Towards Reliable Multi-Tenant Software as-a Service Application

Samrajesh, M. D.; Gopalan, N. P.

doi:10.1166/asl.2015.5757

Cited by 2 publications

(2 citation statements)

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“…Scaling application efficiently in cloud is a challenge [27]. There is a lack of approaches for optimizing cloud service provisioning and application deployment, and also satisfy consumers' QoS expectations [28].…”

Section: Related Workmentioning

confidence: 99%

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Towards Multivariable Architecture for SaaS Multi-tenant Applications

Samrajesh¹,

Gopalan

2016

IJSEIA

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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.

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Section: Related Workmentioning

confidence: 99%

“…Health of critical devices such as hard disks, capacity and failure of CPU(s), and primary memory are considered. 3) Network Reliability (λ3) includes redundant path, communication reliability, and bandwidth [28].…”

Section: Algorithm 1 Active Scale Implementationmentioning

confidence: 99%