67 results about "Retention period" patented technology

A method for managing log retention period of an application includes: inferring dependencies and connectivity among applications; generating an application chain (AC) based on the inferred dependencies and connectivity; analyzing distributed logs and AC to extract health parameters; deriving a failure score of the AC based on the health parameters and inferred dependencies; inferring a user access frequency (UAF) and remaining assigned storage space (RASS) for an application log (AL); analyzing the failure score, UAF, and RASS for the AL; making a first determination that the failure score is greater than a failure score; making a second determination that the AC comprises a high priority application (HPA); making a third determination that the RASS for the HPA's AL is less than a storage space limit; notifying an administrator to initiate obtaining of extra storage space; and extending the current AL retention period of the HPA's AL.

The present disclosure involves systems, software, and computer implemented methods for data privacy. One example method includes performing a processing action for a data subject for a purpose using a set of data categories that are associated with the purpose. The purpose has a retention period and is a parent purpose in a purpose hierarchy with at least one dependent purpose as a child purpose of the purpose. Dependent purpose retention periods and dependent purpose data categories are determined for each dependent purposes as respective subsets of the set of data categories. In response to an end of purpose for the purpose, data of the set of data categories is blocked. Data in the set of data categories that are not dependent purpose data categories is retained according to the retention period and data of each dependent purpose data category is retained according to a corresponding dependent retention period.

Parameters of a pool of computing resources to be utilized for machine learning tasks from a set of entities are stored, including a category of the computing resources, and a post-task-completion retention period during which, after completion of a task, at least a portion of data stored at the resource is not to be deleted. A compute instance of the pool is assigned to a task requested from the set of entities after determining that one or more configuration settings of the instance satisfy a preference indicated in the request for the task, and that the retention period of the instance relative to a completion of an earlier task on the instance has not expired. A result of the task is stored.

The invention relates to the technical field of computer storage systems, and provides a cache optimization method and device for a power data system, computer equipment, a readable storage medium and a program product. The method comprises the following steps: determining target cache data in a fixed period access scene according to a historical access rule of a power data system; according to a historical access rule of the power data system, predicting the current cache time of the target cache data; according to the current cache time of the target cache data, prolonging the retention period of the target cache data in the cache region; and when a data generation request related to target cache data is received, reading the target cache data from the cache region, and generating data according to the target cache data. By adopting the method, the loading time of the target cache data can be shortened, and the data processing efficiency of the power data system can be remarkably improved.

A method for managing log retention period of an application includes: inferring dependencies and connectivity among applications; generating an application chain (AC) based on the inferred dependencies and connectivity; analyzing distributed logs and AC to extract health parameters; deriving a failure score of the AC based on the health parameters and inferred dependencies; inferring a user access frequency (UAF) and remaining assigned storage space (RASS) for an application log (AL); analyzing the failure score, UAF, and RASS for the AL; making a first determination that the failure score is greater than a failure score; making a second determination that the AC comprises a high priority application (HPA); making a third determination that the RASS for the HPA's AL is less than a storage space limit; notifying an administrator to initiate obtaining of extra storage space; and extending the current AL retention period of the HPA's AL.

Techniques providing data path strategies for improving storage performance at DR sites. The techniques include receiving, in an asynchronous replication process, a large replication data transfer including data changes of a production volume since the last synchronization to a replica volume, partitioning the replication data into multiple small write requests, tagging each small write request as a write request to the replica volume, and performing early evicting, from cache memory, all cache pages used to cache host data specified in the small write requests; deep compression of contiguous host data specified in the small write requests; stream separation on the small write requests, each small write request being tagged as corresponding to a specific production site; and / or flushing host data having the same retention period to a specific region of physical storage space for the replica volume, each small write request being tagged with hint information indicating the retention period.

The invention relates to the technical field of high-concurrency data processing, and discloses a high-concurrency data processing method and system, terminal equipment and a storage medium, and the high-concurrency data processing method comprises the following steps: carrying out analysis processing on collected data based on an equipment side to obtain structured data; determining a target set identifier according to the equipment mapping table, and writing the structured data into a corresponding set; and executing expiration judgment based on the write-in time and a preset retention period to form an effective data set which can be accessed by the service side. And the service side extracts newly added data from the set based on a timing polling strategy and constructs a task to be processed. And dividing the tasks into multiple groups and generating corresponding message bodies. And sending the message body to a message queue, and carrying out parallel consumption and data processing operation by the processing node to obtain a processing result. According to the method provided by the invention, the concurrent access capability and the data storage efficiency of the terminal are greatly improved, and the real-time performance and high reliability of data processing are realized.

A data management system may support techniques for immutable storage of snapshot data entities, which may each include data corresponding to one or more snapshots, in a cloud environment. The data management system may determine respective retention periods and respective immutability periods for the snapshot data entities. The data management system may extend the respective immutability period for a first snapshot data entity based on the respective retention period for the first snapshot data entity being greater than or equal to a threshold duration. Additionally or alternatively, the data management system may maintain (refrain from extending) the respective immutability period for a second snapshot data entity based at least in part on the respective retention period for the second snapshot data entity being less than the threshold duration.

The invention discloses a monitoring video delay sweep generation method based on scene change self-adaptive frame extraction, and belongs to the technical field of video monitoring and streaming media processing. The method comprises the following steps: acquiring a sweep strategy containing a time period, a reference interval, a difference threshold value, a forced retention period, a window length and a quality threshold value; receiving a real-time code stream or reading a storage side key frame intermediate file; calculating an inter-frame difference degree by using a brightness channel of a multi-scale structure similarity algorithm, determining a frame extraction interval in combination with a static duration, and marking candidate frames; performing quality detection according to definition, brightness, contrast, stripes and noise, and rejecting unqualified products; when a forced period is reached, a bottom frame is reserved; and performing segmented coding according to a time window, and performing assembly output at the end of a time period. According to the method, online and offline processing links are unified, key information is reserved, and redundancy and time delay are reduced.

The invention discloses an off-line multi-scene collaboration and data synchronization mechanism and system based on a light guide film. State data of a user in multiple application scenes such as health monitoring, safety protection, social service, virtual world and smart home are subjected to local temporary storage, priority ranking and intelligent synchronization after network disconnection recovery through a unified identity authentication center. The unique identity feature code is locally cached after the user registers for the first time, and the user does not need to depend on online authentication in an offline state. The system comprises an off-line data temporary storage module, a priority ranking module, an off-network recovery synchronization module, a conflict arbitration module, a storage space management module and a manager off-line response module. When the network is interrupted, state change is temporarily stored in a local circular queue according to the priority (the highest life safety class), sequencing is carried out in real time during writing, and low-priority data is preferentially discarded when the space is full (coverage operation is executed at the head of the queue). And after the network is recovered, reporting according to a priority sequence, and reporting overtime retry by adopting a fragment transmission and breakpoint resume mechanism. The multi-device offline conflict is automatically arbitrated according to a version number, a timestamp and a device priority rule, and a conflict log retention period can be set. And when the supervisor is offline, automatically electing a temporary supervisor, and synchronizing data after recovery. According to the method, the problems that multi-scene state data are lost when the network is interrupted, off-line operation cannot be coordinated, and data conflicts are generated after recovery are solved, and a complete closed loop of online real-time synchronization, off-line temporary storage and supplementary transmission and high availability of a manager is realized.

The invention discloses an enterprise information intelligent management method and system based on big data, and relates to the technical field of big data analysis, and the method comprises the steps: carrying out the data degradation analysis processing of to-be-managed enterprise information; and carrying out comparative analysis processing on the data degradation difference value. According to the method and the device, the data degradation difference value is determined by performing data degradation analysis on the enterprise information to be managed, the data degradation difference value can display the access times and the access frequency of the enterprise information, and the calling condition of the enterprise information can be determined by performing comparative analysis on the data degradation difference value subsequently; in addition, even if the number of calling times of some enterprise information is small, the enterprise information cannot be directly deleted, data or blood relationship analysis needs to be carried out on the enterprise information, whether the enterprise information has relevance with other enterprise information which does not reach the retention period or not is determined, and if the enterprise information has relevance, the enterprise information which does not reach the retention period needs to be deleted. And the data are also reserved, so that the integrity of the data during calling is ensured.

A storage device is disclosed. The storage device may include a host interface to receive a write request from a host, the write request may include a data and a logical address of the data. The storage device may further include a first storage for the data. The storage device may further include a retention period determiner to determine a retention period for the data. The storage device may further include a translation layer to select a physical address in the first storage to store the data based at least in part on the retention period. The storage device may further include a second storage for a logical-to-physical mapping table to map the logical address to the physical address and the retention period. Finally, the storage device may include a controller to program the data into the physical address in the first storage.

A system or persistent table may be generated storing changelog information of a primary base table. The system table may then be used to create streams of relevant information. In some examples, the streams may read from the system table for information past a retention period of the primary table while reading from the primary table information in the retention period.

Techniques providing data path strategies for improving storage performance at DR sites. The techniques include receiving, in an asynchronous replication process, a large replication data transfer including data changes of a production volume since the last synchronization to a replica volume, partitioning the replication data into multiple small write requests, tagging each small write request as a write request to the replica volume, and performing early evicting, from cache memory, all cache pages used to cache host data specified in the small write requests; deep compression of contiguous host data specified in the small write requests; stream separation on the small write requests, each small write request being tagged as corresponding to a specific production site; and / or flushing host data having the same retention period to a specific region of physical storage space for the replica volume, each small write request being tagged with hint information indicating the retention period.

The invention relates to the technical field of computers, and discloses a request processing method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving an interaction request initiated by a first account to a second account; obtaining summary information of the second account in response to the interaction request; if the summary information of the second account comprises the first mark, refusing the interaction request, and sending first prompt information to the first account; the first prompt information is used for prompting that the second account is in a logout retention period; within the logout retention period of the second account number, the second account number is in a state of allowing login; the first mark is added in summary information of the second account by the server in response to an account logout request for the second account; according to the method and the device, a rollback mechanism is ensured to exist in account logout, and invalid waiting in a process of interaction between the initiator and the account in the logout retention period can be avoided.

A data management system (DMS) may support intelligent snapshot protection techniques. For example, the DMS may backup a computing system and facilitate that capture and storage of snapshots of the computing system. The DMS may identify a deletion event associated with one or more of the snapshots, the deletion event being associated with the one or more snapshots being deleted at a first time. The DMS may determine that deletion event is anomalous and retain the one or more snapshots beyond the first time. For example, the DMS may determine that one or more parameters associated with the deletion event are indicative of the deletion event being anomalous. In response, the DMS may retain the one or more snapshots for a retention period beyond the first time.

The application discloses a financial-grade database multidimensional security management and control system and method, relates to the technical field of financial data security management and control, and deploys a quantum encryption network and a backup key pool; initializes a data hierarchical management mechanism and a key management hub; transforms a database engine and builds a trusted audit hub, and deploys a security agent on a database node. Through the cooperation of the quantum encryption network and the post-quantum backup key pool, the high security of quantum encryption is utilized to resist traditional and quantum computing threats, and the encryption service is ensured not to be interrupted when the quantum network is abnormal, thereby meeting the continuity requirement of financial transactions; fine-grained data grading is combined with a differentiated security strategy, encryption algorithms, access permissions and retention periods are configured for high-sensitive, medium-sensitive and low-sensitive data respectively, precise protection is realized, and operation efficiency is taken into account; and a multi-role key cooperation mechanism avoids single-point key leakage, and the original key is destroyed after the key is generated, so that the key security is further improved.

Mechanisms are provided for caching threat intelligence enhancements in a threat intelligence cache of a threat intelligence computing system. The mechanisms, in response to a threat intelligence enhancement (TIE) being generated based on threat intelligence data, apply one or more threat intelligence cache policies to the TIE to determine a default cache retention period for a TIE type corresponding to the TIE. Different TIE types have different default cache retention periods. The mechanisms process the TIE and corresponding context data in the threat intelligence data to determine an adjustment to the default cache retention period based on the context data. The mechanisms modify the default cache retention period by the determined adjustment to generate a modified cache retention period. The mechanisms store the TIE in a TIE cache in accordance with the modified cache retention period.

The invention provides an electric power data privacy sharing method and system based on a PUF and a block chain, and the method comprises the steps that an electric power collection terminal generates a PUF challenge-response pair, records a binding relation between a device DID and a PUF fingerprint in a registration contract, and registers the registration contract to the block chain; collecting electric power data and taking the PUF response as a dynamic random source to participate in data signature calculation so as to generate a signature; storing the hash abstract of the data packet containing the signature and the power data and the index information pointing to the distributed storage address under the chain on the chain, and storing the power data under the chain in a distributed manner; the data user performs identity verification according to the registered device DID through the smart contract, applies for access and triggers privacy calculation; the data auditing unit periodically executes Merkle tree auditing and detects whether the data stored on the chain is complete or not; the data destruction unit executes an encryption deletion operation and records a destruction voucher on a chain when the power data reaches a storage life.

A post-task-completion retention period for which a computing resource is to be retained, without de-activating the resource, on behalf of a set of requesters of machine learning tasks is determined at a machine learning service. A first task, identified at the service prior to expiration of the retention period at a first computing resource at which a second task has completed, is initiated at the first computing resource. In response to obtaining an indication of a third task and determining that a threshold criterion associated with the retention period satisfies a criterion, the third task is initiated at an additional computing resource. The additional computing resource is de-activated after the third task completes, without waiting for the retention period to expire.

A data management system may support techniques for immutable storage of snapshot data entities, which may each include data corresponding to one or more snapshots, in a cloud environment. The data management system may determine respective retention periods and respective immutability periods for the snapshot data entities. The data management system may extend the respective immutability period for a first snapshot data entity based on the respective retention period for the first snapshot data entity being greater than or equal to a threshold duration. Additionally or alternatively, the data management system may maintain (refrain from extending) the respective immutability period for a second snapshot data entity based at least in part on the respective retention period for the second snapshot data entity being less than the threshold duration.

The embodiment of the invention relates to a network management system cluster with joint query processing. A process includes, in response to a migration of a network device deployment from a first network management system cluster to a second network management system cluster, reserving first data in the first network management system cluster for a reservation period. The data represents information about deployment of the network device. The process includes receiving, by a federated layer engine of the second cluster of network management systems, a given query directed to information associated with the deployment of the network device. The process includes determining, by the federated layer engine, whether a query time associated with the given query is within a retention period, and processing, by the federated layer engine, the given query in response to the determination of whether the query time is within the retention period.

Embodiments for a method performing data migration such as backups and restores in a network by identifying characteristics of data in a data saveset to separate the data into defined types based on respective characteristics, assigning a data label to each defined type by receiving user selection or automatically merging or selecting a priority label, from among many labels associated with a file, defining migration rules for each data label, discovering assigned labels during a migration operation; and applying respective migration rules to labeled data in the data saveset. The migration rules can dictate storage location, access rights, replication periods, retention periods, and similar parameters.

The embodiment of the invention provides a video processing method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a target video needing storage optimization from stored videos; determining a target resource attribute result corresponding to the target video, the target resource attribute result being determined according to a difference value between a reference resource consumption amount and a reference resource compensation amount, the reference resource consumption amount being determined according to a resource consumption cost generated by the target video in a reference storage retention period, the reference storage retention period is a reference duration for continuously storing and retaining the target video, and the reference resource compensation amount is determined according to a resource compensation return generated by the target video in the reference storage retention period; and controlling to delete or retain the target video according to the target resource attribute result. According to the scheme, the resource consumption cost and the resource compensation return of the video in the storage retention period are analyzed, the storage cost caused by unreliable videos is reduced, and the video storage efficiency is improved.

A system comprising a processing circuitry configured to: obtain a plurality of recordings of respective sessions conducted on respective computerized applications; determine, for each recording of the recordings, one or more attributes, wherein at least one attribute of the attributes is determined by analyzing content of the respective recording; and determine, for each given recording of the recordings, based on the at least one attribute determined for the given recording, a respective retention policy, defining at least a retention period for retaining the given recording prior to deleting the given recording; wherein a first retention policy determined for a first recording of the recordings having a first set of one or more first attributes of the attributes is different than a second retention policy determined for a second recording of the recordings having a second set of one or more second attributes of the attributes, other than the first attributes.

The present application relates to a method, system, device and storage medium for storing video data. Among them, the method for storing video data includes: dividing the storage space into an index block and multiple storage blocks according to preset conditions, and dividing the storage blocks into different levels according to the different retention periods of the storage blocks; according to the correspondence relationship between the type of preset video data and the level of the storage block, storing the video data in the storage blocks of the corresponding level, and writing the storage information in the corresponding storage blocks of the video data into the index block. Through the present application, the problem in the related art that video data is stored in chronological order, resulting in a very short retention period for important video data, is solved. Different types of storage blocks are managed according to different retention periods, which facilitates the management of storage blocks and balances the longer retention period of high-value video data and the storage space.

A location-based application, such as a parallel reality game, may receive, from a client device of a user of the application, location data representing the user's position in the real-world. In one embodiment, a game platform associated with the application writes location data derived from the received location data to each of a plurality of retention tables, each storing the location data at a different level of granularity and for a different retention period. Upon expiration of a retention period for a first retention table, the game platform anonymizes the location data and transfers the anonymized data to a second retention table storing the data at a lower level of granularity. The game platform repeats this process until expiration of the retention period for the table having the lowest level of granularity before deleting the location data from storage.

The invention discloses a financial-level database multi-dimensional security management and control system and method, and relates to the technical field of financial data security management and control. A quantum encryption network and a standby key pool are deployed; initializing a data level-to-level management mechanism and a key management center; a database engine is transformed, a credible auditing center is built, and a security agent is deployed at a database node. According to the invention, through cooperation of the quantum encryption network and the post-quantum standby key pool, high security of quantum encryption is utilized to resist traditional and quantum computing threats, encryption service is ensured not to be interrupted when the quantum network is abnormal, and the requirement of financial transaction continuity is met; fine-grained data grading is combined with a differentiated security policy, an encryption algorithm, an access permission and a retention period are configured for high-sensitivity, medium-sensitivity and low-sensitivity data respectively, and the operation efficiency is considered while precise protection is achieved; a multi-role key cooperation mechanism avoids leakage of a single-point key, and the key security is further improved by combining the design that the original key is destroyed after the key is generated.

A system that includes the following: a processor; a storage facility; and a machine-readable memory that stores instructions, whereby the instructions can be executed by the processor to: to receive inputs (400) specifying an expected amount of data and a minimum retention period for a deduplication data store (150); to perform a comparison of the at least one retention period with a stored data structure (170), wherein the stored data structure (170) comprises different combinations of respective storage multipliers corresponding to the respective maximum retention periods; to determine at least one storage multiplier of the respective storage multipliers based on the comparison of at least one retention period with the stored data structure (170); to determine a storage quantity to be provided for the deduplication data store (150) based on the expected amount of data and the determined minimum storage multiplier; and to provide the deduplication data store (150) based at least on the specified amount of storage.

A post-task-completion retention period for which a computing resource is to be retained, without de-activating the resource, on behalf of a set of requesters of machine learning tasks is determined at a machine learning service. A first task, identified at the service prior to expiration of the retention period at a first computing resource at which a second task has completed, is initiated at the first computing resource. In response to obtaining an indication of a third task and determining that a threshold criterion associated with the retention period satisfies a criterion, the third task is initiated at an additional computing resource. The additional computing resource is de-activated after the third task completes, without waiting for the retention period to expire.