Abstract: The present disclosure pertains to a system for delivering location information between a calling party and a called party call including a processor (202), communicatively coupled to a first mobile computing device (106), and a second mobile computing device (110). The first mobile computing device (106), and the second mobile computing device (110) can include a set of sensors configured to determine location of the first mobile computing device (106), and the second mobile computing device (110). The processor (202) can be configured to determine a first displayable location code and a second displayable location code and facilitates transmitting and displaying the first displayable location code to the second mobile computing device (110), and the second displayable location code to the first mobile computing device (106) in online mode. The system (102) can be configured to display the first displayable location code and the second displayable location code in form of audio, text, pop up.

Abstract: Systems, devices, and techniques are disclosed for network security policy management. A file including code written using a Domain Specific Language (DSL) for network security may be received. A cloud native enforcement artifact may be generated from the code written using DSL in the file. A policy domain model including hierarchical data, relational data, and graph data for a network security policy may be generated from the code written using DSL in the file and the cloud native enforcement artifact. The policy domain model may be stored in a persistent storage.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes receiving a match query from a customer relationship management system that transmitted the match query responsive to a user using an interface to trigger an update of records in the customer relationship management system that were previously imported from the DAAS system, querying for records in the dataset that match records in the customer relationship management system previously imported from the DAAS system, the querying configured at run time according to metadata that identifies, for records in the dataset, a field to match on and a match threshold, and producing a match query result that includes records in the dataset to be imported to update records that were previously imported from the DAAS system.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: A network connectivity system identifies potential connection mechanisms between datacenter entities (e.g., between service instances) on the cloud platform. The network connectivity system provides recommendations including one or more connectivity paths that are preferred with respect to one or more indicators, for example, cost, latency, or security. Specifically, the network connectivity system receives a request to configure a network connection between a first service instance and a second service instance on the cloud platform. The first service instance and the second service instance may reside within the same or different datacenters, different geographical locations, and the like. A network connectivity system identifies, from network connectivity information, one or more connectivity mechanisms for establishing connection between a first datacenter entity (e.g., first service instance) and a second datacenter entity (e.g., second service instance).

Abstract: Examples include a method of predictive rate limiting for performing services requested by a client in a cloud computing system. The method includes receiving a request from a client for one of a plurality of services to be performed, the client belonging to an organization; and determining a current threshold for the organization by applying a real time data model and a historical data model, the real time data model generating a first threshold at least in part by determining a number of requests received from the organization over a first preceding period of time; the historical data model generating a second threshold, the historical data model being generated by applying a machine learning model to historical data stored during processing of previous requests for the plurality of services from the organization over a second preceding period of time, the current threshold being the average of the first threshold and the second threshold.

Abstract: An online system performs predictions for real-time tasks and near real-time tasks that need to be performed by a deadline. A client device receives a real-time machine learning based model associated with a measure of accuracy. If the client device determines that a task can be performed using predictions having less than the specified measure of accuracy, the client device uses the real-time machine learning based model. If the client device determines that a higher level of accuracy of results is required, the client device sends a request to an online system. The online system provides a prediction along with a string representing a rationale for the prediction.

Abstract: A method for visualizing network flows of a network is provided. The method monitors network flows between a group of machines in a network. The method associates identifiers with the monitored network flows. The method aggregates the monitored network flows into a set of groups based on the associated identifiers. The method displays a set of flow records for the each group of the set of groups.

Abstract: An online system performs predictions for real-time tasks and near real-time tasks based on available network bandwidth. A client device receives a regression based machine learning model. Responsive to receiving a task, the client device determines an available network bandwidth for the client device. If the available network bandwidth is below a threshold, the client device uses the regression based machine learning model to perform the task. If the client device determines that the network bandwidth is above the threshold, the client device extracts features of the task, serializes the extracted features, and transmits the serialized features to an online system, causing the online system to use a different machine learning model to perform the task based on the serialized features.

Abstract: In an example, an apparatus may include a validation module configured to identify a security policy update from a security as code repository, wherein the identified security policy update is a candidate for deployment to a production environment having a plurality of attributes defined by an infrastructure as code repository; identify, from the plurality of attributes and using the infrastructure as code repository, individual attributes that correspond to the identified security policy update, wherein the identified individual attributes are identical to a subset of the plurality of attributes; generate a test environment based on the identified individual attributes; following deployment of the identified security policy update to the test environment, check for security exceptions or availability exceptions using the test environment; and output validation results based on a result of the checking. Other embodiments may be disclosed and/or claimed.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: An online system performs predictions for real-time tasks and near real-time tasks that need to be performed by a deadline. A client device receives a real-time machine learning based model associated with a measure of accuracy. If the client device determines that a task can be performed using predictions having less than the specified measure of accuracy, the client device uses the real-time machine learning based model. If the client device determines that a higher level of accuracy of results is required, the client device sends a request to an online system. The online system provides a prediction along with a string representing a rationale for the prediction.

Abstract: A method for configuring the operation of the software of a data as a service (DAAS) system during run time is described. The configuring includes at least one of configuring ingestion of a vendor dataset to produce an ingested dataset and which analysis operations to perform on the vendor dataset to produce an analyzed dataset, and the configuring also includes at least one of how to search the vendor dataset based on a search query from a customer to allow the customer to locate a new record from the vendor dataset and how to match records in the vendor dataset with a match query from the customer to provide an updated record to the customer.

Abstract: A method of automatically identifying and recreating tenants environment issues in a set of datacenters by a workflow replay tool is provided. Each datacenter includes a network manager server. The method analyzes, by the workflow replay tool, a set of log files generated in the particular tenant's environment to identify tenant's workflows. The method analyzes, by the workflow replay tool, network manager server databases of the tenant's environment to identify the logical entities in the tenant environment used by the identified workflows. The method allocates resources in a lab environment to simulate the tenant's environment. The method reruns the identified tenant's workflows by the workflow replay tool using the allocated resources in the lab environment to recreate tenant environment issues.

Abstract: A server computing system generates a universally unique identifier (UUID) associated with a first application, the UUID to be encrypted using a private key associated with the first application to generate a first digital signature. The server computing system generates a first session key associated with the first application, the first digital signature to be encrypted using the first session key to generate a first encrypted digital signature. The server computing system encrypts the first session key using a public key associated with a second application to generate a first encrypted session key, wherein the first application and the second application are deployed with the PaaS associated with the server computing system. The server computing system transmits the UUID, the first encrypted digital signature, and the first encrypted session key to the second application using hypertext transfer protocol (HTTP) to enable the second application to authenticate the first application.

Abstract: A method of automatically identifying and recreating tenants environment issues in a set of datacenters by a workflow replay tool is provided. Each datacenter includes a network manager server. The method analyzes, by the workflow replay tool, a set of log files generated in the particular tenant's environment to identify tenant's workflows. The method analyzes, by the workflow replay tool, network manager server databases of the tenant's environment to identify the logical entities in the tenant environment used by the identified workflows. The method allocates resources in a lab environment to simulate the tenant's environment. The method reruns the identified tenant's workflows by the workflow replay tool using the allocated resources in the lab environment to recreate tenant environment issues.

Abstract: A method of configuring networking, security, and operational parameters of workloads deployed in a virtualized computing environment includes the steps of: storing multiple policies, each defining one of networking, security, or operational parameters, and associating tags to each of the multiple policies, independent of deployment of a virtual computing instance in the virtual computing environment; responsive to a request to perform configuration of a virtual computing instance being deployed, retrieving policies among the stored multiple policies that are associated with same tags as tags contained in the request; generating configuration parameters for data path components in a host machine of the virtual computing instance and for data path components of the virtual computing instance based on the retrieved policies; and transmitting the generated configuration parameters to the host machine for the host machine to configure the networking, security, or operational parameters the virtual computing insta

Abstract: Systems, methods, and software to enhance the management of software defined networks. A controller is configured to maintain a data plane configuration for a virtual machine environment based on forwarding rules. The controller is further configured to identify a virtual machine group to be deployed in the computing environment, and identify tags associated with each virtual machine in the virtual machine group. Once the tags are identified, the controller may update the data plane forwarding configuration based on the identified tags and the forwarding rules.

Abstract: A novel method for managing firewall configuration of a software defined data center is provided. Such a firewall configuration is divided into multiple sections that each contains a set of firewall rules. Each tenant of the software defined data center has a corresponding set of sections in the firewall configuration. The method allows each tenant to independently access and update/manage its own corresponding set of sections. Multiple tenants or users are allowed to make changes to the firewall configuration simultaneously.

Abstract: A method for visualizing network flows of a network is provided. The method monitors network flows between a group of machines in a network. The method associates identifiers with the monitored network flows. The method aggregates the monitored network flows into a set of groups based on the associated identifiers. The method displays a set of flow records for the each group of the set of groups.