Abstract: Embodiments disclosed herein identify a first data asset that is associated with a non-optimized security configuration, based at least in part on metadata associated with the first data asset. Additionally, an optimized security configuration is generated for the first data asset by processing the metadata associated with the first data asset using one or more machine learning models. Furthermore, the optimized security configuration is applied to the first data asset.

Abstract: A method, computer system, and a computer program product for pre-caching resources within a cloud system is provided. The present invention may include enabling auditing. The present invention may also include following Cloud Auditing Data Federation standards. The present invention may then include determining one or more workflow patterns and resource utilizations. The present invention may then include predicting one or more resources. The present invention may lastly include caching the one or more predicted resources.

Abstract: Embodiments disclosed herein identify a first data asset that is associated with a non-optimized security configuration, based at least in part on metadata associated with the first data asset. Additionally, an optimized security configuration is generated for the first data asset by processing the metadata associated with the first data asset using one or more machine learning models. Furthermore, the optimized security configuration is applied to the first data asset.

Abstract: A method, computer system, and a computer program product for pre-caching resources within a cloud system is provided. The present invention may include enabling auditing. The present invention may also include following Cloud Auditing Data Federation standards. The present invention may then include determining one or more workflow patterns and resource utilizations. The present invention may then include predicting one or more resources. The present invention may lastly include caching the one or more predicted resources.

Abstract: A method for modeling dependencies in a computing system including a plurality of resources, the method includes generating usage data based on data communications in a computing environment between a first resource and a second resource; determining resource relationship data for the first resource and the second resource including the usage data; and computing a measure of bonding between the first resource and the second resource based, at least in part, on recency of the data communications.

Abstract: A method for modeling dependencies in a computing system including a plurality of resources, the method includes generating usage data based on data communications in a computing environment between a first resource and a second resource; determining resource relationship data for the first resource and the second resource including the usage data; and computing a measure of bonding between the first resource and the second resource based, at least in part, on recency of the data communications.

Abstract: A method for modeling dependencies in a computing system including a plurality of resources, the method includes monitoring data communications made between the resources of the plurality of resources; modeling dependencies, at least among and between the resources, based, at least in part, upon the monitored data communications; and generating a set of topology graph(s), including at least a first topology graph, based upon the modeled dependencies.

Abstract: A method for modeling dependencies in a computing system including a plurality of resources, the method includes monitoring data communications made between the resources of the plurality of resources; modeling dependencies, at least among and between the resources, based, at least in part, upon the monitored data communications; and generating a set of topology graph(s), including at least a first topology graph, based upon the modeled dependencies.

Abstract: A method for calculating the effect of an action on a network includes creating a mapping of a plurality of devices of a networked computing environment. In one embodiment, the mapping describes a relationship between a primary device and at least one device of the plurality of devices. In another embodiment, the method includes determining a plurality of potential actions to be performed on the primary device. In a further embodiment, the method includes calculating an effect of a potential action of the plurality of potential actions on the plurality of devices in response to simulating performing the potential action on the primary device. In yet another embodiment, the method includes performing an optimization action in response to calculating the effect of the potential action. In certain embodiments, the optimization action maximizes availability of the networked computing environment.

Abstract: An apparatus for calculating the effect of an action on a network includes a mapping module that creates a mapping of a plurality of devices of a networked computing environment. The mapping describes a relationship between a primary device and at least one device of the plurality of devices. The apparatus includes an action module that determines a plurality of potential actions to be performed on the primary device. The apparatus includes a calculation module that calculates an effect of a potential action of the plurality of potential actions on the plurality of devices in response to simulating performing the potential action on the primary device. The apparatus includes an optimization module that performs an optimization action in response to calculating the effect of the potential action. The optimization action maximizes availability of the networked computing environment.

Abstract: A method for calculating the effect of an action on a network includes creating a mapping of a plurality of devices of a networked computing environment. In one embodiment, the mapping describes a relationship between a primary device and at least one device of the plurality of devices. In another embodiment, the method includes determining a plurality of potential actions to be performed on the primary device. In a further embodiment, the method includes calculating an effect of a potential action of the plurality of potential actions on the plurality of devices in response to simulating performing the potential action on the primary device. In yet another embodiment, the method includes performing an optimization action in response to calculating the effect of the potential action. In certain embodiments, the optimization action maximizes availability of the networked computing environment.

Abstract: An apparatus for calculating the effect of an action on a network includes a mapping module that creates a mapping of a plurality of devices of a networked computing environment. The mapping describes a relationship between a primary device and at least one device of the plurality of devices. The apparatus includes an action module that determines a plurality of potential actions to be performed on the primary device. The apparatus includes a calculation module that calculates an effect of a potential action of the plurality of potential actions on the plurality of devices in response to simulating performing the potential action on the primary device. The apparatus includes an optimization module that performs an optimization action in response to calculating the effect of the potential action. The optimization action maximizes availability of the networked computing environment.

Abstract: A method for modeling dependencies in a computing system including a plurality of resources, the method includes monitoring data communications made between the resources of the plurality of resources; modeling dependencies, at least among and between the resources, based, at least in part, upon the monitored data communications; and generating a set of topology graph(s), including at least a first topology graph, based upon the modeled dependencies.

Abstract: A method for modeling dependencies in a computing system including a plurality of resources, the method includes monitoring data communications made between the resources of the plurality of resources; modeling dependencies, at least among and between the resources, based, at least in part, upon the monitored data communications; and generating a set of topology graph(s), including at least a first topology graph, based upon the modeled dependencies.