Reliability Aspect of Cloud Computing Environment [electronic resource] / by Vikas Kumar, R. Vidhyalakshmi.
Tipo de material: TextoEditor: Singapore : Springer Singapore : Imprint: Springer, 2018Edición: 1st ed. 2018Descripción: XI, 170 p. 24 illus., 5 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789811330230Tema(s): Software engineering | Computer engineering | Computers | Computer simulation | Software Engineering | Computer Engineering | The Computing Profession | Simulation and ModelingFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 005.1 Clasificación LoC:QA76.758Recursos en línea: Libro electrónicoTipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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Libro Electrónico | Biblioteca Electrónica | Colección de Libros Electrónicos | 1 | No para préstamo |
Acceso multiusuario
Chapter 1. Cloud Computing -- Chapter 2. Cloud Reliability -- Chapter 3. Reliability Metrics -- Chapter 4. Reliability Metrics Formulations -- Chapter 5. Reliability Model -- Chapter 6. Reliability Evaluation. .
This book presents both qualitative and quantitative approaches to cloud reliability measurements, together with specific case studies to reflect the real-time reliability applications. Traditional software reliability models cannot be used for cloud reliability evaluation due to the changes in the development architecture and delivery designs. The customer-vendor relationship mostly comes to a close with traditional software installations, whereas a SaaS subscription is just a start of the customer-vendor relationship. Reliability of cloud services is normally presented in terms of percentage, such as 99.9% or 99.99%. However, this type of reliability measurement provides confidence only in the service availability feature and may cover all the quality attributes of the product. The book offers a comprehensive review of the reliability models suitable for different services and deployments to help readers identify the appropriate cloud products for individual business needs. It also helps developers understand customer expectations and, most importantly, helps vendors to improve their service and support. As such it is a valuable resource for cloud customers, developers, vendors and the researchers.
UABC ; Temporal ; 01/01/2021-12/31/2023.