debugging distributed systems is hard. Most of the techniques that have been developed for debugging such systems use either extensive model checking, or postmortem analysis of logs and traces. Interactive debugging i...
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ISBN:
(纸本)9781450369954
debugging distributed systems is hard. Most of the techniques that have been developed for debugging such systems use either extensive model checking, or postmortem analysis of logs and traces. Interactive debugging is typically a tool that is only effective in single threaded and single process applications, and is rarely applied to distributedsystems. While the live observation of state changes using interactive debuggers is effective, it comes with a host of problems in distributed scenarios. In this paper, we discuss the requirements an interactive debugger for distributedsystems should meet, the role the underlying distributed model plays in facilitating the debugger, and the implementation of our interactive debugger: GoTcha. GoTcha is a browser based interactive debugger for distributedsystems built on the Global Object Tracker (GoT) programming model. We show how the GoT model facilitates the debugger, and the features that the debugger can offer. We also demonstrate a typical debugging workflow.
This paper describes the use of Petri nets to design, analyze, monitor, log and debug the run-time coordination of distributed control systems. The interaction between the distributed components is modeled using Petri...
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ISBN:
(纸本)9781936338290
This paper describes the use of Petri nets to design, analyze, monitor, log and debug the run-time coordination of distributed control systems. The interaction between the distributed components is modeled using Petri nets. Before running the application, different Petri net analysis tools can be used to analyze the system. While running, interactions between the different components of the distributed system can be easily monitored watching the evolution of the different Petri nets. Besides monitoring, the system can be instrumented to log state changes at different levels of detail. Finally, graphical tools can be used for visualizing the evolution of the system at the same running pace, jumping to a specific point of the execution and visualizing the state of the global system.
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