Samrajesh D. Mault
ABSTRACT
Growing complexity of cloud based interconnected systems have led to an increased complexity in datacenter resource management. Handling datacenter resources and providing uninterrupted service in a typical multitenant cloud application is a challenge. In this paper we present Autoscaling of Datacenter Servers (ADS) for multi-tenant Video on Demand (VoD) cloud application. In the proposed solution, video chunks are distributed in the servers considering various factors such as chunk-hit count, server capacity. Moreover, the underutilized servers are powered-off. We use Quality of Service (QoS) parameters startup latency and stalling events to perform comparative evaluation under three different scenarios based on the percentage of Mobile User Access (MUA). The proposed Autoscaling of Datacenter Servers (ADS) is compared with two existing multi-tenant architectures. Multi-tenant, secure, Load Disseminated SaaS architecture (MLD) and Towards Modeling a Variable Architecture for Multi-Tenant SaaS-Applications (MVA).
Our evaluation shows that at 50% MUA when proposed solution is compared with MVA and MLD its offers 7.69%, 18.92% less normalized average startup latency respectively. The normalized average number of stalling events when compared with MVA, MLD at 75% MUA is less by 14.28%, 24.9% respectively.
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Index Terms
- Autoscaling Datacenter Servers in Multi tenant Video on Demand Cloud Application
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