Autonomic Computing and Evolution of SaaS Systems

Nadir Kamal Salih Idries

ISBN 10: 6138966783 / ISBN 13: 9786138966784

Published by Scholars' Press, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - SaaS software model is opposed to the traditional software model, which is purchased and installed on personal computers. SaaS is growing exponentially and numerous enterprises of all sizes can generate major performance improvements and cost savings through its application. This kind of application is a far more attractive economic model than the perpetual license model. The goal of the autonomic management is to develop applications and systems to manage themselves based on high perspective guidance from humans. There have been many challenges to research and development of autonomic algorithms for the QoS improvement and evolution of the SaaS applications. And the SaaS adaptability to changes of the environment and requirements are enhanced accordingly. Moreover, the performance of the SaaS system and the ability to control the SaaS services can be improved by sharing the workflow among SaaS Modell.

Seller Inventory # 9786138966784

Bibliographic Details

• Title: Autonomic Computing and Evolution of SaaS Systems
• Publisher: Scholars' Press
• Publication Date: 2021
• Language: English
• ISBN 10: 6138966783
• ISBN 13: 9786138966784
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 8D millimeters 220 millimeters width by 150 millimeters height by 8 millimeters depth
• Weight: 215 grams

About this title

Synopsis

SaaS software model is opposed to the traditional software model, which is purchased and installed on personal computers. SaaS is growing exponentially and numerous enterprises of all sizes can generate major performance improvements and cost savings through its application. This kind of application is a far more attractive economic model than the perpetual license model. The goal of the autonomic management is to develop applications and systems to manage themselves based on high perspective guidance from humans. There have been many challenges to research and development of autonomic algorithms for the QoS improvement and evolution of the SaaS applications. And the SaaS adaptability to changes of the environment and requirements are enhanced accordingly. Moreover, the performance of the SaaS system and the ability to control the SaaS services can be improved by sharing the workflow among SaaS Modell.