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:
Dec. 12, 2017

Filed:

Jun. 18, 2014
Applicant:

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

Inventors:

Stephen Siciliano, Bellevue, WA (US);

Charles Lamanna, Bellevue, WA (US);

Ilya Grebnov, Bellevue, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/30 (2006.01); G06F 11/34 (2006.01); H04L 12/24 (2006.01); H04L 12/26 (2006.01); H04L 12/923 (2013.01); G06F 9/50 (2006.01);
U.S. Cl.
CPC ...
G06F 11/3034 (2013.01); G06F 9/5072 (2013.01); G06F 9/5083 (2013.01); G06F 11/3419 (2013.01); H04L 41/147 (2013.01); H04L 41/5054 (2013.01); H04L 43/08 (2013.01); H04L 47/762 (2013.01); G06F 2209/5019 (2013.01);
Abstract

Embodiments are directed to determining an optimal number of concurrently running cloud resource instances and to providing an interactive interface that shows projected operational metric measurements. In one scenario, a computer system accesses metric information which identifies operational metric measurements, and further accesses a second portion of metric information that identifies operational metric measurements for the cloud resource instances over a second period of time. The computer system then calculates projected operational metric measurements based on the identified operational metric measurements over the first period of time (e.g. for reactive tuning) and further based on the identified operational metric measurements over the second period of time (e.g. for predictive tuning). The computer system then determines, based on the projected operational metric measurements, a number of cloud resource instances that are to be concurrently running at a specified future point in time.


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