DocumentCode :
2309901
Title :
An Analytical Performance Model of IP-SAN
Author :
Wang, Min ; Liu, Liu ; Xu, Wei ; Xu, Lu
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing
fYear :
2008
fDate :
12-14 June 2008
Firstpage :
255
Lastpage :
262
Abstract :
In this paper we propose a component-based analytical performance model for IP-SAN. We model four key components within IP-SAN individually and they are IP network, cache, RAID and disks. We validate these component models and compose them to give an entire IP-SAN performance model. The entire IP-SAN model analyzes the performance of an IP-SAN configuration under multiple synchronous workloads by using closed queueing network model and under asynchronous workload by using open queueing network model. We also validate the entire IP-SAN performance model against a real IP-SAN system. The theoretical results are compared with the results from a real IP-SAN using a variety of synthetic workloads. These experiments prove that the component-based method is an appropriate way to build performance model for a complex storage system. To our knowledge, this is the first exploration into building analytical performance model for entire IP-SAN system and validating against a real system. We also identify areas for future research in the performance analysis of real IP-SAN.
Keywords :
IP networks; RAID; cache storage; queueing theory; storage area networks; IP network; IP-SAN system; RAID; asynchronous workload; cache storage; closed queueing network model; component-based analytical performance model; disk storage; multiple synchronous workloads; open queueing network model; Analytical models; Capacity planning; Computer architecture; IP networks; Internet; Performance analysis; Predictive models; Queueing analysis; Storage area networks; Storage automation; IP-SAN; performance model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Architecture, and Storage, 2008. NAS '08. International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-0-7695-3187-8
Type :
conf
DOI :
10.1109/NAS.2008.38
Filename :
4579601
Link To Document :
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