标题： 一种混合方法用于监视上下文参数以优化上下文感知物联网应用的缓存 显示英文标题

标题： A Hybrid Approach to Monitor Context Parameters for Optimising Caching for Context-Aware IoT Applications

摘要： 物联网（IoT）近年来得到了迅速发展，并提供了解决我们社会和环境面临的一些关键挑战的能力。 由物联网产生的数据为推断对物联网应用做出决策/操作至关重要的上下文提供了重要机会。 上下文管理平台（CMP）是一种中间件，用于促进物联网应用之间此类上下文信息的交换和管理。 在本文中，我们提出了一种新的方法，将上下文的新鲜度作为关键指标，以提高CMP的缓存性能，从而支持物联网应用的实时上下文需求。 我们提出的混合算法使用层次分析法（AHP）和滑动窗口技术，以确保缓存最相关（根据物联网应用需求）的上下文信息。 通过持续监控和优先处理上下文属性，该策略能够适应物联网环境的变化，保持缓存的上下文新鲜和可靠。 通过实验评估并使用从第~\ref{use case}节获得的模拟数据，我们证明了所提出的算法可以通过实时监控上下文属性显著提高上下文缓存性能。 显示英文摘要

摘要： Internet of Things (IoT) has seen a prolific rise in recent times and provides the ability to solve several key challenges faced by our societies and environment. Data produced by IoT provides a significant opportunity to infer context that is key for IoT applications to make decisions/actuations. Context Management Platform (CMP) is a middleware to facilitate the exchange and management of such context information among IoT applications. In this paper, we propose a novel approach to monitoring context freshness as a key metric, to improving the CMP's caching performance to support the real-time context needs of IoT applications. Our proposed hybrid algorithm uses Analytic Hierarchy Process (AHP) and Sliding Window technique to ensure the most relevant (as needed by the IoT applications) context information is cached. By continuously monitoring and prioritizing context attributes, the strategy adapts to IoT environment changes, keeping cached context fresh and reliable. Through experimental evaluation and using mock data obtained from a real-world mobile IoT scenario in section~\ref{use case}, we demonstrate that the proposed algorithm can substantially enhance context cache performance, by monitoring the context attributes in real time.