Multitiered inference management architecture for participatory sensing
Multitiered inference management architecture for participatory sensing
复制标题
用于参与式感知的多层推理管理架构
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
Supriyo Chakraborty
中科院分区：
文献类型：
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作者：
Stephen Pipes;Supriyo Chakraborty
本文介绍了一种多层体系结构，用于实现推理管理防火墙（IMF），采用上下文感知的信息屏蔽技术，系统管理的风险与价值权衡的传感器数据。在此之前，我们已经演示了IMF作为消息传递服务在Information Fabric上运行的初始实现，Information Fabric是在国际技术联盟（ITA）研究计划下开发的中间件资产。此外，我们还介绍了一种额外的资产，最近在运行Android操作系统的商用移动终端上实现，旨在作为网络边缘的信息源和一线推理管理功能。基于Android的移动的设备的低成本和广泛使用为众包参与式传感提供了一个流行的平台。我们目前工作的重点是整合这两项技术资产，以支持联盟场景中的策略管理、传感器驱动的工作流程。
This paper describes a multitiered architecture for realizing an inference management firewall (IMF) that employs context-aware information masking techniques for systematic management of risk-vs-value trade-off of sensor data. Previously we have demonstrated an initial implementation of the IMF running as messaging services on the Information Fabric, which is a middleware asset developed under the International Technology Alliance (ITA) research program. Furthermore, we have presented an additional asset, recently implemented on a commercially-available mobile device running the Android operating system, which is intended to operate as an information source and first-line inference management capability at the edge of the network. The low-cost and widespread use of Android-based mobile devices offers a popular platform for crowdsourced participatory sensing. The focus of our current work is on the integration of these two technology assets in support of policy-managed, sensor-driven workflows in coalition scenarios.