Abstract: Iterative workload processing having a mandatory processing task and a preferred processing task. A processor device iteratively performs a processing workload that comprises a mandatory processing task and a preferred processing task. The mandatory processing task includes accessing a plurality of input messages that have not yet been processed, and the preferred processing task has a target timeframe within which to be performed. For each iteration, a maximum preferred processing task amount of time to perform the preferred processing task is determined based on a moving average of mandatory processing task times of previous iterations and based on the target timeframe. The preferred processing task is performed for a period of time no greater than the maximum preferred processing task amount of time.

Abstract: Iterative workload processing having a mandatory processing task and a preferred processing task. A processor device iteratively performs a processing workload that comprises a mandatory processing task and a preferred processing task. The mandatory processing task includes accessing a plurality of input messages that have not yet been processed, and the preferred processing task has a target timeframe within which to be performed. For each iteration, a maximum preferred processing task amount of time to perform the preferred processing task is determined based on a moving average of mandatory processing task times of previous iterations and based on the target timeframe. The preferred processing task is performed for a period of time no greater than the maximum preferred processing task amount of time.

Abstract: Scheduling multiple processes with varying delay sensitivity is disclosed herein. In one example, a processor device iteratively executes a processing workload that includes a fixed-execution-time process and an adjustable-execution-time process. During each iteration of the processing workload, the processor device first determines, for that iteration, a maximum cycle time interval during which both the fixed-execution-time process and an adjustable-execution-time process will execute. The processor device further determines a maximum execution time interval for the adjustable-execution-time process, based on the maximum cycle time interval and a fixed execution time interval for the fixed-execution-time process. The processor device then modifies an adjustable execution time interval for adjustable-execution-time process in the current iteration of the processing workload based on the maximum execution time interval.

Abstract: Systems and methods are described for passing event messages between components of a computing cluster. An example method includes identifying, by an event sender, a receiving component to receive a record, determining, by a processing device, whether the receiving component is a protocol aware component, and upon determining that the receiving component is the protocol aware component, sending the record to the receiving component using a first protocol. Sending the record to the receiving component using the first protocol bypasses a dispatch service of the event sender.

Abstract: Scheduling multiple processes with varying delay sensitivity is disclosed herein. In one example, a processor device iteratively executes a processing workload that includes a fixed-execution-time process and an adjustable-execution-time process. During each iteration of the processing workload, the processor device first determines, for that iteration, a maximum cycle time interval during which both the fixed-execution-time process and an adjustable-execution-time process will execute. The processor device further determines a maximum execution time interval for the adjustable-execution-time process, based on the maximum cycle time interval and a fixed execution time interval for the fixed-execution-time process. The processor device then modifies an adjustable execution time interval for adjustable-execution-time process in the current iteration of the processing workload based on the maximum execution time interval.

Abstract: Systems and methods are described for passing event messages between components of a computing cluster. An example method includes obtaining, at an event sender, a record that contains an event, wherein the event sender is a data storage component of an event streaming platform. The method also includes identifying a receiving component that is designated as a receiver for the record, and determining, by a processing device, whether the receiving component is a native protocol aware component, wherein the native protocol is native to the event streaming platform. Upon determining that the receiving component is a native protocol aware component, the record is sent to the receiving component using the native protocol. Upon determining that the receiving component is not a native protocol aware component, the record is sent to the receiving component using Hyper Text Transfer Protocol (HTTP).

Abstract: Scheduling multiple processes with varying delay sensitivity is disclosed herein. In one example, a processor device iteratively executes a processing workload that includes a fixed-execution-time process and an adjustable-execution-time process. During each iteration of the processing workload, the processor device first determines, for that iteration, a maximum cycle time interval during which both the fixed-execution-time process and an adjustable-execution-time process will execute. The processor device further determines a maximum execution time interval for the adjustable-execution-time process, based on the maximum cycle time interval and a fixed execution time interval for the fixed-execution-time process. The processor device then modifies an adjustable execution time interval for adjustable-execution-time process in the current iteration of the processing workload based on the maximum execution time interval.

Abstract: Iterative workload processing having a mandatory processing task and a preferred processing task. A processor device iteratively performs a processing workload that comprises a mandatory processing task and a preferred processing task. The mandatory processing task includes accessing a plurality of input messages that have not yet been processed, and the preferred processing task has a target timeframe within which to be performed. For each iteration, a maximum preferred processing task amount of time to perform the preferred processing task is determined based on a moving average of mandatory processing task times of previous iterations and based on the target timeframe. The preferred processing task is performed for a period of time no greater than the maximum preferred processing task amount of time.

Abstract: A thermal management system is provided that includes a cold-head cryocooler and a cooling jacket. The cold-head cryocooler is configured to be operably coupled to a helium vessel of an MRI system, and is configured to cool at least one of superconducting magnets or a thermal shield of the MRI system. The cooling jacket has an outer surface defining a sleeve exterior, and includes a pathway disposed radially internally of the sleeve exterior defined by the cooling jacket. The cooling jacket is configured to receive boil-off gas from the helium vessel to be circulated through the pathway to cool the cold-head cryocooler.