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Performance Evaluation of the vSAN Application: A Case Study on the 3D and AI Virtual Application Cloud Service

Lookup NU author(s): Chao Yang, Professor Raj Ranjan

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Abstract

© 2021, Human-centric Computing and Information Sciences.All Rights Reserved.Although the popularity of server virtualization technology has facilitated the development of numerous applications, the storage input/output performance and the high availability of the backend are the key factors that affect service quality, regardless of the type of application service. Following the proposal of a softwaredefined technology, solutions to the concepts of software-defined data centers and software-defined storage have also been proposed. A virtual storage area network (vSAN) has a relatively scalable architecture, supports solid-state drives, and provides an expansion mechanism in the form of scale-up and scale-out storage. We conducted an in-depth study in which we measured the performance of the 3D virtual application cloud service (3D-VACS) on a university campus. The 3D-VACS constitutes the distributed file system (DFS), heterogeneous network, and high-performance environments for a vSAN. A greater number of disk stripes was discovered to improve the performance of big block transfers, i.e., when 10 disk stripes were employed, the performance was 2.46 times higher than when 1 disk stripe was used. The highest performance improvement, 32%, was obtained in a test requiring simultaneous reading and writing in a heterogeneous network environment, providing a faster network; when the write-only requirement was enforced, the performance did not improve significantly, although it was greater than that observed for the read/write hybrid requirement. Scale-out improved operational performance by 69% in an environment that required large amounts of reading and writing. In multimedia server data storage or applications in a file server storage environment, scale-up was observed to improve performance by up to 48%

Publication metadata

Author(s): Tsung C-K, Yang C-T, Ranjan R, Chen Y-L, Ou J-H

Publication type: Article

Publication status: Published

Journal: Human-centric Computing and Information Sciences

Year: 2021

Volume: 11

Online publication date: 26/02/2021

Acceptance date: 10/01/2021

ISSN (electronic): 2192-1962

Publisher: Korea Information Processing Society

URL: https://doi.org/10.22967/HCIS.2021.11.009

DOI: 10.22967/HCIS.2021.11.009

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