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:
Aug. 12, 2014

Filed:

Apr. 13, 2011
Applicants:

Edward H. Anderson, Iii, Raleigh, NC (US);

Jason L. Anderson, Milpitas, CA (US);

Gregory J. Boss, Saginaw, MI (US);

Timothy R. Echtenkamp, Lincoln, NE (US);

Daniel E. Jemiolo, Chapel Hill, NC (US);

Inventors:

Edward H. Anderson, III, Raleigh, NC (US);

Jason L. Anderson, Milpitas, CA (US);

Gregory J. Boss, Saginaw, MI (US);

Timothy R. Echtenkamp, Lincoln, NE (US);

Daniel E. Jemiolo, Chapel Hill, NC (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 9/455 (2006.01);
U.S. Cl.
CPC ...
Abstract

Embodiments of the present invention provide an approach for determining starting values of attributes for a requested virtual machine. Specifically, in a typical embodiment, a request for a virtual machine is received from a requester. An image corresponding to the virtual machine is then obtained. A set of statistics pertaining to at least one previous operation of a related virtual machine is analyzed and used to recommend starting values for a set of attributes of the virtual machine (e.g., a processor speed, a memory capacity, a disk capacity, a network capacity, etc.). The starting values can be determined by selecting a graphical curve, which depicts attribute values versus time, pertaining to a particular attribute and then providing recommended the starting values for the attribute based on a position along the graphical curve as determined based upon the analysis of the set of statistics. Thereafter, an instance of the virtual machine that has the starting values can be generated based on the image.


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