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.
Patent No.:
Date of Patent:
Jun. 21, 2016
Filed:
Jan. 09, 2012
Bradley Gene Calder, Bellevue, WA (US);
Ju Wang, Redmond, WA (US);
Vaman Bedekar, Redmond, WA (US);
Sriram Sankaran, Bellevue, WA (US);
Marvin Mcnett, Ii, Redmond, WA (US);
Pradeep Kumar Gunda, Bellevue, WA (US);
Yang Zhang, Issaquah, WA (US);
Shyam Antony, Bellevue, WA (US);
Kavitha Manivannan, Redmond, WA (US);
Arild E Skjolsvold, Kenmore, WA (US);
Hemal Khatri, Redmond, WA (US);
Bradley Gene Calder, Bellevue, WA (US);
Ju Wang, Redmond, WA (US);
Vaman Bedekar, Redmond, WA (US);
Sriram Sankaran, Bellevue, WA (US);
Marvin McNett, II, Redmond, WA (US);
Pradeep Kumar Gunda, Bellevue, WA (US);
Yang Zhang, Issaquah, WA (US);
Shyam Antony, Bellevue, WA (US);
Kavitha Manivannan, Redmond, WA (US);
Arild E Skjolsvold, Kenmore, WA (US);
Hemal Khatri, Redmond, WA (US);
MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US);
Abstract
In various embodiments, systems and methods are presented for providing resources by way of a platform as a service in a distributed computing environment to perform a job. The system may be comprised of a number of components, such as a task machine, a task location service machine, and a high-level location service machines that in combination are useable to accomplish functions provided herein. It is contemplated that the system performs methods for providing resources by determining resources of the system, such as virtual machines, and applying auto-scaling rules to the system to scale those resources. Based on the determination of the auto-scaling rules, the resources may be allocated to achieve a desired result.