代理仓库:移动代理部署的新范例

Chi-Hung Chi, John Sim, Kwok-Yan Lam
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引用次数: 2

摘要

本文提出了代理仓库的新概念。非移动Web代理通常从其用户的计算机上操作,并可能从非常远的位置发出数据请求。此外,这些数据中的许多将与用户无关,从而加剧了互联网的带宽短缺问题。现有的移动代理模式解决了带宽减少和离线自主协商等问题。然而,这种范式在其常见的部署场景中确实有一些明显的限制;系统资源消耗、服务器协作和沿行进路径累积的代理大小等是典型的问题。当需要对同一服务器主机进行多次访问时,这些限制变得更加重要:主机信息的更新时间是不确定的,协商的决策也不是同时进行的。本文提出了一种中间的“类代理”代理仓库来解决这些问题。代理仓库位于数据源附近并支持代理执行,因此允许代理在离这些数据源更近的地方操作,并最大限度地减少丢弃搜索结果的影响。此外,它能够提供比普通Web服务器主机更多的资源,因为它专门为代理服务。更重要的是,即使远程站点不支持代理执行,代理仍然能够通过仓库完成其任务。通过为执行代理提供更通用、更灵活的系统环境,这改变了部署代理的典型方法。
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Agent warehouse: a new paradigm for mobile agent deployment
This paper describes a novel concept of agent warehouse. Non-mobile Web agents typically operate from their users' computer and make request for data possibly from a very far location. In addition, much of this data will be irrelevant to the user, thus aggravating the bandwidth scarcity problem of the Internet. With current mobile agent paradigm, many of these problems such as bandwidth reduction and off-line autonomous negotiation are solved. However, this paradigm does have some significant limitations in its common deployment scenarios; system resource consumption, server collaboration, and accumulated agent size along the travelling path, etc. are some typical ones. These limitations are becoming more important when multiple visits to the same server host are required: updating time of host information is nondeterministic and the decision of negotiation is also not simultaneous. In this paper, the intermediate "proxy-like" agent warehouse is proposed to address these issues. The agent warehouse locates near the data sources and supports agent execution, thus allowing agents to operate much closer to these data sources and minimising the effect of discarded search results. In addition, it is able to provide more resources than a normal Web server host does as it is dedicated to cater for agents. More importantly, even if the remote site does not support agent execution, the agent will still be able to complete its task through the warehouse. This changes the typical approach of how agents can be deployed by providing a more generic, flexible system environment for agents to execute.
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