Modeling and Self-Configuring SaaS Application

TL;DR

This paper introduces a new model for SaaS applications with a self-configuration algorithm that improves performance by dynamically selecting optimal configurations through feature models and interactive communication.

Contribution

It proposes a novel three-level SaaS model with an integrated self-configuration algorithm based on feature models and XML communication.

Findings

Enhanced performance through dynamic configuration selection

Effective use of feature models for SaaS management

Validated with an online booking example

Abstract

The main objectives of SaaS application are to make the management and control of software easier and take the management strain away from consumers. However, it also leads to software services available globally and this has been realized in our paper by designing a new model for SaaS application. The three levels we have classified in our model easy adapted to workflow and services. From the application layers meat-model description we discovered a new algorithm for the self-configuration of SaaS application. We used a feature model to define the variation of our model's management levels. The Xml file obtained from the feature model gave interactive communication between three levels and our new self-configuration algorithm. That increased the performance by selecting from the web a suitable configuration for every level. We have explained all the processes by an online booking example. Finally we present a conclusion and future work.