Systems and methods for concurrent modification of content are provided. In response to a verified request received from a user content is copied to a first storage media as a first version of the content uniquely identified by a first identifier, the verified request being based on verification of the user's credentials. In response to the user editing the first version of the content, the edited copy of the content is stored in the content management system in association with a second identifier uniquely identifying the edited copy of the content as a second version of the content. In response to receiving a notification that a plurality of users no longer request access to the content stored in the content management system, the first version of the content is deleted from the first storage media.

Synchronization metadata is read from non-volatile storage. The synchronization metadata comprises indications of one or more synchronization targets. A synchronization target is a node of a clustered storage system. A synchronization cache is populated with the synchronization metadata. After populating the synchronization cache with at least a portion of the synchronization metadata, a connection to a network is established. After the connection to the network is established, a connection to a first of the one or more synchronization targets is established.

Disclosed are a method and apparatus for determining evidence authenticity based on a blockchain ledger. The method includes: identifying target electronic evidence, providing a relatively high authenticity reference score for the target electronic evidence in response to that it is determined that the target electronic evidence is stored by at least one candidate blockchain ledger platform, and providing a relatively low authenticity reference score for the target electronic evidence in response to that it is determined that the target electronic evidence is not stored by at least one candidate blockchain ledger platform. If the target electronic evidence corresponds to a relatively high authenticity reference score, it indicates that the identified target electronic evidence has a relatively high degree of authenticity (possibility of being authentic) and a relatively low possibility of being tampered with.

The present disclosure relates to computer-implemented methods, software, and systems for managing data replication. A request associated with storing content of a file is received at a storage service provided by in a multiple availability zone cloud platform. A lock request is sent to an in-memory data grid at a first instance of the storage service to lock the file for accessing. An input stream of the file is received at the persistence interface to be read iteratively in portions. A read portion of the file is iteratively stored in a first file system storage associated with instances of the storage service at a first availability zone. The portions of the file are provided iteratively to a replication executor at the first instance of the storage service to request replication of the content of the file into a second file storage of a second availability zone of the cloud platform.

A system, method and apparatus in which a client computer initiates and communicates a distributed ledger transaction, which transaction is labeled with a timestamp. A first hashing algorithm are applied to the transaction data and timestamp data to create a first hash value, and the first hash value is associated with the transaction data. When a second distributed ledger transaction is initiated, a second hashing algorithm is applied to the second transaction data to generate a second hash value, and a third hashing algorithm is applied to the to the first and second hash values to create a third hash value which is associated with the second transaction data. The procedure is implemented with each additional transaction data submission. The transaction data is processed in a first-in-first-out sequence based upon the hash values associated with the transaction data.

A system and computer implemented method for execution of aggregation expressions on a distributed non-relational database system is provided. The method comprises the acts of determining, by a computer system, an optimization for execution of an aggregation operation, wherein the aggregation operation includes a plurality of data operations on a distributed non-relational database; modifying, by the computer system, the plurality of data operations to optimize execution; splitting the aggregation operation into a distributed aggregation operation and a merged aggregation operation; instructing each of a plurality of shard servers to perform the distributed aggregation operation; aggregating, at a merging shard server, the results of the distributed aggregation operation from each of the plurality of shard servers; and performing the merged aggregation operation on the aggregated results of the distributed aggregation operation from each of the plurality of shard servers.

Embodiments described herein are generally directed to techniques for avoiding or mitigating shared-state damage during a split-brain condition in a distributed network of compute nodes. According to an example, a number, N, of nodes within the distributed computing system is determined. During normal operation of the distributed computing system, a unified state is maintained by synchronizing shared state information. The nodes are ordered by increasing importance to an application from 1 to N. A quora value, q.sub.n, is assigned to each of the nodes in accordance with the ordering, where q.sub.1=1 and each subsequent quora value, q.sub.n+1, is a sum of all prior quora values, q.sub.1 to q.sub.n, plus either 1 or a current value of n. These quora values may then be used to determine membership in the dominant or a yielding set to facilitate recovery from the split-brain condition by performing pessimistic or optimistic mitigation actions.

A context-driven multi-user system may include distributed computing resource(s) that replicate proper subset(s) of user-relevant context data to computing device(s). A replication server may receive an update record corresponding to stored context data and determine propagation records based at least in part thereon. Each propagation record may correspond to a respective, different proper subset of the context data. The replication server may transmit the propagation records to respective replication clients. A replication client may receive a propagation record and modify local context data in response. The replication client may receive a data record and determine an update record in response and using the local context data. The computing device may transmit the determined update record. A server may receive a query specification referencing a data source and transmit the query specification to a replication client of the multi-user system, the client corresponding to the data source.

A communication device (e.g., a data system on a module (DSoM)/a Data System in a Package (DSiP)) for communicatively coupling a computing device with a cloud-based service to synchronize one or more data modifications, on an asynchronous basis with respect to one another is provided. The communication device may be configured to be communicatively coupled to the computing device and may include a wireless cellular transceiver. The communication device may be configured to one or more of transmit at least one data object from the computing device to the cloud-based service and receive at least one data object from the cloud-based service. Embodiments of the present disclosure may provide a distributed replicated spatiotemporal database packaged on a communication device and integrated with an internet-based secure communication hub.

Various embodiments herein described are directed to methods, apparatuses and computer program products configured for improving data synchronization in on-premises application service systems. In some embodiments, an on-premises application service system may transmit a synchronization check message to an in-cloud application service system and receive a synchronization request message in response. Based at least in part on the synchronization request message, the on-premises application service system transmits data objects to the in-cloud application service system for synchronization. Additional example embodiments provide various example methods of managing synchronizations between on-premises application service systems and in-cloud application service systems that improve data security and reduce network traffic.