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97 Conclusions for Ad Hoc Grids. The parallel simulator can operate according to the normal Time Warp or the Shock Resistant Time Warp algorithm allowing large-scale performance comparisons of these two synchronisation algorithms using different simulation models and on different hardware environments. It was shown that the Shock Resistant Time Warp algorithm can successfully reduce the number of rolled back Transaction moves, which for simulations with many or long cascaded rollbacks will lead to a better simulation performance. But this work also revealed a problem of the Shock Resistant Time Warp algorithm, implemented as described in [8]. Because according to this algorithm all LPs try to optimise their properties based only on local information it is possible for the Shock Resistant Time Warp algorithm to perform significantly worse than the normal Time Warp algorithm. Future work on this simulator could improve the Shock Resistant Time Warp algorithm by making the LPs aware of their position within the GPW as suggested in [33]. Combining these two synchronisation algorithms would create an algorithm that has the advantages of both without any major additional communication and processing overhead. Future work on improving this parallel transaction-oriented simulator could also look at employing different GVT algorithms and state saving schemes. Possible options were suggested in 4.3 and 5.3.3. This work also discussed the aspect of accessing objects in a different LP including a single shared Termination Counter. As mentioned in the report these options were not implemented in the parallel simulator and could be considered for future enhancements. Finally the simulator does not support the full GPSS/H language but only a large sub-set of the most important entities, which leaves further room for improvements.
References 98 References [1] Amin K. An Integrated Architecture for Ad Hoc Grids [online]. 2004 [cited 8 Jan 2007]. Available from: URL: http://students.csci.unt.edu/~amin/publications/ phd-thesis-proposal/proposal.pdf [2] Amin K, von Laszewski G and Mikler A. Toward an Architecture for Ad Hoc Grids. In: 12th International Conference on Advanced Computing and Communications (ADCOM 2004); 15-18 Dec 2004; Ahmedabad Gujarat, India [online]. 2004 [cited 8 Jan 2007]. Available from: URL: http://www.mcs.anl.gov/ ~gregor/papers/vonLaszewski-adhoc-adcom2004.pdf [3] Apache Software Foundation. log4j logging library [online]. [cited 8 Jan 2007]. Available from: URL: http://logging.apache.org/log4j/docs/ [4] Ball D and Hoyt S. The adaptive Time-Warp concurrency control algorithm. Proceedings of the SCS Multiconference on Distributed Simulation; San Diego, CA, USA; 22(1):174-177, 1990. [5] Das S R. Adaptive protocols for parallel discrete event simulation. Proceedings of the 28th conference on Winter simulation; 08-11 Dec 1996; Coronado, CA, USA; 186-193. New York: ACM Press; 1996. [6] Das S R and Fujimoto R M. Adaptive memory management and optimism control in time warp. ACM Transactions on Modeling and Computer Simulation (TOMACS); 7(2):239-271. New York: ACM Press; 1997. [7] Ferscha A. Probabilistic adaptive direct optimism control in Time Warp. Proceedings of the ninth workshop on Parallel and distributed simulation; Lake Placid, New York; 120-129. Washington, DC: IEEE Computer Society; 1995. [8] Ferscha A and Johnson J. Shock resistant Time Warp. Proceedings of the thirteenth workshop on Parallel and distributed simulation; Atlanta, Georgia, USA; 92-100. Washington, DC: IEEE Computer Society; 1999. [9] Foster I and Kesselman C. The Grid: Blueprint for a New Computing Infrastructure. 2nd edition. San Francisco: Morgan Kaufmann; 2004.
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TRANSACTION-ORIENTED SIMULATION IN
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Table of Content II Table of Conten
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IV Table of Content 6 VALIDATION OF
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Figures VI Figures Figure 1: Ad Hoc
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Tables VIII Tables Table 1: Change
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2 Introduction synchronisation algo
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2 Fundamental Concepts Fundamental
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Figure 1: Ad Hoc Grid architecture
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8 Fundamental Concepts In continuou
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10 Fundamental Concepts Two other a
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12 Fundamental Concepts known as st
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14 Fundamental Concepts event execu
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3 Ad Hoc Grid Aspects 16 Ad Hoc Gri
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18 Ad Hoc Grid Aspects resources an
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20 Ad Hoc Grid Aspects means that a
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Parallel Transaction-oriented Simul
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24 Parallel Transaction-oriented Si
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4.2 Synchronisation algorithm 26 Pa
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5 Implementation 40 Implementation
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42 Implementation confirm a provisi
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44 Implementation large numerical p
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Page 83 and 84: 74 Implementation Memory Allocation
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Page 111 and 112: Appendix A: Detailed GPSS Syntax 10
Page 113 and 114: Reserved word: DEPART Syntax: [] DE
Page 115 and 116: Reserved word: SEIZE Syntax: [] SEI
Page 117 and 118: Setting: LpccClusterNumber Default
Page 119 and 120: Appendix C: Simulator log4j loggers
Page 121 and 122: Logger: parallelJavaGpssSimulator.l
Page 123 and 124: 114 Appendix D: Structure of the at
Page 125 and 126: Appendix E: Documentation of select
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Page 135 and 136: !/+/.7/8$ Appendix E: Documentation
Page 137 and 138: Returns: Appendix E: Documentation
Page 139 and 140: !"#$%&''$()*)")$ +',)$-)$. #,/. !"#
Page 141 and 142: !"#$%&'()#%*+,"-*.# Appendix E: Doc
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Validation 1.1, output of simulate:
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Validation 2, output of LP: Appendi
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Appendix F: Validation output logs
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Validation 2, output of simulate: A
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Validation 3.1, output of LP1: Appe
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Validation 4, output of LP1: Append
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simulation for time 2000) (628) 20:
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Validation 4, output of simulate: A
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(135) 19:37:56,477 Total transactio
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(1295) 14:25:22,740 Simulation stop
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Validation 6.2, output of LP2: (1)
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(32) (1,2) 0 765 Block: TRANSFER 0.
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