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3 Introduction transaction-oriented simulator, starting from the initial implementation considerations and the implementation phases to specific details of the implementation and how the simulator is used. The functionality of the implemented parallel simulator is then validated in section 6 and the final conclusions presented in section 7.
2 Fundamental Concepts Fundamental Concepts This main section introduces the fundamental concepts and terminology essential for the understanding of this work. It covers areas like Grid Computing and the relation between the granularity of parallel algorithms and their expected target hardware architecture. It also describes the classification of simulation models as well as different approaches to parallel discrete event simulation and the main groups of synchronisation algorithms. 2.1 Grid Computing The term “the Grid” first appeared in the mid-1990s in connection with a proposed distributed computing infrastructure for advanced science and engineering [9]. Today Grid computing is commonly used for a „distributed computing infrastructure that supports the creation and operation of virtual organizations by providing mechanisms for controlled, cross-organizational resource sharing“ [9]. Similar to electric power grids Grid computing provides computational resources to clients using a network of multi organisational resource providers establishing a collaboration. In the context of Grid computing resource sharing means the “access to computers, software, data, and other resources” [9]. Control is needed for the sharing of resources that describes who is providing and who is consuming resources, what is shared and what are the conditions for the resource sharing to occur. These sharing rules and the group of organisations or individuals that are defined by it form a so-called Virtual Organisation (VO). Grid computing technology has evolved and gone through several phases since it’s beginning [9]. The first phase was characteristic for custom solutions to Grid computing problems. These were usually built directly on top of Internet protocols with limited functionality for security, scalability and robustness and interoperability was not considered to be important. From 1997 the emerging open source Globus Toolkit version 2 (GT2) became the de facto standard for Grid computing. It provided usability and interoperability via a set of protocols, APIs and services and was used in many Grid deployments worldwide. With the Open Grid Service Architecture (OGSA), which is a true community standard, came the shift of Grid computing towards a service-oriented architecture. In addition to a set of standard interfaces and services OGSA provides the framework in which a wide range of interoperable and portable services can be defined. 4
Page 1 and 2: TRANSACTION-ORIENTED SIMULATION IN
Page 3 and 4: Table of Content II Table of Conten
Page 5 and 6: IV Table of Content 6 VALIDATION OF
Page 7 and 8: Figures VI Figures Figure 1: Ad Hoc
Page 9 and 10: Tables VIII Tables Table 1: Change
Page 11: 2 Introduction synchronisation algo
Page 15 and 16: Figure 1: Ad Hoc Grid architecture
Page 17 and 18: 8 Fundamental Concepts In continuou
Page 19 and 20: 10 Fundamental Concepts Two other a
Page 21 and 22: 12 Fundamental Concepts known as st
Page 23 and 24: 14 Fundamental Concepts event execu
Page 25 and 26: 3 Ad Hoc Grid Aspects 16 Ad Hoc Gri
Page 27 and 28: 18 Ad Hoc Grid Aspects resources an
Page 29 and 30: 20 Ad Hoc Grid Aspects means that a
Page 31 and 32: Parallel Transaction-oriented Simul
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Page 55 and 56: 46 Implementation A detailed descri
Page 57 and 58: 48 Implementation But in a parallel
Page 59 and 60: 50 Implementation GPSS test models
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54 Implementation technique describ
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Implementation Euclidean distance b
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58 Implementation chain at the corr
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60 Implementation The algorithm wil
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No Start Is Active Object body acti
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5.3.2 GVT Calculation and End of Si
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66 Implementation provisional simul
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Implementation relatively basic per
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70 Implementation log4j.logger.para
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proactive-log4j 72 Implementation T
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74 Implementation Memory Allocation
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76 Validation of the Parallel Simul
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6.4 Validation 4 84 Validation of t
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… LpccEnabled=true LpccClusterNum
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Validation 5.2 Validation of the Pa
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7 Conclusions 96 Conclusions Even s
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References 98 References [1] Amin K
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[19] Krafft G. Parallelisation of T
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Appendix A: Detailed GPSS Syntax 10
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Reserved word: DEPART Syntax: [] DE
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Reserved word: SEIZE Syntax: [] SEI
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Setting: LpccClusterNumber Default
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Appendix C: Simulator log4j loggers
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Logger: parallelJavaGpssSimulator.l
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114 Appendix D: Structure of the at
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Appendix E: Documentation of select
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!"#"$$%$&"'"(!))*+,-$"./#0$! 1$"))
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!/+/.7/8$ Appendix E: Documentation
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Returns: Appendix E: Documentation
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!"#$%&''$()*)")$ +',)$-)$. #,/. !"#
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!"#$%&'()#%*+,"-*.# Appendix E: Doc
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Constructor Detail !"#$%&'$(#$)*$%+
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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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(68) 19:37:56,619 by the transactio
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(1295) 14:25:22,740 Simulation stop
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(68) 14:25:22,888 by the transactio
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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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