Abstract: An electrochemical cell and battery system including cells, each cell including a catholyte, an anolyte, and a separator disposed between the catholyte and anolyte and that is permeable to the at least one ionic species (for example, a metal cation or the hydroxide ion). The catholyte solution includes a ferricyanide, permanganate, manganate, sulfur, and/or polysulfide compound, and the anolyte includes a sulfide and/or polysulfide compound. These electrochemical couples may be embodied in various physical architectures, including static (non-flowing) architectures or in flow battery (flowing) architectures.

Abstract: Techniques for configuring an asynchronous task queue are disclosed. An example method includes enqueuing, by at least one hardware processor of a first computing node, a task in a task queue. The at least one hardware processor detects a lease request for the task. The lease request is received from a second computing node. The at least one hardware processor initiates a lease of the task to the second computing node. The at least one hardware processor updates a state of the task based on the lease. The at least one hardware processor determines whether to dequeue the task based on a task processing update received from the second computing node.

Abstract: Methods, systems, and computer program products for using a confidence measure to automatically identify a diagnostic analyzer that applies to a diagnostic artifact. A plurality of diagnostic analyzers are each configured to analyze diagnostic artifacts relating to prior executions of software entities. A confidence measure is calculated for each diagnostic analyzer. Each confidence measure indicates a likelihood that the diagnostic analyzer applies to a particular diagnostic artifact. Calculating each confidence measure comprises applying one or more heuristics specific to the diagnostic analyzer against the particular diagnostic artifact, with an outcome of application of each heuristic contributing to the confidence measure for the respective diagnostic analyzer.

Abstract: Methods, systems, and computer program products for using a confidence measure to automatically identify a diagnostic analyzer that applies to a diagnostic artifact. A plurality of diagnostic analyzers are each configured to analyze diagnostic artifacts relating to prior executions of software entities. A confidence measure is calculated for each diagnostic analyzer. Each confidence measure indicates a likelihood that the diagnostic analyzer applies to a particular diagnostic artifact. Calculating each confidence measure comprises applying one or more heuristics specific to the diagnostic analyzer against the particular diagnostic artifact, with an outcome of application of each heuristic contributing to the confidence measure for the respective diagnostic analyzer.