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仍然执行(取决于该环境的并行性细节以及 RPC 实现)。
这个想法有许多吸引人的方面。其中之一是清晰而简单的语义:这应当使构建分布式计算并使其正确实现变得更加容易。另一个方面是效率:过程调用似乎足够简单,因此通信可以非常快速。第三个方面是通用性:在单机计算中,过程通常是算法各部分之间通信的最重要机制。
RPC 的思想已经存在了许多年。至少从 1976 年以来,它已经在公开文献中被多次讨论过 [15]。Nelson 的博士论文 [13] 对 RPC 系统的设计可能性进行了广泛研究,并引用了许多早期关于 RPC 的工作。然而,完整规模的 RPC 实现比论文设计更为少见。近期值得注意的工作包括 Xerox NS 协议族中的 Courier [4],以及 MIT 当前的工作 [10]。
本文源于为 Cedar 项目构建 RPC 工具的工作。由于之前的工作(特别是 Nelson 的论文及相关实验),我们认为自己理解了 RPC 工具设计者必须做出的选择。我们的任务是在特定目标和环境的背景下做出这些选择。在实践中,我们发现若干领域的理解还不充分,并且我们构建了一个设计具有若干新颖方面的系统。
References
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Read off the page by a vision model reading the page images using olmOCR-2-7B-1025-FP8. Translated into 中文 by gpt-5, against glossary version 6. Translated from the English.