H04L67/1097

Virtual research platform

Systems and methods for automated data curation and presentation are disclosed herein. The system can include a memory including a structured database and a plurality of storage bins. The system can include at least one server that can receive a packetized data file generated from a data file. This packetized data file can include a first packet generated from a content file of the data file, a second packet generated from metadata of the data file, and a third packet generated from a payload of the data file. The at least one server can automatically generate at least one tag for the packetized data file, which at least one tag is automatically generated based at least one key phrase identified in at least the targeted portion of the content file. The at least one server can index the packetized data file according to the at least one tag into a predetermined taxonomy, receive a data request including a plurality of parameters identifying attributes of packetized data, and deliver curated data selected according to the at least some of the plurality of parameters of the data request.

Systems and methods for uploading streamed objects to a cloud storage system

Methods in a cloud object store facilitate strong data encryption, customer-management of object (encryption) keys, reductions in latency, globally-distributed object storage, and handling of streamed uploads. A method for encrypting objects stored in a cloud includes encrypting each object with a unique encryption (object) key. The plaintext object keys are generated in advance of uploads. The plaintext object keys can be stored in an object database in the cloud. Alternatively, the plaintext object keys can be provided to a customer's HSM, encrypted, and returned to the cloud, such that encrypted object keys, encrypted by the customer, are stored in the cloud. The cloud can alternatively encrypt the customer's object keys with a master key for the customer, which is then encrypted by the customer's HSM before being stored in the cloud. Proxies are also deployed for efficiently communicating with customer security modules.

Systems and methods for uploading streamed objects to a cloud storage system

Methods in a cloud object store facilitate strong data encryption, customer-management of object (encryption) keys, reductions in latency, globally-distributed object storage, and handling of streamed uploads. A method for encrypting objects stored in a cloud includes encrypting each object with a unique encryption (object) key. The plaintext object keys are generated in advance of uploads. The plaintext object keys can be stored in an object database in the cloud. Alternatively, the plaintext object keys can be provided to a customer's HSM, encrypted, and returned to the cloud, such that encrypted object keys, encrypted by the customer, are stored in the cloud. The cloud can alternatively encrypt the customer's object keys with a master key for the customer, which is then encrypted by the customer's HSM before being stored in the cloud. Proxies are also deployed for efficiently communicating with customer security modules.

Wireless device capability information

Systems, apparatuses, and methods are described for wireless communications. A base station and wireless device may communicate capability information associated with a wireless device. The capability information may include information indicating support for an Ethernet type packet data unit session or header parameter compression. An Ethernet type packet data unit session may be instantiated based on the capability information.

Asynchronous workflow and task api for cloud based processing
11582285 · 2023-02-14 · ·

A method, computer program, and computer system is provided for asynchronous Network-Based Media Processing (NBMP) request processing. A first function call corresponding to a CreateWorkflow request to an NBMP workflow manager is received. A hypertext transfer protocol (HTTP) status code and a delay value retrieved from a database are returned based on receiving the first function call, and the CreateWorkflow request is performed at a later time after the delay has elapsed, whereby a response to the request is performed asynchronously according to the retrieved delay value. A second function call corresponding to an UpdateWorkflow request to the NBMP workflow manager is received after performing the CreateWorkflow request, and results of performing the CreateWorkflow request are returned based on receiving the second function call, wherein a response to the CreateWorkflow request is provided asynchronously according to the retrieved delay value.

Asynchronous workflow and task api for cloud based processing
11582285 · 2023-02-14 · ·

A method, computer program, and computer system is provided for asynchronous Network-Based Media Processing (NBMP) request processing. A first function call corresponding to a CreateWorkflow request to an NBMP workflow manager is received. A hypertext transfer protocol (HTTP) status code and a delay value retrieved from a database are returned based on receiving the first function call, and the CreateWorkflow request is performed at a later time after the delay has elapsed, whereby a response to the request is performed asynchronously according to the retrieved delay value. A second function call corresponding to an UpdateWorkflow request to the NBMP workflow manager is received after performing the CreateWorkflow request, and results of performing the CreateWorkflow request are returned based on receiving the second function call, wherein a response to the CreateWorkflow request is provided asynchronously according to the retrieved delay value.

Performance monitoring in a distributed storage system
11582130 · 2023-02-14 · ·

Methods and systems for monitoring performance in a distributed storage system described. One example method includes identifying requests sent by clients to the distributed storage system, each request including request parameter values for request parameters; generating probe requests based on the identified requests, the probe requests including probe request parameter values for probe request parameter values, representing a statistical sample of the request parameters included in the identified requests; sending the generated probe requests to the distributed storage system over a network, wherein the distributed storage system is configured to perform preparations for servicing each probe request in response to receiving the probe request; receiving responses to the probe requests from the distributed storage system, and outputting at least one performance metric value measuring a current performance state of the distributed storage system based on the received responses.

Performance monitoring in a distributed storage system
11582130 · 2023-02-14 · ·

Methods and systems for monitoring performance in a distributed storage system described. One example method includes identifying requests sent by clients to the distributed storage system, each request including request parameter values for request parameters; generating probe requests based on the identified requests, the probe requests including probe request parameter values for probe request parameter values, representing a statistical sample of the request parameters included in the identified requests; sending the generated probe requests to the distributed storage system over a network, wherein the distributed storage system is configured to perform preparations for servicing each probe request in response to receiving the probe request; receiving responses to the probe requests from the distributed storage system, and outputting at least one performance metric value measuring a current performance state of the distributed storage system based on the received responses.

Allocating cache memory in a dispersed storage network

A method for execution by a dispersed storage network (DSN) managing unit includes receiving access information from a plurality of distributed storage and task (DST) processing units via a network. Cache memory utilization data is generated based on the access information. Configuration instructions are generated for transmission via the network to the plurality of DST processing units based on the cache memory utilization data.

Allocating cache memory in a dispersed storage network

A method for execution by a dispersed storage network (DSN) managing unit includes receiving access information from a plurality of distributed storage and task (DST) processing units via a network. Cache memory utilization data is generated based on the access information. Configuration instructions are generated for transmission via the network to the plurality of DST processing units based on the cache memory utilization data.