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영어

A multi-tenant Software as a Service (SaaS) application delivers customized run-time application to each tenant using a single application. Multi-tenancy offers several advantages including quick application deployment, reduced application maintenance, effective version control, and much more. However, handling large datacenter resources and providing better Quality of Service (QoS) is a major challenge for SaaS providers. SaaS application have unstable load based on tenant user’s demand. In a typical multitenant application security, reliability and energy efficiency play an important role. However, these aspects are largely ignored while focusing on the performance of the application. In this paper we propose a novel application’s component based multivariable architecture for multi-tenant Software as a Service (SaaS) application. Instances of application’s components are created at component level and dynamically scaled based on the component’s load considering security, reliability and energy based runtime factors applying multi-criteria Zionts–Wallenius optimization method. Our evaluation and discussions show that the proposed multi-instance Towards Multivariable Architecture (TMA) offers enhanced application load distribution and at the same time offers improved application response time and conserves energy in datacenter.