Disclosed are systems, methods, and non-transitory computer-readable media for message routing optimization. The message routing optimization system receives requests to transmit messages to recipient devices. The message routing optimization system determines whether to allocate the messages to an optimal routing provider or a secondary routing provider. The message routing optimization ranks the set of routing providers based on a conversion rate index and determines the optimal routing and secondary routing providers based on the ranking. The message routing optimization system allocates messages to the selected routing providers to be delivered to their intended recipients.

A routing protocol, the routing protocol includes the steps of: receiving a packet at an ingress node of a distributed router, the ingress node having an ingress node address, and the packet having a packet header containing a global destination address; converting the global destination address into a local destination address, the local destination address identifying a location on the distributed router; and routing the packet to the local destination address. A distributed router includes a plurality of internal network nodes, the plurality of internal network nodes including an ingress node configured to receive a packet, the ingress node having an ingress node address, and the packet having a packet header containing a global destination address for that packet; means for converting the global destination address into a local destination address, the local destination address identifying a location on the distributed router; and a routing engine configured to route the packet to the local destination address.

A method includes a computing device receiving a sort request regarding data of a table. The method further includes the computing device determining probability traits of the data. The method further includes the computing device dividing the sort request into sub-sort requests based on the probability traits. The method further includes the computing device identifying processing core resources to perform the sub-sort requests based on the probability traits. The method further includes the computing device allocating the sub-sort requests to the identified processing core resources in accordance with the probability traits. The method further includes the computing device allocating data portions to the identified processing core resources in accordance with the probability traits. The method further includes the computing core resources executing allocated sub-sort requests on corresponding divided data portions to produce sorted data portions. The method further includes the computing device joining the sorted data portions.

Systems and methods are disclosed for configuring a communications network. In disclosed embodiments, a set of permissible service link decompositions and a set of basic service links may be obtained for the communications network. A spanning subset of service links for the communications may be generated. Generation of the spanning subset may include selecting a decomposition of a first service link from a set of permissible service link decompositions; updating the set of permissible service link decompositions based on the selected decomposition; and updating the set of basic service links using the updated set of permissible service link decompositions. In some embodiments, obtaining the set of permissible service link decompositions can include generating a set of permissible service link decompositions by traversing decomposition graphs generated for each of the service links. In some embodiments, the communications network can be configured to satisfy network demands using the spanning subset.

A network diversity resolution system comprising: a diversity assessment tool, the diversity assessment tool including a path finding module and a sampling module that communicate with an input/output device; the path finding module communicates with an enterprise data warehouse; the path finding module configured to search through a network inventory stored in the enterprise data warehouse, the path finding module constructing a representation to identify at least two representative paths between a selected first end point and a second end point; wherein the at least two representative paths meets at least a capacity requirement between the first end point and the second end point; and wherein the sampling module generates at least one circuit reassignment plan based on the at least two representative paths, wherein the sampling module provides a score for each of the at least one circuit reassignment plan, wherein the score is based on at least one of a machine preference, path length, and number of changes to implement the at least one circuit reassignment plan, wherein the at least one circuit reassignment plan incorporates at least one representative path having a highest score.

Aspects of the subject disclosure may include, for example, embodiments and a method. The method includes iteratively providing messages to each Node Processor. Each Node Processor represents a node of a group of nodes. The iteratively providing of the messages comprises providing first messages. Each first message includes a cost associated with a path of nodes visited by each first message. A selected path is obtained from each node having a lowest cost of a group of common endpoint costs for paths having common endpoints. A next group of messages includes the selected path. The iteratively providing of the messages results in selected paths. Also, the method include determining a target path from a remaining path. Other embodiments are disclosed.

Disclosed are systems, methods, and non-transitory computer-readable media for message routing optimization. The message routing optimization system receives requests to transmit messages to recipient devices. The message routing optimization system determines whether to allocate the messages to an optimal routing provider or a secondary routing provider. The message routing optimization ranks the set of routing providers based on a conversion rate index and determines the optimal routing and secondary routing providers based on the ranking. The message routing optimization system allocates messages to the selected routing providers to be delivered to their intended recipients.

Exemplary memory storage system and methods for distributive storage of data. Exemplary embodiments provide methods and systems including a plurality of nodes where each node has memory for storing data. The nodes may be configured to receive data and store the data at the node if the data is intended for the node or pass the data to another node if the data is not intended for the node. The nodes may manage memory and allocation of specific memory addresses locally, while the system of nodes manages memory based on a naming convention to indicate the nodes and not the individual memory addresses within a node.

Aspects of the subject disclosure may include, for example, embodiments and a method. The method includes iteratively providing messages to each Node Processor. Each Node Processor represents a node of a group of nodes. The iteratively providing of the messages comprises providing first messages. Each first message includes a cost associated with a path of nodes visited by each first message. A selected path is obtained from each node having a lowest cost of a group of common endpoint costs for paths having common endpoints. A next group of messages includes the selected path. The iteratively providing of the messages results in selected paths. Also, the method include determining a target path from a remaining path. Other embodiments are disclosed.

In some implementations, a message indicating a request for delivery of data to user equipment (UE) (e.g. an IoT device) operative for communications in a mobile network may be received from an application server. One or more first loading or congestion indication values indicative of a first loading or congestion at one or more first network nodes along a first mobile network route may be obtained. In addition, one or more second loading or congestion indication values indicative of a second loading or congestion at one or more second network nodes along a second mobile network route may be obtained. The first or the second mobile network route may be selected based on at least one of the one or more first and the second loading or congestion indication values. The data may be delivered to the UE over the selected mobile network route.