Vmware, Inc.

Shankari Kalyanaraman

Anne Holler

Pradeep Padala

Rean Griffith

Xiaoyun Zhu

Vijayaraghavan Soundararajan

Adarsh Jagadeeshwaran

Pinar Yanardag Delul

Ganesha Shanmuganathan

A system and method for performing an operational metric analysis for a virtual appliance uses application operational data from multiple instances of the virtual appliance. The application operational data is then used to generate an operational metric prediction for the virtual appliance.

Crowd-sourced operational metric analysis of virtual appliances

Embodiments perform opportunistically proactive resource scheduling for a plurality of resource-consuming entities. The scheduling is based on both current entitlement (or demand) by the entities and predicted future entitlement (or demand) by the entities. Resources are allocated based on the current demands, while any remaining resource capacity is further allocated to entities based on predicted demands. In some embodiments, the scheduling is performed on a cluster of hosts executing a plurality of virtual machines (VMs) in a virtualized datacenter to implement load balancing.

Opportunistically proactive resource management using spare capacity

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Mountain View, CA, United States of America

Shankari Kalyanaraman