PC-Cluster based Storage System Architecture for Cloud Storage
Tin Tin Yee, Thinn Thu Naing

TL;DR
This paper presents a cost-effective PC cluster architecture for cloud storage that enhances storage utilization and response time through an analytical queuing model, addressing the challenge of balancing capacity and investment.
Contribution
It introduces a novel PC cluster-based cloud storage architecture and an analytical model to optimize storage utilization and response time.
Findings
Storage utilization exceeds 90% in experiments
Analytical model improves response time and system efficiency
Cost-effective solution for large-scale cloud storage
Abstract
Design and architecture of cloud storage system plays a vital role in cloud computing infrastructure in order to improve the storage capacity as well as cost effectiveness. Usually cloud storage system provides users to efficient storage space with elasticity feature. One of the challenges of cloud storage system is difficult to balance the providing huge elastic capacity of storage and investment of expensive cost for it. In order to solve this issue in the cloud storage infrastructure, low cost PC cluster based storage server is configured to be activated for large amount of data to provide cloud users. Moreover, one of the contributions of this system is proposed an analytical model using M/M/1 queuing network model, which is modeled on intended architecture to provide better response time, utilization of storage as well as pending time when the system is running. According to the…
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Taxonomy
TopicsCloud Computing and Resource Management · Caching and Content Delivery · Advanced Data Storage Technologies
