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Jetflow Technologies

Mark Glines

Rishi Lee Khan

Brian Phillips

Samuel Kaplan

Brian Heilig

Robert Coleman Springer, Iv

Adam Markey

Christopher Galen Lauderdale

Douglas Danger Manley

Joel Denny

Ningjing Saponaro

Petar Pirgov

John Tully

Apparatus and associated methods relate to constructing a resource and attribute tasking solution to complete a user's objective with resource and attribute characteristics defining the tasked objects, in response to receiving a task definition, and satisfying a task definition constraint. An object includes of a set of resource and attribute dimensions each of which have a set of possible values. A tasking solution is the union of all valid solution vectors in the dimension space. The solution identifies all valid values to present to a user or other agent to make further decisions on further constraining resource and attribute characteristics for a final materializable tasking. In an illustrative example, the objective may be mapping resource supply to task demand. The task demand may be, for example, delivering a database-as-a-service platform configured based on rules generated to satisfy task definition capacity constraints. In some examples, the resource supply may include computing and communication resources configurable to provide access to the platform via a network cloud. Exemplary platforms delivered at different times may be configured with different resources and attributes, based on constructing a tasking solution determined from the available resource supply as a function of time. Various examples may advantageously provide optimized on-demand tasking solutions, configuring a user's available resource supply to complete the user's objective while satisfying task definition constraints.

Rule generation and tasking resources and attributes to objects system and method

A data processing task may be implemented in a distributed computing system by the use of a workflow broken into flowlets that are arranged in a directed acyclic graph between data sources and data sinks. Such an arrangement may include various flow control and/or fault tolerance schemes, among other features.

Flowlet-based processing

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Newark, DE, United States of America

Mark Glines