Abstract: A health monitoring urinalysis system that monitors several health indicators from human urine is provided. The system includes a temperature sensor and several electrochemical sensors that are installed in a urine collection basin, such as, a toilet or a urinal and may automatically collect urine information after each use. The system collects data during the routine and normal use of a urine collection basin. The system includes a control and measurement unit that may be installed outside the urine collection basin. The control and measurement unit receives sensor measurements and transmits the measurements to one or more remote electronic devices. The remote electronic devices and/or the processor of the control and measurement unit perform data analysis, provide diagnostic, and generate health alerts. The system performs recurrent health monitoring after the urine collection basin is used and may detect abnormal conditions at early stages, in addition to a routine urine test.

Abstract: Techniques are described for managing compute and storage resources in a container-based, multi-tenant, computing infrastructure. In some implementations, a plurality of containers may each execute an instance of a software framework. Each container may include compute capacity and storage capacity according to the executed framework. Containers may be allocated among clusters in a multi-tenant, cloud-based computing environment based on measured demand for compute capacity and/or storage capacity in the various clusters. In some implementations, a scheduler (e.g., a Level 2 scheduler, or a scheduler of schedulers) determines whether to move compute containers between clusters within a multi-tenant environment, to provide performance improvements, resource utilization efficiency, and cost reduction within the data center, and to satisfy tenant requests for compute and/or storage resources.

Abstract: Techniques are described for managing compute and storage resources in a container-based, multi-tenant, computing infrastructure. In some implementations, a plurality of containers may each execute an instance of a software framework. Each container may include compute capacity and storage capacity according to the executed framework. Containers may be allocated among clusters in a multi-tenant, cloud-based computing environment based on measured demand for compute capacity and/or storage capacity in the various clusters. In some implementations, a scheduler (e.g., a Level 2 scheduler, or a scheduler of schedulers) determines whether to move compute containers between clusters within a multi-tenant environment, to provide performance improvements, resource utilization efficiency, and cost reduction within the data center, and to satisfy tenant requests for compute and/or storage resources.