Innovative Storage for Your Intelligent Surveillance Network

In the modern world, where intelligent surveillance networks are becoming increasingly sophisticated, the need for innovative storage solutions has never been more critical. DAHUA’s video storage is designed to meet these evolving demands, providing a robust, efficient, and future-proof storage infrastructure that empowers organizations to harness the full potential of their surveillance systems.

The Challenge of Modern Surveillance:DAHUA’s video storage

Intelligent surveillance networks generate massive amounts of high-resolution video data that must be stored, managed, and accessed quickly. Traditional storage solutions often struggle to keep up with the pace, leading to inefficiencies and potential security risks. DAHUA’s video storage addresses these challenges head-on, offering a suite of features tailored for the modern surveillance landscape.

Dahua Video Storage: Ensuring Data Integrity and Accessibility

Intelligent Data Management:DAHUA’s video storage

At the core of DAHUA’s video storage is intelligent data management. The system employs advanced algorithms to automate the organization of video footage, making it easier to locate specific events and streamline the retrieval process. This not only saves time but also ensures that critical data is readily available when needed.

Enhanced Security and Data Integrity:DAHUA’s video storage

Security is paramount in surveillance, and DAHUA’s video storage solutions are built with robust security measures. These include end-to-end encryption, fine-grained access controls, and regular data integrity checks that protect against unauthorized access and tampering.

Scalability and Flexibility:DAHUA’s video storage

As surveillance needs grow, so does the demand for storage capacity. DAHUA’s storage solutions are designed to be scalable and flexible, allowing for seamless expansion as data requirements increase. This ensures that the storage infrastructure can grow alongside the organization’s needs without the need for costly overhauls.

Seamless Integration with DAHUA Ecosystem:

One of the key advantages of DAHUA’s video storage is its seamless integration with the broader DAHUA ecosystem. This integration enables a cohesive surveillance platform where cameras, storage, and management systems work in harmony, simplifying deployment and management.

Advanced Management Tools:

DAHUA provides advanced management tools that simplify the monitoring, configuration, and maintenance of the storage system. These tools are designed to be intuitive and user-friendly, ensuring that even users without extensive technical expertise can effectively manage their storage infrastructure.

Energy Efficiency and Environmental Sustainability:

Pure Storage has been awarded 18 storage patents, including: identifying valid data after a storage system is restored, handling failures when synchronizing objects during write operations, determining online failure spans, storage clusters using partitioned drives, maintaining failure independence of a set of coded data slices stored, converting RAID data between persistent storage types, protecting objects in object storage from being deleted or overwritten, adaptive storage processing for SaaS, deactivating keys in decrypted storage systems, prioritizing reconstruction of erasure coded data in storage networks, database management automation in storage systems, leak detection, node regeneration in distributed storage systems, storage efficiency-driven migration, efficient transfer between virtual storage tiers, efficiently writing data in partitioned drive storage, shutting down storage units in distributed storage networks using load balancers, efficiently rebuilding coded data slices, and creating storage system replicas.

Identifying valid data after storage system recovery
The patent abstract published by the USPTO states: “Storing data temporarily on a storage element integrating fast persistent storage and bulk persistent storage, comprising: receiving a data storage operation from a host on the storage element integrating fast persistent storage and bulk persistent storage, storing data corresponding to the data storage operation in the fast persistent storage according to a first data resilience technique, and in response to detecting a condition to transfer data between the fast persistent storage and the bulk persistent storage, transferring data from the fast persistent storage to the bulk persistent storage according to a second data resilience technique.

Handling failures when synchronizing objects during write operations
The patent abstract published by the USPTO states: “A method performed by a decentralized storage network (DSN). The method first obtains data objects for synchronous storage in multiple storage vaults, identifies multiple storage vaults, encodes the data objects in each storage vault, initiates data slice storage for each storage vault and interprets data slice information received from at least some storage vaults to determine multiple storage vaults that have successfully stored corresponding multiple sets of encoded data slices, and when a threshold number of storage vaults fail to successfully store corresponding multiple sets of encoded data slices within a synchronization time range, initiates a rollback process to abandon the storage of data objects in multiple storage vaults, and responds to storage data to indicate that synchronous storage of data objects in multiple storage repositories failed.

Online Fault Scope Determination
The patent abstract published by the USPTO states: “An indication is received from a storage device indicating that an attempt to read a portion of data from a storage device block failed. A command is sent to the storage device to perform a scan on data stored at the block, the data including obtaining fault information associated with multiple data subsets stored at the block. Fault information associated with multiple data subsets stored at the block is received from the storage device.

Storage Cluster with Partitioned Drives
The patent abstract published by the USPTO states: “Non-volatile solid-state storage is provided. The non-volatile solid-state memory includes a non-volatile random access memory (NVRAM) addressable by a processor external to the non-volatile solid-state memory. The NVRAM is configured to store user data and metadata associated with the user data. The non-volatile solid-state memory includes a flash memory addressable by the processor. The flash memory is configured to store user data in response to the processor transferring the user data from the NVRAM to the flash memory.

Maintaining Fault Independence of a Set of Storing Encoded Data Slices
The patent abstract published by the USPTO states: “A method includes detecting a storage error associated with a first storage device of a storage unit of a set of storage units, wherein data is erroneously encoded as a set of encoded data slices and stored in a plurality of storage devices of the set of storage units, wherein the plurality of storage devices include the first storage device. The method also includes determining an attribute associated with the first storage device and determining attributes of other storage devices of the plurality of storage devices. The method also includes selecting a storage device from the other storage devices based on a comparison of the attributes associated with the first storage device. The method also includes reconstructing the encoded data slice associated with the storage error and storing the reconstructed encoded data slice in the selected storage device.

Converting RAID Data Between Persistent Storage Types
The patent abstract published by the USPTO states: “Converting RAID data between persistent storage types, including: for each portion of a RAID slice of a RAID stripe: writing the portion of the RAID slice to a corresponding plurality of source solid-state drives, detecting that all portions of the RAID slice have been successfully written, copying from one of a plurality of target solid-state drives of one of the plurality of source solid-state drives to a corresponding target solid-state drive, i.e., the RAID slice, wherein the RAID The slice is copied from a source solid-state drive that is different from the location of the RAID slice from which the RAID stripe was copied.

Protecting objects in an object store from being deleted or overwritten
The patent abstract published by the USPTO states: “An illustrative method includes an object retention management system that establishes a retention policy for a bucket of an object-based storage system, detects an operation that causes an object to be stored in the bucket, and applies, based on the detection of the operation, a retention policy for the object, the retention policy that prevents deletion or overwriting of the object for a predefined duration.

Adaptive storage processing for storage as a service
The patent abstract published by the USPTO states: “Adaptive storage processing for storage as a service includes detecting a storage system state of a storage system by a cloud-based monitoring system by remotely monitoring the storage system in real time over a network, selecting, by the cloud-based monitoring system based on the storage system state, an entry in an adjustable repository, wherein the entry in the adjustable repository includes an adjustable parameter of the storage system state, the cloud-based monitoring system accessing a gateway of the storage system over the network, and the cloud-based monitoring system modifying the adjustable parameter on the storage system through the gateway.

Deactivating Keys in a Decryption Storage System
The patent abstract published by the USPTO states: “A method for deactivating a key in a decryption storage system includes scanning a storage system to identify metadata associated with a current key to be deactivated. The method also includes encrypting data corresponding to the metadata using the current key to generate encrypted data. The method also includes decrypting the encrypted data using a target key to generate decrypted data. The method also includes modifying the metadata by a processing device to identify a target key to generate modified metadata. The method also includes storing the decrypted data and the modified metadata to the storage system.

Prioritizing Reconstruction of Erasure Coded Data in a Storage Network
The patent abstract published by the USPTO states: “A method includes scanning from a plurality of sets of encoded data slices to a plurality of sets of encoded data slices to identify encoded data slices that need to be reconstructed. The method also includes adding the identified encoded data slices to a first level reconstruction queue. The method also includes analyzing the identified encoded data slices based on a reconstruction priority function to establish a priority of the identified encoded data slices. The method also includes transmitting the first set of encoded data slices to a first priority reconstruction queue based on the analysis and transmitting the second set of encoded data slices to a second priority reconstruction queue. The method also includes reconstructing the first set and the second set of encoded data slices based on a reconstruction priority protocol.

Automating Database Management in Storage Systems
The patent abstract published by the USPTO states: “Automatically managing a database application, including connecting to a SQL server host of a storage system via a management extension identification, wherein the SQL server host includes a SQL server for managing a SQL database supported by the storage system, identifying the SQL server host via the management extension, and backing up the SQL database via the management extension schedule.

Leak Detection
The patent abstract published by the USPTO states: “A method for testing the structural integrity of a rigid container includes performing a sampling process on the rigid container, including sampling a volume of a sample gas from a sampling area associated with the rigid container, wherein the method further includes performing a detection process, including generating one or more laser beams to excite a volume of one or more materials that may be the sample gas, wherein the one or more materials represent a gas and/or vapor and/or liquid leaking from the rigid container, and detecting light that has passed through the sample gas volume, and determining the presence and/or absence and/or quantity of the one or more materials in the sample gas volume based on the detected light.

Node Regeneration in a Distributed Storage System
The patent abstract published by the USPTO states: “Disclosed herein are systems, devices, and methods for containerizing scalable storage applications. The methods may include instantiating an application instance based on a plurality of application instance parameters, the application instance being configured to utilize a plurality of storage volumes implemented in a storage cluster. The methods may also include enumerating a plurality of unattached storage volumes contained in a cluster associated with the application instance, enumerating a plurality of unattached storage volumes having a plurality of underlying physical storage devices, and a plurality of unattached storage volumes identified based on a plurality of application instance parameters. The methods may also include attaching at least some of the plurality of unattached storage volumes to the application instance, wherein the attaching enables the application instance to access data stored in the attached storage volumes.

Storage Efficiency Driven Migration
The patent abstract published by the USPTO states: “Storage efficiency driven migration includes: determining a level of similarity between first data stored on a first storage system and second data stored on a second storage system, determining based on the level of similarity that an expected storage space reduction for migrating the similar data exceeds a threshold level, and in response to determining that the expected storage space reduction exceeds the threshold level, initiating migration of one or more portions of the first portion of the data from the first storage system to the second storage system.

Efficient transfer between virtual storage tiers
The patent abstract published by the USPTO states: “Efficiently transfer data between tiers of a virtual storage system, comprising: receiving a request to write data to the virtual storage system by the virtual storage system, performing a transformation within storage provided by a first tier storage of the virtual storage system, generating data of the transformation data, and migrating the transformation data from the first tier storage to a second tier storage that is more durable than the first tier storage of the virtual storage system, at least a portion of the transformation data.

Efficiently write data in partitioned drive storage
The patent abstract published by the USPTO states: “Maintaining a list of available areas of respective SSD storage portions of a plurality of partitioned storage devices of a storage system. Data is received from a plurality of sources, wherein the data is associated with a processing data set, the data set comprising a plurality of volumes and associated metadata. Determining shards of the data such that each shard is capable of being written in parallel with the remaining shards. The shards are respectively mapped to subsets of the available areas. The shards are written in parallel to the subsets of the available areas.

Shutting down storage units in a distributed storage network using a load balancer
The patent abstract published by the USPTO states: “A method begins with a load balancing module of a distributed storage network (DSN), the method determines availability of a plurality of DSN processing units of a set of DSN processing units based on availability information associated with the plurality of DSN processing units, and in response to the determined availability, selects a DSN processing unit from the set to process a data access request. The method continues with the load balancing module receiving an indication that the DSN processing unit is no longer available from the DSN processing unit while the DSN processing unit continues to process a previously pending data access request. The method continues with the load balancing module deselecting the DSN processing unit to process the data access request and receiving a second indication from the DSN processing unit indicating that the DSN processing unit is available.

Efficiently rebuilding encoded data slices
The patent abstract published by the USPTO states: “A method includes determining whether an encoded data slice (EDS) of “x” EDSs associated with a set of EDSs needs to be rebuilt, wherein the “x” EDSs are stored in a set of storage units of a storage network, and the encoded data slice is stored in a first storage unit of the set of storage units. When the encoded data slice needs to be reconstructed, the method continues to replace the encoded data slice by identifying one of the “z” EDSs, where the “z” EDS is not currently stored in the storage unit set. The method continues to construct one of the “z” EDSs from the EDS decoding threshold number of the “x” EDSs, and send the one of the “z” EDSs to a second storage unit of the storage unit set.

Creating a copy of a storage system
The patent abstract published by the USPTO states: “Creating a copy of a storage system includes: receiving data to be stored on the first storage system from a computing device by a first storage system, reducing the data by the first storage system using one or more data reduction techniques, sending the reduced data from the first storage system to a second storage system, wherein the reduced data is encrypted, and sending the reduced data from the second storage system to a third storage system, wherein the reduced data is encrypted.

In line with global sustainability initiatives, DAHUA’s video storage solutions are developed with energy efficiency in mind. These systems are designed to consume less power while delivering high-performance storage capabilities, reducing the environmental impact of surveillance operations.

DAHUA’s video storage is a testament to the company’s commitment to innovation and excellence in the field of intelligent surveillance. With intelligent data management, enhanced security, scalability, and advanced management tools, DAHUA is setting new standards for storage solutions in the modern world. As the surveillance landscape continues to evolve, DAHUA stands ready to provide storage solutions that are as innovative and reliable as the technology they support. Trust DAHUA to be the foundation of your intelligent surveillance network, designed for the challenges and opportunities of today and tomorrow.

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