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Energy considerations in checkpointing and fault tolerance protocols

机译:检查点和容错协议中的能源注意事项

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Exascale supercomputers will gather hundreds millions cores. The first problem that we address is resiliency and fault tolerance to reach application termination on such platforms. The second problem is energy consumption since such systems will consume enormous amount of energy. In this paper, we evaluate checkpointing and existing fault tolerance protocols from an energy point of view. We measure on a real testbed the power consumption of the main atomic operations found in these protocols. The first results show that process coordination and RAM consume more power than checkpointing and HDD logging. However, the results we presented in Joules per Bytes for I/O operations, emphasize that checkpointing and HDD logging consume more energy than RAM logging. Finally, we propose to consider energy consumption as a criterion for the choice of fault tolerance protocols. In terms of energy consumption, we should promote message logging for applications exchanging small volumes of data and coordination for applications involving few processes.
机译:Exascale超级计算机将收集亿万个内核。我们要解决的第一个问题是在此类平台上达到应用终止的弹性和容错性。第二个问题是能量消耗,因为这样的系统将消耗大量能量。在本文中,我们从能量的角度评估了检查点和现有的容错协议。我们在真实的测试床上测量这些协议中发现的主要原子操作的功耗。最初的结果表明,进程协调和RAM比检查点和HDD日志记录消耗更多的功率。但是,我们以I / O操作的每字节焦耳数表示的结果强调,检查点和HDD日志记录比RAM日志记录消耗更多的能量。最后,我们建议将能耗作为选择容错协议的标准。在能耗方面,我们应该为交换少量数据的应用程序促进消息记录,并为涉及很少进程的应用程序协调消息。

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