Auto-scaling of pool of virtual machines based on auto-scaling rules of user associated with the pool

US9372735B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Bradley Gene Calder · Bellevue, US
• Ju Wang · Redmond, US
• Vaman Bedekar · Redmond, US
• Sriram Sankaran · Bellevue, US
• Marvin McNett, II · Redmond, US
• Pradeep Kumar Gunda · Bellevue, US
• Yang Zhang · San Diego, US
• Shyam Antony · Bellevue, US
• Kavitha Manivannan · Redmond, US
• Arild E. Skjolsvold · Kenmore, US
• Hemal Khatri · Redmond, US

Key dates

• Filing date: Jan 9, 2012
• Grant date: Jun 21, 2016
• Expiry date: Nov 3, 2032

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F9/50
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

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.