Microsoft Technology Licensing, LLC

Ricardo Gouvêa Bianchini

Alok Gautam Kumbhare

Marcus Felipe Fontoura

Ioannis Manousakis

Ashish Raniwala

Tristan Anthony Brown

Inigo Goiri Presa

Kyle Edward Woolcock

Brijesh Warrier

Ojasvi Choudhary

Thomas Moscibroda

Christian L Belady

Husam Atallah Alissa

Winston Allen Saunders

Ke Wang

David Thomas Gauthier

Brian A Janous

Yimin Deng

Osvaldo Patricio Morales

Aditya Bhandari

Sameh Elnikety

Mark Alan Monroe

Chandrasekhar Pasupuleti

Nithish Mahalingam

Brian Jacob Corell

Lalu Vannankandy Kunnath

Ehsan Nasr Azadani

Sean Patrick Abbott

Alper Gun

Rodrigo Lemos De Assis

Upshur Bagwell Quinby, V

Pulkit Ambikanandan Misra

Majid Jalili

Kapil Arya

A power controller allocates input power to a datacenter between computing power for computing services, backup power, and overhead power for overhead systems. The power controller reallocates the overhead power and/or the backup power to the computing power. This may increase the overall utilization of the datacenter by allowing additional processing power of the servers to be used.

Allocating power between overhead, backup, and computing power services

The present disclosure relates to systems, methods, and computer readable media for optimizing resource allocation on a computing zone based on bursting data and in accordance with an allocation policy. For example, systems disclosed herein may implement a lifetime-aware allocation of computing resources to facilitate computational bursting on respective server nodes to prioritize different aspects of performance on the server nodes of a cloud computing system. The systems described herein provide a number of benefits, including, by way of example, facilitating an allocation policy that enables more densely packing virtual machines on respective server nodes, boosting individual virtual machine performance, and reducing a buffer of empty nodes that need to be maintained on one or more node clusters. This may include more densely packing virtual machines on respective server nodes.

Managing computational bursting on server nodes

Techniques of virtual machine operation management are disclosed herein. In one embodiment, a technique includes determining an operating parameter to be set for executing any processes for a virtual machine with a CPU on a server upon detecting that a process corresponding to the virtual machine hosted on the server is assigned and scheduled to be executed by a processor of the CPU. The technique can then include programming the processor of the CPU assigned to execute the process according to the operating parameter in the accessed parameter record. Upon completion of programing the one of the multiple processors, the process corresponding to the virtual machine can be executed with the processor of the CPU to achieve a target performance level associated with the virtual machine.

Virtual machine operation management in computing devices

The present disclosure describes a type of virtual machine, which the present disclosure may refer to as a harvest virtual machine, that may allow improved utilization of physical computing resources on a cloud-computing system. First, the harvest virtual machine may be evictable. In other words, higher priority virtual machines may preempt the harvest virtual machine's access to physical computing resources. Second, the harvest virtual machine may receive access to a dynamic amount of physical computing resources during the course of its operating life. Third, the harvest virtual machine may have a minimum size (in terms of an amount of physical computing resources) and may terminate whenever the harvest virtual machine has access to an amount of physical computing resources less than the minimum size.

Harvest virtual machine for utilizing cloud-computing resources

The present disclosure relates to systems, methods, and computer readable media for enabling server devices to utilize a higher percentage of power resources while maintaining sufficient availability of power resources of a datacenter or other collection of server devices. For example, systems disclosed herein determine and implement power shaving actions based on virtual machine metadata and in accordance with a power shaving policy to facilitate a significantly higher utilization of power resources on a datacenter during normal operation as well as within periods of limited power capacity on various server devices. Systems described herein provide more efficient utilization of power resources while maintaining service availability guarantees for a variety of virtual machines hosted by servers of the datacenter.

Managing power resources for pools of virtual machines

Techniques of virtual machine operation management are disclosed herein. In one embodiment, a technique includes determining an operating parameter to be set for executing any processes for a virtual machine with a CPU on a server upon detecting that a process corresponding to the virtual machine hosted on the server is assigned and scheduled to be executed by a processor of the CPU. The technique can then include programming the processor of the CPU assigned to execute the process according to the operating parameter in the accessed parameter record. Upon completion of programming the one of the multiple processors, the process corresponding to the virtual machine can be executed with the processor of the CPU to achieve a target performance level associated with the virtual machine.

Growing community of inventors

Bellevue, WA, United States of America

Ricardo Gouvêa Bianchini