The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 31, 2020

Filed:

May. 16, 2017
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Andrew J. Peacock, Seattle, WA (US);

Cheryl Couris, Seattle, WA (US);

Christina Storm, Seattle, WA (US);

Amir Netz, Bellevue, WA (US);

Chiu Ying Cheung, Redmond, WA (US);

Michael J. Flasko, Kirkland, WA (US);

Kevin Grealish, Seattle, WA (US);

Giovanni M. Della-Libera, Redmond, WA (US);

Sonia P. Carlson, Redmond, WA (US);

Mark W. Heninger, Preston, WA (US);

Paula M. Bach, Redmond, WA (US);

David J. Nettleton, Seattle, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/46 (2006.01); G06F 9/52 (2006.01); G06F 3/0482 (2013.01); G06F 3/0484 (2013.01); G06Q 10/06 (2012.01);
U.S. Cl.
CPC ...
G06F 9/52 (2013.01); G06F 3/0482 (2013.01); G06F 3/04842 (2013.01); G06Q 10/06311 (2013.01);
Abstract

Job execution can be scheduled and monitored. Execution of a job results in generation of one or more data slices, which can be consumed as input by one or more related jobs. Data slices can be presented in an interactive view. Selection of a data slice in the view can trigger automatic identification of related data slices based on dependencies between data slices. Each data slice can also include and be presented with a status indicating the availability of corresponding data, such as pending, ready, or failed. Furthermore, selection of a data slice that failed to generate successfully can trigger identification of related data slices that failed or are predicted to fail to generate successfully.


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