Emc IP Holding Company LLC

Emc Corporation

Chaithanya Lekkalapudi

Alex Rankov

Sameer Mukund Kachare

Ilya Khudoshin

Sateesh Arvapally

Alexey Nikulin

A method for predictive loading of software resources in a web application includes predicting a future state of the web application, determining the software resources required by the first predicted future state, and loading the software resources required by the first predicted future state. Determining that future predicated state further includes determining an associated probability for each possible future state in the first set of possible future states, identifying, from the first set of possible future states, a first predicted future state with the highest associated probability, and predicting a first set of possible future states based on a current state, run-time application context, and either use case data or historical application usage data.

Method and system for predictive loading of software resources

In general, embodiments of the technology relate to a method for predictive loading of software resources in web applications. The method includes determining, based on a current state of the web application, one or more predicted future states of the web application. Determining the predicted future states includes predicting a first set of possible future states based on use case data and determining an associated probability for each possible future state in the first set of possible future states, and identifying, from the first set of possible future states, a first predicted future state. The first predicted future state is the possible future state in the first set of possible future states with the highest associated probability. The method further includes determining resources required by the predicted future states, and loading the resources required by the predicted future states.

Systems and methods are provided for automatically configuring resources of a deployment environment so that the resources can be monitored by a resource monitoring program. In an implementation, a blueprint having a representation of a deployment topology of the environment is received. A resource template that specifies an inventory model of the resource monitoring program is received. Resources listed in the blueprint are configured according the inventory model specified in the template, thereby allowing the resources to be monitored by the resource monitoring program.

Method and system for configuring resources to enable resource monitoring

Multi-dimensional logging for enterprise applications is described. A computer executes a logging mechanism. The logging mechanism receives, via a user interface, selections of log detail levels that range from a minimum log detail level to a maximum log detail level, of contexts that include at least two of an analytics context, a security context, a performance context, and a health context, and use cases that include at least two of an export use case, a save use case, an import use case, a check-in use case, and a check-out use case. The logging mechanism creates a multi-dimensional logging artifact based on selections of log detail levels, contexts, and use cases, and utilizes the multi-dimensional logging artifact with log data to create refined log data based on the selections of log detail levels, contexts, and use cases. The refined log data assists a user in evaluating an enterprise application.

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Chaithanya Lekkalapudi