Data-stream Query Optimization Across System Boundaries

该子项目的工作假设仍然是分散的数据流处理有其好处，因为它减少了从移动的节点到地面节点、地面节点之间以及从地面节点到中央节点的数据传输。生物学家的需求现在可以作为正式语言和机器可处理形式的查询。这些查询已经可以进行评估，但只能在中心节点和人工数据上进行。进一步的数据流将导致新的查询，为生物学家提供更多信息，并选择分散执行。这通过来自各个节点的状态消息进行扩展，以允许系统监控。它将用于识别关键系统状态、评估重新配置选项和启动重新配置行动。后者可能意味着设置一些参数（例如传感器的采样率），但也意味着从地面节点到移动的节点的代码部署（例如用于传感器数据的预聚合的运营商）。

The working hypothesis of this sub-project remains that decentralized data-stream processing has its benefit, because it reduces data transmission from the mobile nodes to the ground nodes, among the ground nodes, and from the ground nodes to the central node. The requirements of the biologists are now available as queries in formal language and in machine-processible form. These queries can already be evaluated, but only on the central node and on artifical data. Further data streams will lead to new queries with additional information for the biologists and with the option of decentralized execution. This is extended with status messages from the various nodes to allow for system monitoring. It will be used for the recognition of critical system states, for the assessment of reconfiguration options, and for the initiation of reconfiguration actions. The latter can mean setting a few parameters (e.g. the sampling rate of a sensor), but also the deployment of code from the ground nodes to the mobile nodes (e.g. operators for the pre-aggregation of sensor data).