GSPN-Based Analysis of Storage Infrastructures for Rendering System

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Abstract:

By taking transmission delay into account, the optimization of distributed rendering environment (DRE) was concerned in this paper. Considering distributed animation rendering environment as the object of study, two Generalized Stochastic Petri Nets (GSPN) models for “completely distributed storage” infrastructure (CDSI) and “hybrid distributed storage” one (HDSI) were constructed respectively. Moreover, by choosing average time delay as the performance index, analysis was conducted by applying the equivalent formulas for solving Stochastic Petri Nets (SPN) models of serial and parallel types to these two GSPN models. Based on comparison of such models’ numerical simulation results, conclusion on these two infrastructures’ advantages and disadvantages is deprived thereby. It offers important quantitative foundations for choosing appropriate storage schemes and scheduling algorithms.

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Periodical:

Advanced Materials Research (Volumes 219-220)

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1359-1362

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March 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Information on http://www.teragrid.org.

Google Scholar

[2] S. L. Gooding, L. Arns, P. Smith, et al.: Implementation of a Distributed Rendering Environment for the TeraGrid, in Proc. of IEEE Challenges of Large Applications in Distributed Environments (CLADE). Paris, France, (2006), pp.13-21.

DOI: 10.1109/clade.2006.1652049

Google Scholar

[3] A. Chong, A. Sourin and K. Levinski: Grid-based computer animation rendering, in Proc. of the 4th international conference on computer graphics and interactive techniques. Australasia, Southeast Asia, (2006), pp.39-47.

DOI: 10.1145/1174429.1174435

Google Scholar

[4] Information on http://boinc.equn.com/projects/burp.htm.

Google Scholar

[5] M. A. Marson: Stochastic Petri Nets: An elementary Introduction. Lecture Notes in Computer Science, 424, New York: Springer-Verlag (1989).

Google Scholar

[6] M. A. Marson, G. Conte, and G. Balbo: A class of Generalised Stochastic Petri Nets for the performance evaluation of multiprocessor systems. ACM Transactions on Computer Systems, (1984), Vol. 2, p.93–122.

DOI: 10.1145/190.191

Google Scholar

[7] C. Lin: Performance Evaluation of Computer Network and Computer System. Beijing: Tsinghua University Press, (2001). (In Chinese).

Google Scholar

[8] C. Lin., L. Q. Tian and Y. Y. Wei: Performance equivalent analysis of workflow systems, Journal of Software, Vol. 13, No. 8, pp.1472-1480 (2002) . (In Chinese).

Google Scholar