A Scheme on High-Performance Caching and High-Capacity File Transmission for Cloud Storage Optimization 


Vol. 37,  No. 8, pp. 670-679, Aug.  2012


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  Abstract

The recent dissemination of cloud computing makes the amount of data storage to be increased and the cost of storing the data grow rapidly. Accordingly, data and service requests from users also increases the load on the cloud storage. There have been many works that tries to provide low-cost and high-performance schemes on distributed file systems. However, most of them have some weaknesses on performing parallel and random data accesses as well as data accesses of frequent small workloads. Recently, improving the performance of distributed file system based on caching technology is getting much attention. In this paper, we propose a CHPC(Cloud storage High-Performance Caching) framework, providing parallel caching, distributed caching, and proxy caching in distributed file systems. This study compares the proposed framework with existing cloud systems in regard to the reduction of the server"s disk I/O, prevention of the server-side bottleneck, deduplication of the page caches in each client, and improvement of overall IOPS. As a results, we show some optimization possibilities on the cloud storage systems based on some evaluations and comparisons with other conventional methods.

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  Cite this article

[IEEE Style]

T. Kim, J. Kim, Y. I. Eom, "A Scheme on High-Performance Caching and High-Capacity File Transmission for Cloud Storage Optimization," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 8, pp. 670-679, 2012. DOI: .

[ACM Style]

Tae-hun Kim, Junghan Kim, and Young Ik Eom. 2012. A Scheme on High-Performance Caching and High-Capacity File Transmission for Cloud Storage Optimization. The Journal of Korean Institute of Communications and Information Sciences, 37, 8, (2012), 670-679. DOI: .

[KICS Style]

Tae-hun Kim, Junghan Kim, Young Ik Eom, "A Scheme on High-Performance Caching and High-Capacity File Transmission for Cloud Storage Optimization," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 8, pp. 670-679, 8. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880