Technologies for allocating resources of a set of managed nodes to workloads based on resource utilization phase residencies include an orchestrator server to receive resource allocation objective data and determine an assignment of a set of workloads among the managed nodes. The orchestrator server is further to receive telemetry data from the managed nodes, determine, as a function of the telemetry data, phase residency data, determine, as a function of at least the phase residency data and the resource allocation objective data, an adjustment to the assignment of the workloads to increase an achievement of at least one of the resource allocation objectives without decreasing the achievement of any of the other resource allocation objectives, and apply the adjustment to the assignments of the workloads among the managed nodes as the workloads are performed.

Examples may include sleds for a rack in a data center including physical compute resources and memory for the physical compute resources. The memory can be disaggregated, or organized into first level and second level memory. A first sled can comprise the physical compute resources and a first set of physical memory resources while a second sled can comprise a second set of physical memory resources. The first set of physical memory resources can be coupled to the physical compute resources via a local interface while the second set of physical memory resources can be coupled to the physical compute resources via a fabric.

Technical solutions are described for controlling media playback based on consumption of contents in a cup. For example, an apparatus that controls the playback receives an amount of contents in the cup. The apparatus includes one or more sensors that keep track of amount of the contents and/or a rate of consumption of the contents. In an example, the apparatus transmits a signal to a media device in response to a predetermined threshold being greater than the rate of consumption of contents. In response, the media device may pause, stop, or play media. Additionally or alternatively, in response, the media device may display a user interface that describes a status of consumption of contents, such as the rate of flow.

Technologies for dynamically allocating resources within a self-managed node include a self-managed node to receive quality of service objective data indicative of a performance objective of one or more workloads assigned to the self-managed node. Each workload includes one or more tasks. The self-managed node is also to execute the one or more tasks to perform the one or more workloads, obtain telemetry data as the workloads are performed, determine, as a function of the telemetry data, an adjustment to the allocation of resources among the workloads to satisfy the performance objective, and apply the determined adjustment as the workloads are performed by the self-managed node. Other embodiments are also described and claimed.

Embodiments are generally directed apparatuses, methods, techniques and so forth to receive a sled manifest comprising identifiers for physical resources of a sled, receive results of an authentication and validation operations performed to authenticate and validate the physical resources of the sled, determine whether the results of the authentication and validation operations indicate the physical resources are authenticate or not authenticate. Further and in response to the determination that the results indicate the physical resources are authenticated, permit the physical resources to process a workload, and in response to the determination that the results indicate the physical resources are not authenticated, prevent the physical resources from processing the workload.

A sensor assembly includes one or more accelerometers that generate movement signals indicative of movement of a powered system, a fluid level sensor that generates fluid level signals indicative of an amount of fluid in the powered system, and one or more processors that receive the movement signals and the fluid level signals. The one or more processors also (a) filter at least some of the movement signals based on a speed at which the powered system operates and/or (b) calculate one or more of (1) a statistical measure, (2) a fast Fourier transform (FFT), or (3) a discrete Fourier transform (DFT) of the movement signals. The assembly also includes a first antenna that wirelessly communicates the one or more of the movement signals, the amount of fluid, the statistical measure, the FFT, or the DFT to a remote location.

A thermoelectric conversion element module (101) includes: a heat receiving part (3) disposed so as to be contactable with a heat source; a thermoelectric conversion element (10) having a first surface (10a) and a second surface (10b), the first surface (10a) being disposed in contact with the heat receiving part (3); and a heat radiating part (5) that is disposed in contact with the second surface (10b) and has an inner space (21).

Described herein are embodiments of a system for monitoring and detecting a level of a tank storing a material. The system may be used in making a determination of whether and/or when to provide additional material to the tank, to refill the tank partially or entirely. In some embodiments, the tank may be disposed at a premises such as a residence or commercial building and the system may be disposed in part at that premises to monitor the level of the material in the tank. In some embodiments, the material may be a fuel and the tank may be a fuel tank, to provide fuel to utilities equipment at the premises. In other embodiments, the tank may include other materials, such as other utilities materials. In some embodiments, the utilities material may be potable water.

Technologies for a low-latency interface with data storage of a storage sled in a data center are disclosed. In the illustrative embodiment, a storage sled stores metadata including the location of data in a storage device in low-latency non-volatile memory. When accessing data, the storage sled may access the metadata on the low-latency non-volatile memory and then, based on the location determined by the access to the metadata, access the location of the data in the storage device. Such an approach results in only one access to the data storage in order to read the data instead of two.

Examples may include racks for a data center and sleds for the racks, the sleds arranged to house physical resources for the data center. The sleds and racks can be arranged to be autonomously manipulated, such as, by a robot. The sleds and racks can include features to facilitate automated installation, removal, maintenance, and manipulation by a robot.