Microsoft Technology Licensing, LLC

Nisarg Tarakkumar Sheth

Ajay Mani

Thomas Moscibroda

Yong Xu

Qingwei Lin

Marcus Felipe Fontoura

Karthikeyan Subramanian

Si Qin

Shandan Zhou

Saurabh Agarwal

Eli Cortez

Sorin Iftimie

Paul Naveen Selvaraj

Wanghai Gu

Ana-Maria Constantin

Sandeep Ramji

Saad Syed

The present disclosure relates to systems, methods, and computer readable media for predicting expansion failures and implementing defragmentation instructions based on the predicted expansion failures and other signals. For example, systems disclosed herein may apply a failure prediction model to determine an expansion failure prediction associated with an estimated likelihood that deployment failures will occur on a node cluster. The systems disclosed herein may further generate defragmentation instructions indicating a severity level that a defragmentation engine may execute on a cluster level to prevent expansion failures while minimizing negative customer impacts. By uniquely generating defragmentation instructions for each node cluster, a cloud computing system can minimize expansion failures, increase resource capacity, reduce costs, and provide access to reliable services to customers.

Predicting expansion failures and defragmenting cluster resources

The present disclosure relates to systems, methods, and computer readable media for rightsizing virtual machine deployments on a cloud computing system. For example, systems disclosed herein may predict utilization of resources for a customer deployment and determine a desired goal state including a deployment of virtual machines having rightsized specifications that align more closely with the predicted utilization. Systems disclosed herein may utilize the goal state in view of the deployment data, policies, and other information to determine an action plan including deployment actions for transitioning a current state of a customer deployment to the goal state. By rightsizing virtual machine deployments, systems described herein may affect more efficient utilization of cloud computing resources and decrease costs associated with over-allocation of cloud computing resources.

Rightsizing virtual machine deployments in a cloud computing environment

The present disclosure relates to systems, methods, and computer readable media that utilize a low-impact live-migration system to reduce unfavorable impacts caused as a result of live-migrating computing containers between physical server devices of a cloud computing system. For example, systems disclosed herein evaluates characteristics of computing containers on server devices to determine a predicted unfavorable impact of live-migrating the computing containers between the server devices. Based on the predicted impact, the systems disclosed herein can selectively identify which computing containers to live-migrate as well as carry out live-migration of the select computing containers in such a way the significantly reduces unfavorable impacts to a customer or client device associated with the computing containers.

Minimizing impact of migrating virtual services

Growing community of inventors

Bothell, WA, United States of America

Nisarg Tarakkumar Sheth