G06F16/182

Committing data to blockchain based on approximate hash verification

An example operation may include one or more of receiving a data block for storage on a blockchain from an orderer node, the data block comprising a full-step hash of a storage request and a reduced-step hash of the storage request, performing an approximate hash verification on the data block based on the reduced-step hash of the storage request included in the data block, and in response to a success of the approximate hash verification, committing the data block among a hash-linked chain of data blocks stored within a distributed ledger of a blockchain.

Transaction-enabled systems and methods for resource acquisition for a fleet of machines

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

Transaction-enabled systems and methods for resource acquisition for a fleet of machines

The present disclosure describes transaction-enabling systems and methods. A system can include a controller and a fleet of machines, each having at least one of a compute task requirement, a networking task requirement, and an energy consumption task requirement. The controller may include a resource requirement circuit to determine an amount of a resource for each of the machines to service the task requirement for each machine, a forward resource market circuit to access a forward resource market, and a resource distribution circuit to execute an aggregated transaction of the resource on the forward resource market.

5G network slicing with distributed ledger traceability and resource utilization inferencing

Various systems and methods for implementing an edge computing system to realize 5G network slices with blockchain traceability for informed 5G service supply chain are disclosed. A system configured to track network slicing operations includes memory and processing circuitry configured to select a network slice instance (NSI) from a plurality of available NSIs based on an NSI type specified by a client node. The available NSIs uses virtualized network resources of a first network resource provider. The client node is associated with the selected NSI. The utilization of the network resources by the plurality of available NSIs is determined using an artificial intelligence (AI)-based network inferencing function. A ledger entry of associating the selected NSI with the client node is recorded in a distributed ledger, which further includes a second ledger entry indicating allocations of resource subsets to each of the NSIs based on the utilization.

Federation of data during query time in computing systems

Techniques of federation of data during query time are disclosed herein. One example technique includes upon receiving an indication of interaction of a file by a user of a tenant, determining whether automatic replication of the file to a user shard corresponding to the user is permitted according to a company policy or a legal requirement, the user shard being in a second geographic region. The example technique can then include when automatic replication of the file is not permitted, storing the file in a tenant shard corresponding to the tenant in a network storage in the first geographic region and instead of replicating the file to the user shard in the second geographic region, creating, in the user shard in the second geographic region, a file reference that is a pointer to the file stored in the tenant shard in the network storage in the first geographic region.

SYSTEMS AND METHODS FOR SYNCHRONIZATION EVENT BUILDING AND/OR COLLAPSING BY A SYNCHRONIZATION COMPONENT OF A CLOUD-BASED PLATFORM

Techniques for monitoring local and/or remote file systems by a synchronization component (e.g., client/server) of a cloud-based platform are disclosed. In some embodiments, a method of building synchronization events by a synchronization component (e.g., a synchronization server/client) includes obtaining a set of items that have been changed and their new states and retrieving last known states of the set of items that are stored in a reference snapshot inside a filesystem scanner. The method further includes generating differences between the new states and the last known states of the set of items as item changes and utilizing information provided by the item changes to translate the item changes into synchronization events for execution on the opposing file system. A method of handling failed synchronization events by a synchronization component of the cloud-based platform by collapsing a subsequent event with the failed synchronization event is also disclosed.

Distributing Data on Distributed Storage Systems
20230236935 · 2023-07-27 · ·

A method of distributing data in a distributed storage system includes receiving a file, dividing the received file into chunks, and determining a distribution of the chunks among storage devices of the distributed storage system based on a maintenance hierarchy of the distributed storage system. The maintenance hierarchy includes maintenance levels, and each maintenance level includes one or more maintenance units. Each maintenance unit has an active state and an inactive state. Moreover, each storage device is associated with a maintenance unit. The determining of the distribution of the chunks includes identifying a random selection of the storage devices matching a number of chunks of the file and being capable of maintaining accessibility of the file when one or more maintenance units are in an inactive state. The method also includes distributing the chunks to storage devices of the distributed storage system according to the determined distribution.

Distributing Data on Distributed Storage Systems
20230236935 · 2023-07-27 · ·

A method of distributing data in a distributed storage system includes receiving a file, dividing the received file into chunks, and determining a distribution of the chunks among storage devices of the distributed storage system based on a maintenance hierarchy of the distributed storage system. The maintenance hierarchy includes maintenance levels, and each maintenance level includes one or more maintenance units. Each maintenance unit has an active state and an inactive state. Moreover, each storage device is associated with a maintenance unit. The determining of the distribution of the chunks includes identifying a random selection of the storage devices matching a number of chunks of the file and being capable of maintaining accessibility of the file when one or more maintenance units are in an inactive state. The method also includes distributing the chunks to storage devices of the distributed storage system according to the determined distribution.

SAVING FILES FROM THIRD-PARTY SYSTEMS DIRECTLY TO A CLOUD STORAGE SYSTEM

A method for saving a file stored on a third-party system to a cloud storage system includes receiving, at a cloud storage server of the cloud storage system, a save request from the third party system. The method further includes authenticating the save request, based at least in part on information identifying a user, creating a copy of the file at the cloud storage server, and associating the copy of the file with the user.

SAVING FILES FROM THIRD-PARTY SYSTEMS DIRECTLY TO A CLOUD STORAGE SYSTEM

A method for saving a file stored on a third-party system to a cloud storage system includes receiving, at a cloud storage server of the cloud storage system, a save request from the third party system. The method further includes authenticating the save request, based at least in part on information identifying a user, creating a copy of the file at the cloud storage server, and associating the copy of the file with the user.