Vmware, Inc.

Adarsh Jagadeeshwaran

Vijayaraghavan Soundararajan

Anne Holler

Xiaoyun Zhu

Pradeep Padala

Rean Griffith

Sai Inabattini

Shankari Kalyanaraman

Pinar Yanardag Delul

Sairam Veeraswamy

Kalyan Saladi

Joshua Philip Schnee

Priya Kalaiselvan

Shalini Singh

Shiva Ds

Shashank Rai

Harsh Hirani

Described herein are systems, methods, and software to manage power consumption in a software build environment. In one implementation, a monitoring service monitors power consumption information associated with a build environment for one or more software components. The monitoring service further identifies one or more trends associated with the power consumption information based at least on the power consumption information satisfying one or more criteria and generates a summary for display that indicates at least the one or more trends. The monitoring service may also identify and display as part of the summary one or more suggestions to improve power consumption based on the one or more trends.

Managing power consumption in a software build environment

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

Techniques for representative-based approach to store historical resource usage data are disclosed. In one embodiment, a management node may include a statistical representative computational unit to obtain historical resource usage data associated with a workload running on a host, divide the historical resource usage data into a plurality of pools with each pool comprising a predefined number of resource usage statistics, and determine a statistical representative corresponding to each of the pools. Each statistical representative may represent the predefined number of resource usage statistics in a corresponding one of the pools. Further, the management node may include a monitoring and managing unit to monitor and/or manage the workload using the statistical representatives.

Representative-based approach to store historical resource usage data

A management server and method for load balancing a cluster of host computers analyzes load metrics of clients naming on the host computers in the cluster to select a first client that can be migrated from a first host computer in the cluster to a second host computer in the cluster to improve load balance for the cluster and a second client running on the second host computer that can be swapped with the first client running on the first host computer for a client swapping operation. The client swapping operation involves simultaneously migrating the first client from the first host computer to the second host computer and migrating the second client from the second host computer to the first host computer.

Load balancing using a client swapping operation

Growing community of inventors

Bengaluru, India

Adarsh Jagadeeshwaran