Vmware, Inc.

Moshe Zadka

Daniel Kerry Hiltgen

Osten Kit Colbert

John Powell

Saleem Abdulrasool

Mustafa Jamil

Patrick Devine

Kshitij Vijay Padalkar

Vera Asodi

Timothy Stack

Shankar Unni

Ido Barav

Netta Gavrieli

Ryan Abrams

Andrew Nguyen

Nadav Wexler

Embodiments provide a system including a plurality of objects and a monitoring module coupled to the objects. The monitoring module is configured to determine a health value of each object. The system also includes an optimization module coupled to the monitoring module. The optimization module is configured to receive a user input indicating a utility to be increased within the system, wherein the utility is based on the health value of each object. The optimization module is also configured to identify a plurality of available actions to be performed on each object. Each available action is associated with at least one expected consequence. The optimization module is also configured to calculate an expected utility of each action based on an effect of each expected consequence on the health value of each object and select, from the available actions, an action based on the expected utility for the system.

Performance management of system objects based on consequence probabilities

In a computer-implemented method for scheduling a plan of operations in a datacenter selection of a target from a plurality of targets in the datacenter is enabled for scheduling operations on the selected target. Selection of one or more bundles is enabled, wherein the plan of operations on the selected target are based on the one or more bundles. Dependency relationships between the selected target and other targets in the plurality of targets are determined based on the selection of one or more bundles. The plan of operations on the selected target is scheduled.

Scheduling a plan of operations in a datacenter

Combining profiles based on priorities associated therewith to create an effective profile are provided. A plurality of profiles defining one or more rules that are applicable to a functional computing object are identified. A priority corresponding to each applicable profile is determined. The applicable profiles are combined by the computing device based on the corresponding priorities to create an effective profile that includes no conflicting rules.

Combining profiles based on priorities

In a computer-implemented method for a unified graphical user interface for displaying a plan of operations in a datacenter metadata is accessed from a plurality of disparate software bundles for updating targets in a datacenter. A unified visualization of a plan of operations on the targets is displayed via a unified graphical user interface based on the accessed metadata, wherein the unified graphical user interface displays the plan of operations with a common look and feel.

Unified graphical user interface for displaying a plan of operations in a datacenter

The current document discloses an automated method and system for inferring the logical rules underlying the configuration and versioning state of the components and subcomponents of a complex system, including data centers and other complex computational environments. The methods and systems employ a database of configuration information and construct an initial set of logical rules, or hypotheses, regarding system configuration. Then, using simulated annealing and a variant of genetic programming, the methods and systems disclosed in the current document carry out a search through the hypothesis state space for the system under several constrains in order to find one or more hypotheses that best explain the configuration and, when available, configuration history. The constraints include minimization of the complexity of the hypotheses and maximizing the accuracy by which the hypotheses predict observed configuration and configuration history.

Method and system for determining configuration rules based on configurations of complex systems

A method and program product are provided for implementing object state changes in a data network system that includes at least one application having a plurality of objects. Each object is capable of being in of a plurality of different object states. The method comprises utilizing a network monitor to identify potential object state anomaly candidates from among the plurality of objects and utilizing object measurements taken during a predetermined time segment to determine if the current object state of a potential object state anomaly candidate should change from the current object state to an updated object state.

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San Mateo, CA, United States of America

Moshe Zadka