Abstract: Methods and systems are provided for the deployment of machine learning based processes to public clouds. For example, a method for deploying a machine learning based process may include developing and training the machine learning based process to perform an activity, performing at least one of identifying and receiving an identification of a set of one or more public clouds that comply with a set of regulatory criteria used to regulate the activity, selecting a first public cloud of the set of one or more public clouds that complies with the set of regulatory criteria used to regulate the activity, and deploying the machine learning based process to the first public cloud of the set of one or more public clouds.

Abstract: A technique includes providing, by a computer, a portal to provide a catalog describing features of a plurality of cloud services available and to be provided by otherwise unused hardware resources of a plurality of private cloud providers. The technique includes, by the computer, in response to input received through the portal selecting a given cloud service for a tenant, exposing the given cloud service to the tenant. Exposing the given cloud service to the user includes requesting a given cloud provider corresponding to the given cloud service to configure the given cloud provider to provide the given cloud service to the tenant.

Abstract: Some examples relate to collection of performance metrics from a device. In an example, performance metrics for collection from a first device may be selected. The performance metrics may be indexed by assigning an index entry to respective performance metrics on the first device. A fixed sequence of the performance metrics may be maintained on first device. The fixed sequence of the performance metrics along with the index entry assigned to the respective performance metrics may be shared with a second device. A first performance data of the respective performance metrics on first device may be determined. The first performance data of the respective performance metrics may be shared with second device. The sharing may comprise sending, to second device, the index entry and the first performance data of the respective performance metrics in an order corresponding to the fixed sequence of the performance metrics on first device.

Abstract: Some examples relate to collection of performance metrics from a device. In an example, performance metrics for collection from a first device may be selected. The performance metrics may be indexed by assigning an index entry to respective performance metrics on the first device. A fixed sequence of the performance metrics may be maintained on first device. The fixed sequence of the performance metrics along with the index entry assigned to the respective performance metrics may be shared with a second device. A first performance data of the respective performance metrics on first device may be determined. The first performance data of the respective performance metrics may be shared with second device. The sharing may comprise sending, to second device, the index entry and the first performance data of the respective performance metrics in an order corresponding to the fixed sequence of the performance metrics on first device.

Abstract: Methods and systems are provided for the deployment of machine learning based processes to public clouds. For example, a method for deploying a machine learning based process may include developing and training the machine learning based process to perform an activity, performing at least one of identifying and receiving an identification of a set of one or more public clouds that comply with a set of regulatory criteria used to regulate the activity, selecting a first public cloud of the set of one or more public clouds that complies with the set of regulatory criteria used to regulate the activity, and deploying the machine learning based process to the first public cloud of the set of one or more public clouds.

Abstract: A technique includes providing, by a computer, a portal to provide a catalog describing features of a plurality of cloud services available and to be provided by otherwise unused hardware resources of a plurality of private cloud providers. The technique includes, by the computer, in response to input received through the portal selecting a given cloud service for a tenant, exposing the given cloud service to the tenant. Exposing the given cloud service to the user includes requesting a given cloud provider corresponding to the given cloud service to configure the given cloud provider to provide the given cloud service to the tenant.

Abstract: A computer executed method of determining compatible versions of dependent entities of a root entity having a specified version in a computer system. The method comprises building a directed graph containing dependent entities and dividing the directed graph into multiple levels. Compatible versions are determined for entities in upper levels of the directed graph before determining compatible versions for entities in lower levels of the directed graph.

Abstract: A computer executed method of determining compatible versions of dependent entities of a root entity having a specified version in a computer system. The method comprises building a directed graph containing dependent entities and dividing the directed graph into multiple levels. Compatible versions are determined for entities in upper levels of the directed graph before determining compatible versions for entities in lower levels of the directed graph.

Abstract: An embodiment of providing a computer-executed method of subsequence matching is provided. The method comprises receiving a search string. A plurality of subsequences for the search string are stored in a tree structure. The tree structure comprise a plurality of nodes. Each of the plurality of nodes comprises a presence bit map, a sequence bit map, and a list of address pointers. The method further includes traversing the tree structure using the search string, the presence bit map, the sequence bit map, and the list of address pointers. Additionally, the method includes identifying, in linear time, the plurality of subsequences based on the search string, the presence bit map, the sequence bit map, and the list of address pointers.

Abstract: An embodiment of providing a computer-executed method of subsequence matching is provided. The method comprises receiving a search string. A plurality of subsequences for the search string are stored in a tree structure. The tree structure comprise a plurality of nodes. Each of the plurality of nodes comprises a presence bit map, a sequence bit map, and a list of address pointers. The method further includes traversing the tree structure using the search string, the presence bit map, the sequence bit map, and the list of address pointers. Additionally, the method includes identifying, in linear time, the plurality of subsequences based on the search string, the presence bit map, the sequence bit map, and the list of address pointers.