in cloud brokering

      Cloud performance and placement in cloud brokering

      Introduction

      Cloud performance evaluation

      Motivations and challenges

      Studies related to cloud providers performance evaluation

      Cloud Virtual Machine (VM) characterization

      Placement in cloud brokering

      Non-functional requirements-based placement

      Application aware placement

      Conclusion

      Towards a figure of merit for cloud performance

      Introduction

      Performance evaluation

      Evaluation methodology

      Experimental setup

      Provisioning time

      Computation benchmarks performance

      Memory benchmarks performance

      Storage benchmarks performance

      Variability

      Figure of merit of VM cloud performance

      Mean and radar plot as figures of merit

      Simple figure of merit

      Figure of merit based on Analytic Hierarchy Process

      Case study: CPU-intensive application

      Summary

      An exact approach for optimizing placement in cloud brokering

      Introduction

      Goal programming

      An exact approach for the Placement problem

      Parameters

      Variables

      Goal

      Constraints

      Case study: Online trading platform

      Part II. A new pricing model in cloud brokering

      The Pay-as-you-book pricing model

      Introduction

      Pricing models in cloud computing

      Advance Reservations

      Advance Reservation specified by cloud providers

      Advance Reservation specified by end-users

      Pay-as-you-book

      Initial scheduling of Advance Reservations

      Pricing and rewarding end-users

      Resource allocation policies

      Case Study: A Virtual cloud Provider maximizing revenues through the Pay-as-you-book pricing model

      Experimental setup

      Results and analysis

      Summary

      Conclusion and future works

      Appendix A. Studies related to cloud providers performance

      Appendix B. Cloud performance evaluation: details and extended results

      Related issues to the performance evaluation

      VM configurations

      Benchmark duration

      Performance-price correlation with a simple figure of merit of Cloud performance

      Correlation among VM sizes from different cloud providers

      Correlation among different VM sizes from a single cloud provider

      Bibliography

      List of Figures

      List of Tables

      About this book

      Service arbitrage enables advanced services in cloud brokering by taking advantage of two or more cloud provider offers. This allows cloud brokers to simplify the vast number of offers by categorizing the features and benefits of each cloud provider in order to match consumer needs with an ideal set of cloud providers. In the first part of this book entitled Value-added services in cloud brokering, a comprehensive, state of the art study has been carried out on cloud performance evaluations and placement in cloud brokering (Chapter 1). Then, a method is proposed to calculate cloud performance through a single figure of merit based on the mapping of the physical features of a Virtual Machine (VM) to their respective performance capacities (Chapter 2). Finally, an exact placement approach for optimizing the distribution of cloud infrastructure across multiple providers is proposed (Chapter 3). Parameters such as price, VM configuration, VM performance, network latency and availability are considered for that purpose.

      Nowadays, pay-as-you-go and reserved pricing dominate the way consumers acquire cloud resources from legacy cloud providers at the infrastructure level. However, the introduction of cloud brokers may induce the commoditization of cloud infrastructures. Facing such an evolution, new pricing models are necessary to capture potential consumers or untapped market segments. The second part of this book entitled A new pricing model for cloud brokering focuses on the design of a pricing model for cloud brokering, called pay-as-you-book (Chapter 4). Pay-as-you-book is based on two types of information. The first type consists of the forecast of users’ job requests. The second one consists of the ability of cloud brokers to take advantage of such advanced reservations. With this aim in view, a study comparing three resource allocation policies under pay-as-you-book is carried out. The aim of this book is to contribute to the design of new value-added services and pricing models for cloud brokering. The majority of the investigations and original results presented in this manuscript have been achieved and obtained in the context of the CompatibleOne [1] research project supported by the French Ministry of Industry. Its objective was to demonstrate the feasibility of a cloud brokering intermediation platform integrating and adapting the various software solutions proposed by the industrial and academic partners of the project. This platform provides a single point for service consumption in order to avoid vendor lock-in. This book has three objectives:

      The first one is to present a single figure of merit for cloud VMs performance based on the application profile.

      The second one is to propose an exact approach for allocation of VMs across multiple cloud providers based on different optimization criteria.

      The third one is to describe a pricing model for cloud brokering, called pay-as-you-book.

      The contribution of this book can be itemized as the following:

      A method to calculate a figure of merit for VM cloud performance. The originality of this figure of merit is to offer a single value to express VM cloud performance that is based on the type of application to be deployed. Thus, end-users may in a straightforward manner compare and select the best cloud provider in which to deploy an application.

      The formulation of Mixed-Integer Linear Programming for placement of VMs across multiple cloud providers. The originality of this approach is in associating the heterogeneity of cloud providers’ offers with their respective performance. This approach may be applied to the optimization of cost, performance, cost-performance and disaster recovery scenarios.

      The description of pay-as-you-book, a pricing model between pay-as-you-go and subscription. Pay-as-you-book consists of paying and reserving time-slots of VMs in advance without a fixed fee to subscribe to the service and without a long-term commitment, avoiding vendor lock-in, while obtaining lower prices than in pay-as-you-go. Pay-as-you-book may be applied in scenarios with predictable workloads. Through simulations, it has been shown why a model such as pay-as-you-book is not convenient

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