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Heterogeneous process state capture and recovery through Process Introspection

机译：通过过程自省进行异构过程状态捕获和恢复

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The ability to capture the state of a process and later recover that state in the form of an equivalent running process is the basis for a number of important features in parallel and distributed systems. Adaptive load sharing and fault tolerance are well-known examples. Traditional state capture mechanisms have employed an external agent (such as the operating system kernel) to examine and capture process state. However, the increasing prevalence of heterogeneous cluster and "metacomputing" systems as high-performance computing platforms has prompted investigation of process-internal state capture mechanisms. Perhaps the greatest advantage of the process-internal approach is the ability to support cross-platform state capture and recovery, an important feature in heterogeneous environments. Among the perceived disadvantages of existing process-internal mechanisms are poor performance in multiple respects, and difficulty of use in terms of programmer effort. In this paper we describe a new process-internal state capture and recovery mechanism: Process Introspection. Experiences with this system indicate that the perceived disadvantages associated with process-internal mechanisms can be largely overcome, making this approach to state capture an appropriate one for cluster and metacomputing environments.
机译：捕获进程状态并随后以等效运行进程的形式恢复该状态的能力是并行和分布式系统中许多重要功能的基础。自适应负载分担和容错是众所周知的示例。传统的状态捕获机制已采用外部代理（例如操作系统内核）来检查和捕获进程状态。但是，作为高性能计算平台的异构群集和“元计算”系统的日益普及，促使人们对过程内部状态捕获机制进行了研究。流程内部方法的最大优势也许是支持跨平台状态捕获和恢复的能力，这是异构环境中的重要功能。现有的流程内部机制的缺点包括：在多个方面的性能不佳，以及在程序员的努力方面难以使用。在本文中，我们描述了一种新的流程内部状态捕获和恢复机制：流程自省。该系统的经验表明，可以大大克服与流程内部机制相关的已知缺点，从而使这种用于状态捕获的方法成为适用于集群和元计算环境的一种方法。

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