Implementation of a Peer-to-Peer Multiplayer Game with ... - DVS

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ExamplesRunning the program without any parametersplanetp4activates peer-to-peer mode but does not connect to a network. To connect to an existing peer-to-peernetwork, runplanetp4 -s To start a second instance on the local machine, it is necessary to specify an alternate bind port:planetp4 -b 8586 -s localhostAlternatively, you can connect a bot to the network withplanetp4 -b 8586 -s localhost -c -aFor client-server mode, it is necessary to start a dedicated server instance first:planetp4 -m cuspserverA client is connected using the following command line:planetp4 -m cuspclient -s On localhost, useplanetp4 -m cuspclient -b 8586 -s localhost4.6 CUSP BindingsPart of this work is to create C++ bindings to the Standard ML CUSP API. This section discusses the keypoints of that task.4.6.1 ConceptMLton’s foreign function interface 8 (FFI) allows calling C functions from Standard ML and exportingStandard ML functions to be called from C code. This is the basis for the C++ bindings. The filelibcusp.sml contains Standard ML glue code that exports C functions. From that file the MLton compilergenerates a C header file (libcusp.h) which declares the exported functions. The header file is includedby the C++ wrapper code in cusp.c, which is compiled to an object file, which in turn MLton finally addsto the archive containing the whole transport protocol implementation, libcusp.a. To use the library,applications just have to include the C++ header file cusp.h and link libcusp.a to the the program. Figures4.8 and 4.9 depict the concept and the build process.8 http://mlton.org/ForeignFunctionInterface66 4.6 CUSP Bindings
Figure 4.8: CUSP bindings concept and important source filesFigure 4.9: CUSP bindings build chain4 Implementation 67
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Implementation of aPeer-to-Peer Mul
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AbstractMassively multiplayer onlin
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Contents1 Introduction 71.1 Planet
Page 9 and 10:
1 IntroductionIn the recent years,
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Figure 1.2: Screenshot of the origi
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Avatar is the virtual representatio
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scenarios with millions of users, t
Page 18 and 19: ArchitectureCensus operates in epoc
Page 20 and 21: administrative data. For short gami
Page 22 and 23: 2.3.2 HydraHydra [5] is a peer-to-p
Page 24 and 25: DHT’s key space. A comparison of
Page 26 and 27: the sender). Interest sets limit th
Page 28 and 29: EvaluationVON is evaluated in a sim
Page 30 and 31: 2.4.1 Low-Latency Information Disse
Page 32 and 33: 2.4.3 Object Synchronization and Ga
Page 34 and 35: API IntroductionThis section briefl
Page 36 and 37: The EndPoint class provides two mai
Page 39 and 40: 3 ConceptThis work’s implementati
Page 41 and 42: A solution could be using a mix of
Page 43 and 44: closing connections immediately is
Page 45: game instance. startNode() takes a
Page 48 and 49: Figure 4.1: Game Component Dependen
Page 50 and 51: Figure 4.2: In-game status message
Page 52 and 53: lock other tasks, resulting in a fa
Page 54 and 55: AvatarAn abstract representation of
Page 56 and 57: Figure 4.4: The network engine’s
Page 58 and 59: Figure 4.6: AI motion prediction wi
Page 60 and 61: MessageTable 4.1: Message types use
Page 62 and 63: Table 4.2: Message types used by th
Page 64 and 65: }// init gamegame ->init(device , t
Page 66 and 67: Irrlicht for Linux requires a few a
Page 70 and 71: 4.6.2 Implementation ConcernsUnlike
Page 72 and 73: eset callback may be called synchro
Page 74 and 75: Table 5.1: Client-server traffic de
Page 76 and 77: 700006000050000Traffic (bytes/s)400
Page 78 and 79: 1000000900000800000700000Traffic (b
Page 80 and 81: Table 5.3: Computation time and mem
Page 82 and 83: Table 5.4: Computation time and mem
Page 85 and 86: 6 ConclusionThe core task of this w
Page 87: New game features and improvements
Page 90 and 91: AIprintf("Init AI...\n");ctx ->ai->
Page 93 and 94: Bibliography[1] E. J. Berglund and
Page 95: [32] Ion Stoica, Robert Morris, Dav
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