H04L41/046

INTUITIVE GRAPHICAL NETWORK MAPPING BASED ON COLLECTIVE INTELLIGENCE

In one embodiment, a method comprises: obtaining, by a process, path trace data collected by a plurality of performance monitoring agents across a computer network; obtaining, by the process, one or more catalogs having application-based correlation information for the path trace data; generating, by the process, network mapping directed graphs by correlating the path trace data using the one or more catalogs, the network mapping directed graphs logically comprising nodes categorized at a plurality of levels of aggregation and edges connecting the nodes; associating, by the process, test-based performance data with the edges of the network mapping directed graphs; and providing, by the process, at least one Sankey diagram based on the network mapping directed graphs and test-based performance data associated with their edges for selectable display by a user interface.

Local controller for local API authorization method and apparatus

Some embodiments provide a local controller on a set of host computers that reduce the volume of data that is communicated between the server set and the set of host computers. The local controller executing on a particular host computer, in some embodiments, receives a portion of the namespace including only the policies (e.g., opcode) that are relevant to API-authorization processing for the applications executing on the particular host computer provided by a local agent executing on the computer to authorize the API requests based on policies and parameters. The local controller analyzes the received policies (e.g., policy opcodes) and identifies the parameters (e.g. operands), or parameter types, needed for API-authorization processing (e.g., evaluating the policy opcode upon receiving a particular API request) by the local agent. In some embodiments, the local controller performs this analysis for each updated set of policies (e.g., policy opcodes).

Hierarchical ring-based interconnection network for symmetric multiprocessors

A symmetric multiprocessor includes with a hierarchical ring-based interconnection network is disclosed. The symmetric processor includes a plurality of buses comprised on the symmetric multiprocessor, wherein each of the buses are configured in a circular topology. The symmetric multiprocessor also includes a plurality of multi-processing nodes interconnected by the buses to make a hierarchical ring-based interconnection network for conveying commands between the multi-processing nodes. The interconnection network includes a command network configured to transport commands based on command tokens, wherein the tokens dictate a destination of the command, a partial response network configured to transport partial responses generated by the multi-processing nodes, and a combined response network configured to combine the partial responses generated by the multi-processing nodes using combined response tokens.

Monitoring enterprise networks with endpoint agents

Techniques for monitoring enterprise networks with endpoint agents are disclosed. In some embodiments, a system, process, and/or computer program product for monitoring enterprise networks with endpoint agents includes deploying a plurality of endpoint agents to a plurality of endpoint devices; collecting test results from each of the plurality of endpoint agents, wherein the test results are based on tests executed on each of the plurality of endpoint devices for monitoring network activity; and generating a graphical visualization of an application delivery state for one or more application delivery layers based on the test results, generating an alert based on the test results, or generating a report based on the test results.

Monitoring enterprise networks with endpoint agents

Techniques for monitoring enterprise networks with endpoint agents are disclosed. In some embodiments, a system, process, and/or computer program product for monitoring enterprise networks with endpoint agents includes deploying a plurality of endpoint agents to a plurality of endpoint devices; collecting test results from each of the plurality of endpoint agents, wherein the test results are based on tests executed on each of the plurality of endpoint devices for monitoring network activity; and generating a graphical visualization of an application delivery state for one or more application delivery layers based on the test results, generating an alert based on the test results, or generating a report based on the test results.

Machine-learning application proxy for IoT devices including large-scale data collection using dynamic servlets with access control

An apparatus and method for providing ML processing for one or more ML applications operating on one or more Internet of Things (IoT) devices includes receiving a ML request from an IoT device. The ML request can be generated by a ML application operating on the IoT device and include input data collected by the first ML application. A ML model to perform ML processing of the input data included in the ML request is identified and provided to an ML core for ML processing along with the input data included in the first ML request. The ML core produces ML processing output data based on ML processing by the ML core of input data included in the ML request using the ML model. The ML processing output data can be transmitted to the IoT device.

Real-time scalable virtual session and network analytics

Provided herein are systems and methods for providing insights or metrics in connection with provisioning applications and/or desktop sessions to end-users. Network devices (e.g., appliances, intermediary devices, gateways, proxy devices or middle-boxes) can gather insights such as network-level statistics. Additional insights (e.g., metadata and metrics) associated with virtual applications and virtual desktops can be gathered to provide administrators with comprehensive end-to-end real-time and/or historical reports of performance and end-user experience (UX) insights. Insights relating to an application or desktop session can be used to determine and/or improve the overall health of the infrastructure of the session, Citrix Virtual Apps and Desktops, the applications (e.g., remote desktop application) being delivered using the infrastructure, and/or the corresponding user experience.

Real-time scalable virtual session and network analytics

Provided herein are systems and methods for providing insights or metrics in connection with provisioning applications and/or desktop sessions to end-users. Network devices (e.g., appliances, intermediary devices, gateways, proxy devices or middle-boxes) can gather insights such as network-level statistics. Additional insights (e.g., metadata and metrics) associated with virtual applications and virtual desktops can be gathered to provide administrators with comprehensive end-to-end real-time and/or historical reports of performance and end-user experience (UX) insights. Insights relating to an application or desktop session can be used to determine and/or improve the overall health of the infrastructure of the session, Citrix Virtual Apps and Desktops, the applications (e.g., remote desktop application) being delivered using the infrastructure, and/or the corresponding user experience.

Technologies for providing shared memory for accelerator sleds

Technologies for providing shared memory for accelerator sleds includes an accelerator sled to receive, with a memory controller, a memory access request from an accelerator device to access a region of memory. The request is to identify the region of memory with a logical address. Additionally, the accelerator sled is to determine from a map of logical addresses and associated physical address, the physical address associated with the region of memory. In addition, the accelerator sled is to route the memory access request to a memory device associated with the determined physical address.

METHOD AND APPARATUS FOR PROVIDING PLURALITY OF VIRTUAL NETWORKS FOR SINGLE APPLICATION IN MOBILE COMMUNICATION NETWORK
20230037685 · 2023-02-09 ·

The present disclosure relates to a communication method and system for converging a 5.sup.th-Generation (5G) communication system for supporting higher data rates beyond a 4.sup.th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The support of a virtual network group according to an embodiment of the present disclosure enables efficient communication of a terminal by using an external network, configured via an existing short-range communication network, or a private network between terminals based on 5G. Accordingly, a network operator or an entity in charge thereof enables terminals to interwork with equipment through communication via a virtual private network without changes in an existing communication method or a network structure, or without adding additional equipment.