H04L47/808

System and method for dynamic bandwidth assignment (DBA) virtualization in a multi-tenant passive optical network

The invention provides a method and system for Dynamic Bandwidth Assignment (DBA) Virtualization in a Passive Optical Network, comprising an Optical Line Termination (OLT) point and a plurality of Optical Network Units (ONU) and a plurality of Virtual Network Units (VNO), wherein each VNO is configured with a virtual Dynamic Bandwidth Assignment module to schedule a bandwidth assignment independently of the other VNOs and using a merging engine to implement a detailed bandwidth scheduling allocation over the Passive Optical Network.

Device-Assisted Services for Protecting Network Capacity
20210211316 · 2021-07-08 ·

Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.

Role-based resource access control

Systems and methods for role-based access control to computing resources are presented. In an example embodiment, a request to perform a type of access of a computing resource is received via a communication network from a process executing on a client device. Using a data store storing process identifiers and associated access control information, access control information associated with the requesting process is identified based on a process identifier of the requesting process. Based on the access control information associated with the requesting process, a determination is made whether the requesting process is allowed to perform the requested type of access of the computing resource. The request is processed based on the requesting process being allowed to perform the requested type of access of the computing resource.

Load balancing stateful sessions using DNS-based affinity

The present disclosure relates to systems, methods, and computer-readable media for managing routing of traffic between clients and resource instances when providing stateful services. For example, systems disclosed herein involve a load balancer that routes probe request(s) from clients to corresponding resource instances having access to stateful session data for a stateful session between the resource instance(s) and corresponding client(s). The resource instances may provide instance identifiers to the clients for use in generating subsequent session calls. In this way, systems described herein ensure that subsequent session calls are passed to the correct resource instances having access to relevant session information.

Authorizations Associated With Externally Shared Communication Resources

Various embodiments of the present disclosure are directed to a group-based communication apparatus that is configured to enable end-users (e.g., non-admin users) to initiate, by way of client devices, generation of a shareable resource associated with a group-based communication resource identifier to efficiently authorize communication between client devices associated with different organization identifiers in group-based communication interfaces associated with a shared group-based communication resource identifier.

SYSTEM AND METHOD TO MANAGE AND EXCHANGE RESOURCES BETWEEN ENTERPRISES IN A CLOUD COMPUTING ENVIRONMENT
20210250305 · 2021-08-12 ·

A system to manage and exchange resources between enterprises in a cloud computing environment is disclosed. The system includes an information classifying subsystem, configured to classify one or more collected enterprise data into one or more resource groups based on the type and content of the enterprise data using an artificial intelligence-based segmentation model. The system includes a dynamic distribution subsystem, configured to dynamically distribute the classified one or more resource groups with each other based on one or more predefined parameters using an artificial intelligence-based data recommendation technique. The system includes a performance data generator subsystem, configured to generate performance data associated with the enterprise based on the dynamically distributed one or more resource groups. The system includes a resource operation management subsystem, configured to perform operations on the one or more resources based on type of the one or more resources and one or more user privileges.

Support apparatus and method

A support apparatus and method are capable of facilitating work to optimize deployment locations of information processing resources and are respectively allocated to one or more allocation targets. A deployment location candidate is calculated, which is an appropriate deployment location of each of the information processing resources allocated to each of the allocation targets, and a reducible cost is determined when the information processing resource is allocated to the deployment location candidate, with respect to each information processing resource. The reducible cost is displayed when the deployment of the information processing resource allocated to the allocation target is optimized, and the importance of the allocation target is determined by associating the reducible cost with the importance of the allocation target with respect to each allocation target on the basis of the calculation result of the reducible cost for each information processing resource.

Automated resource prioritization using artificial intelligence techniques

Methods, apparatus, and processor-readable storage media for automated resource prioritization using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining information pertaining to one or more user transactions, each user transaction involving one or more resources; obtaining information associated with the one or more resources, including resource demand-related information, resource supply-related information, and resource build-related information; prioritizing, in connection with one or more resource-related actions, the one or more user transactions and/or the one or more resources by processing, using one or more artificial intelligence techniques, at least a portion of the information pertaining to the one or more user transactions and at least a portion of the information associated with the one or more resources; and performing at least one automated action based at least in part on the prioritizing of the one or more user transactions and/or the one or more resources.

System and method for controlling access to project data and to computing resources therefor

A server device, system, method, and for controlling access to project resources is disclosed. The disclosure includes a processor, and a communications module and a memory coupled to the processor. The memory, when executed by the processor, causes the processor to generate a plurality of zones for a project, each zone defining a set of access rights to: i) a database; and ii) at least one tool. The processor configures each set of access rights to allow a proxy service to access the zones, and receives, from a client device and via the proxy service, an access query to access at least one zone. The processor provides the client device access to, via the proxy service, the at least one dataset and at least one tool of the at least one zone.

Content delivery methods and systems
11038773 · 2021-06-15 · ·

Aspects of the present disclosure involve provisioning customers of an aggregator, such as a reseller, of a content delivery network (CDN). In one aspect, content requests to the CDN are processed in accordance with the virtual IP (VIP) address at which the request was received, according to a property template bound to the VIP where the template is selected by the customer and only involves discrete parameters for the reseller. In another aspect, cache fills of the network are processed without direct knowledge of the customer origin through a combination of some request attribute, e.g., alias host of the customer, and an attribute of the reseller to make a DNS request to a name server outside the CDN. Another aspect involves receiving a property template selection, an origin and an alias from a customer of the reseller, and providing appropriate DNS entries to validate the customer and provide origin information to the CDN.