Patent classifications
H04L67/1021
Content distribution network system and method
Systems and apparatus for providing content distribution network (or CDN) egress and/or ingress functionality and methods for making and using the same. In various embodiments, the system can comprise not only a traditional CDN but also a reverse CDN, wherein edge Points of Presence (or PoPs) can be used as ingest points. The system advantageously can be applied to given emerging workloads, such as autonomous applications, artificial intelligence (AI) applications and Internet of Things (IoT) applications, among other things.
Method, apparatus, medium, and device for scheduling access request
An access request scheduling method includes determining a city and a city operator corresponding to an access source IP segment; selecting, from cloud delivery nodes of the city operator, a preferred node of the access source IP segment; determining a mapping relationship between the access source IP segment and an IP of the preferred node; and issuing the mapping relationship to scheduling agent modules of the cloud delivery nodes in a network.
Systems, methods, and devices for user interface customization based on content data network priming
A computing platform is implemented using a server system. The computing platform is configurable to cause identifying a data event associated with a user based on an interaction between the user and a user interface, and generating a segment data object based on the data event, a unique user identifier, and a segment database, the segment data object characterizing a membership of the user within an audience segment. The computing platform is also configurable to cause identifying a content data network server based on a geographical location of the user, the content data network server being a closest available content data network server to the user, and the content data network server being capable of serving, to the user, one or more data objects associated with metadata customized based on one or more segment data objects, and updating a local storage location of the content data network server.
Systems, methods, and devices for user interface customization based on content data network priming
A computing platform is implemented using a server system. The computing platform is configurable to cause identifying a data event associated with a user based on an interaction between the user and a user interface, and generating a segment data object based on the data event, a unique user identifier, and a segment database, the segment data object characterizing a membership of the user within an audience segment. The computing platform is also configurable to cause identifying a content data network server based on a geographical location of the user, the content data network server being a closest available content data network server to the user, and the content data network server being capable of serving, to the user, one or more data objects associated with metadata customized based on one or more segment data objects, and updating a local storage location of the content data network server.
Method for operating a distributed application
A method for operating a distributed application includes: transmitting, by an application frontend, an initialization request to a registration server via a communication network; selecting, by the registration server, an instance of an application backend and transmitting a fully qualified domain name of the selected instance to the application frontend; transmitting, by the application frontend, a lookup request to a domain name server; transmitting, by the domain name server, an IP address associated with the fully qualified domain name to the application frontend; transmitting, by the application frontend, application data to the transmitted IP address via a connection provided by the communication network; selecting, by a core server of the communication network, a quality service for the distributed application; applying, by the communication network, a service quality determined by the selected quality service to the connection; and operating, by the distributed application, with the applied service quality.
Local preference in anycast CDN routing
Embodiments herein describe a CDN where anycast routing is used to identify a load balancer for selecting a cache in the CDN to use to deliver a requested object to a user. In one embodiment, the user performs a DNS lookup to identify an anycast IP address for a plurality of load balancers in the CDN. The user can then initiate anycast routing using the anycast IP address to automatically identify the closest load balancer. Once the identified balancer selects the cache, the load balancer can close the anycast connection with the user device and use an HTTP redirect to provide the user device with a unicast path to the selected cache. The user device can then establish a unicast connection with the cache to retrieve (e.g., stream) the object.
Local preference in anycast CDN routing
Embodiments herein describe a CDN where anycast routing is used to identify a load balancer for selecting a cache in the CDN to use to deliver a requested object to a user. In one embodiment, the user performs a DNS lookup to identify an anycast IP address for a plurality of load balancers in the CDN. The user can then initiate anycast routing using the anycast IP address to automatically identify the closest load balancer. Once the identified balancer selects the cache, the load balancer can close the anycast connection with the user device and use an HTTP redirect to provide the user device with a unicast path to the selected cache. The user device can then establish a unicast connection with the cache to retrieve (e.g., stream) the object.
Maintaining dependencies in a set of rules for security scanning
Systems and methods include receiving a copy of a template file of security rules where the template file includes a plurality of rule tags and one or more dependency tags that define relationships and dependencies between any rules associated with the plurality of rule tags; scanning the template file including, for each respective rule tag of the plurality of rule tags checking if an enabled flag is set for the respective rule tag, when the enable flag is set, looking up a respective rule in a rule database and replacing the respective rule tag with the respective rule, and when the enable flag is not set, removing the respective rule tag from the template file; and providing an output file including a plurality of rules having the relationships and dependencies, where the output file is used for security scanning.
AUTOMATED SERVER WORKLOAD MANAGEMENT USING MACHINE LEARNING
Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.
AUTOMATED SERVER WORKLOAD MANAGEMENT USING MACHINE LEARNING
Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.