Abstract
Collaboration of Reconfigurable processing elements in Grid Computing (CRGC) promises to provide both flexibility and performance to process computationally intensive tasks found in large applications. Reconfigurable computing provides much more flexibility than Application-Specific Integrated Circuits (ASICs) and much more performance than General-Purpose Processors (GPPs). GPPs, reconfigurable elements (RE) and hybrid (integration of GPPs and REs) elements are the main processing elements in the CRGC. In this paper, we propose closed queuing models for grid networks that incorporate the following processing elements: a GPP, a reconfigurable element (RE), and a hybrid element (combining a GPP with an RE). We examine two different models, one with feedback the other one without feedback. The performance metrics are the average response time and throughput. The proposed models are validated by take average response time and throughput of these models and simulation using OMNeTPP. Mean Value Analysis (MVA) is used to analytically compute the performance measures for these models. The comparison of the experimental (simulation) and analytical results suggest that the total average error for all the models with feedback and without feedback is less than 1.4% and 1.8%, respectively.
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References
Baldwin, R.O., Davis, N.J., Midkiff, S.F., Kobza, J.E.: Queueing Network Analysis: Concepts, Terminology, and Methods. Journal of Systems and Software 66(2), 99–117 (2003)
Bhaskar, V.: A Closed Queuing Network Model with Multiple Servers for Multi-threaded Architecture. Computer Communication 31, 3078–3089 (2008)
Bhaskar, V., Adjallah, K.H.: A Hybrid Open Queuing Network Model Approach for Multi-threaded Dataflow Architecture. Computer Communication 31(17), 4098–4106 (2008)
Harrison, P.G., Patel, N.M.: Performance Modelling of Communication Networks and Computer Architectures. Addison-Wesley Longman Publishing Co., Inc. (1992)
Hock, C., Hee, S.B.: Queueing Modelling Fundamentals with Applications in Communication Networks. John Wiley & Sons (2008)
Lotfifar, F., Shahhoseini, H.S.: Performance Modeling of Partially Reconfigurable Computing Systems. In: Proceedings of the 2008 IEEE/ACS International Conference Computer Systems and Applications, pp. 94–99 (2008)
Nadeem, M.F., Ahmadi, M., Nadeem, M., Wong, S.: Modeling and Simulation of Reconfigurable Processors in Grid Networks. In: International Conference on ReConFigurable Computing and FPGAs, ReConFig 2010, pp. 226–231 (December 2010)
Reiser, M., Lavenberg, S.S.: Mean-value analysis of closed multichain queuing networks. Journal ACMÂ 27 (April 1980)
Smith, M., Peterson, G.D.: Parallel Application Performance on Shared High Performance Reconfigurable Computing resources. Performance Evaluation 60(1-4), 107–125 (2005)
Tahir, M.A., Bouridane, A., Kurugollu, F., Amira, A.: Accelerating the Computation of GLCM and Haralick Texture Features on Reconfigurable Hardware. In: Proceedings of 5th International Conference on Image Processing, pp. 2857–2860 (2004)
Wong, S., Ahmadi, M.: Reconfigurable Architectures in Collaborative Grid Computing: An Approach. In: Proceedings of the 2nd International Conference on Networks for Grid Applications, GridNets 2008 (2008)
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Zadkhosh, E., Fatahi, S., Ahmadi, M. (2012). Performance Analysis of Reconfigurable Processors Using MVA Analysis. In: Choy, O.C.S., Cheung, R.C.C., Athanas, P., Sano, K. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2012. Lecture Notes in Computer Science, vol 7199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28365-9_30
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DOI: https://doi.org/10.1007/978-3-642-28365-9_30
Publisher Name: Springer, Berlin, Heidelberg
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