Abstract: An example method is provided to collect telemetry data of an object in a virtualized infrastructure at a customer's premise based on a manifest for the telemetry data. The method includes receiving a request for the telemetry service and storing the request in a first queue, retrieving the request from the first queue, determining if the customer has agreed to share the telemetry data from the virtualized infrastructure, and retrieving a manifest for the telemetry data from a cloud analytics site remote from the customer's premise, the manifest defining a telemetry level defining an amount of the telemetry data to be collected. When the customer has agreed to share the telemetry data from the virtualized infrastructure and the telemetry level is not off, the method also includes uploading the collected telemetry data to the cloud analytics site.

Abstract: A method is provided to enhance a virtualized infrastructure at a customer's premise with a cloud analytics service. The method includes receive a request for an expert use case on an expertise about an object in the virtualized infrastructure and performing an expertise cycle on the expert use case, which includes retrieving a manifest for the expert use case from a cloud analytics site remote from the customer's premise, collecting the telemetry data from the virtualized infrastructure based on the manifest, uploading the collected telemetry data to the cloud analytics site, and retrieving an expertise result for the expert use case from the cloud analytics site. The method further includes communicating the expertise result about the object to the customer and changing a configuration of the object.

Abstract: A method is provided to enhance a virtualized infrastructure at a customer's premise with a cloud analytics service. The method includes receive a request for an expert use case on an expertise about an object in the virtualized infrastructure and performing an expertise cycle on the expert use case, which includes retrieving a manifest for the expert use case from a cloud analytics site remote from the customer's premise, collecting the telemetry data from the virtualized infrastructure based on the manifest, uploading the collected telemetry data to the cloud analytics site, and retrieving an expertise result for the expert use case from the cloud analytics site. The method further includes communicating the expertise result about the object to the customer and changing a configuration of the object.

Abstract: A calculation engine computes equation(s) based upon dependencies between variables, both initially input and as calculated from various fragmented sub expressions. The calculation engine accommodates relationships between equations, with output variable(s) of one equation possibly serving as input to another equation in a chain. Initially, the calculation engine sorts equations based upon their relationship to each other and to the input variables. The calculation engine next fragments the equations' expressions into various sub expressions. This fragmenting may be according to an order of operations (e.g., brackets/parentheses, then exponents/powers, then multiplication/division). Sub expressions ultimately resulting from fragmentation process, may comprise unary expressions, binary expressions, or expressions involving three or more operations at a same level of priority. Upon rationalizing an order of the fragments, the engine may evaluate units (e.g.

Abstract: A calculation engine computes equation(s) based upon dependencies between variables, both initially input and as calculated from various fragmented sub expressions. The calculation engine accommodates relationships between equations, with output variable(s) of one equation possibly serving as input to another equation in a chain. Initially, the calculation engine sorts equations based upon their relationship to each other and to the input variables. The calculation engine next fragments the equations' expressions into various sub expressions. This fragmenting may be according to an order of operations (e.g., brackets/parentheses, then exponents/powers, then multiplication/division). Sub expressions ultimately resulting from fragmentation process, may comprise unary expressions, binary expressions, or expressions involving three or more operations at a same level of priority. Upon rationalizing an order of the fragments, the engine may evaluate units (e.g.