The Data Stream Processing Strategy (DSPS) is focused on the automatization of measurement projects based on a measurement framework. The measurement adapter (MA) is an architecture component located on mobile devices aims to integrate heterogeneous data sources (i.e., sensors). The Gathering Function (GF) is the component responsible for interacting and receiving measures from the MAs, and it resides on the Stream Processing Engine (SPE). MA and GF share the project definition based on a measurement framework to foster data interoperability, while MA regulates the frequency, size, and route related to data transmission. As contributions (i) The brief data message is introduced to optimize the data transmission keeping immutable the hierarchical data organization based on the project definition, and (ii) The integrity record for mobile and SPE environments is described based on a Merkle Tree. This allows optimizing each data transaction, incorporating a historical integrity record both MA and SPE. The proposals and simulations have been implemented on the cincamimis, cincamipd, mair, and pabmmcommons libraries, which are freely available on GitHub under the terms of the Apache 2.0 license. Four simulations are explained to detail how to measures were obtained. Interesting results show that the brief data message consumes 17.50 KB to transmit 1000 measures (2.4 times smaller than JSON), while a message with 200 measures could be generated and compressed using GZIP in 25.12 ms (2.43 times faster than JSON). 196KB is required to keep 17 min of the integrity history in a MA, being created in 4.85 ms.

数据流处理策略（DSPS）专注于基于测量框架的测量项目的自动化。测量适配器（MA）是位于移动设备上的体系结构组件，旨在集成异构数据源（即传感器）。收集功能（GF）是负责与MA交互和接收度量的组件，它位于流处理引擎（SPE）上。MA和GF在测量框架的基础上共享项目定义，以促进数据互操作性，而MA则调节与数据传输相关的频率，大小和路由。作为贡献（i）引入了简短数据消息，以优化数据传输，使基于项目定义的分层数据组织保持不变，（ii）基于Merkle树描述了移动和SPE环境的完整性记录。这允许优化每个数据事务，并结合了MA和SPE的历史完整性记录。提案和模拟已在cincamimis，cincamipd，mair和pabmmcommons库上实现，这些库可根据Apache 2.0许可在GitHub上免费提供。解释了四个模拟，以详细说明如何获得度量。有趣的结果表明，简短的数据消息消耗17.50 KB来传输1000个度量（比JSON小2.4倍），而使用GZIP可以在25.12毫秒内生成和压缩200个度量的消息（比JSON快2.43倍）。要在MA中保留17分钟的完整性历史记录（需要在4.85 ms内创建），需要196KB。