Eric Sadit Tellez, Edgar Chávez, J. Contreras-Castillo
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引用次数: 4
摘要
远程对象管理是分布式和协同信息检索、点对点系统和面向代理的编程中的一个关键元素。在现有的实现中,通信和解析开销占信息检索任务总延迟时间的很大一部分。此外,现有的体系结构由几个具有潜在版本冲突的软件层组成。在本文中,我们介绍了SPyRO(简单Python远程对象),这是一个Python远程对象管理系统,旨在提供透明和半透明的远程对象访问。透明模式的目的是用Python编程语言创建易于分布的应用程序,支持代码移动性(Fuggetta et al., 1998),而半透明模式的目的是提供对远程调用的完全控制,并允许从其他编程语言访问。为了降低通信延迟,连接是无状态的,本地对象和远程调用不知道连接状态。该协议使用几种封送格式在对等点之间进行通信,试图在异构网络中最大限度地提高同质性。为了支持我们的说法,我们提供的结果显示,与基于XML的最先进的编组格式相比,性能提高了大约10倍
Remote object management is a key element in distributed and collaborative information retrieval, peer-to-peer systems and agent oriented programming. In existing implementations the communication and parsing overhead represents a significant fraction of the overall latency time in information retrieval tasks. Furthermore, existing architectures are composed of several software layers with potential version conflicts. In this paper, we present SPyRO (simple Python remote objects) which is a Python remote object management system developed to provide transparent and translucent remote object access. The transparent mode is designed to create easily distributed applications supporting code mobility (Fuggetta et al., 1998) in Python programming language, whilst the translucent mode is designed to provide total control over remote calls, and allow access from other programming languages. To lower the communication latency, the connection is stateless, local objects and remote calls are not aware of the connection state. The protocol uses several marshal formats to communicate between peers, trying to maximize the homogeneity in a heterogeneous network. To support our claims we present results showing performance improvements of about 10 times when comparing with state of the art marshalling formats based on XML