Patent classifications
G06F16/1724
Method and device for the accelerated execution of applications
An aim of the invention is to enable the acceleration of the execution, in particular the starting of an application. The invention relates to a method for executing an application which is performed by at least one device. The method involves providing data parts from a data memory, which are required for the execution of the application. The data parts are stored in the data memory in an order which is at least in some areas based on an expected required order.
Optimized Autonomous Defragmentation Of Storage Devices
The present disclosure generally relates to determining host device read patterns and then matching autonomous defragmentation to the read pattern to reduce latency impact and avoid unnecessary write amplification (WA). Host devices tend to read data in similar sized chunks. Additionally, host devices tend to read certain data sequentially. Based upon the typical chunk size and data read, the data can be defragmented in sizes to match the typical host device read chunks, and the data defragmented can then be read sequentially within a same plane even if the defragmented data is on different dies. The data is defragmented without relying upon a host command to be presented. Background operation time is used to move updated data such that a future sequential read is supported.
ON-THE-FLY/TRANSPARENT FRAGMENTED ISOBMFF TO PROGRESSIVE ISOBMFF TRANSMULTIPLEXING PROXY
An aspect of the subject technology includes a method including receiving a request including an input file and a selection. The input file is in the fragmented ISOBMFF format. The method also includes parsing one or more fragments from the input file, generating a cache object based on the fragments, generating an output moov box based on at least one of the fragments or the cache object, calculating output mdat offsets for the selection corresponding to the fragments based on at least one of the fragments or the cache object, and determining output bytes of an output mdat section. The output mdat section is based on the output mdat offsets. The method further includes multiplexing the output bytes to the progressive ISOBMFF format, and serving the multiplexed output bytes.
METHODS FOR MANAGING SNAPSHOTS IN A DISTRIBUTED DE-DUPLICATION SYSTEM AND DEVICES THEREOF
Methods, non-transitory computer readable media, and devices that more effectively manage snapshots by creating a namespace including files described by stored file recipe objects and each comprising fragments, directories described by metadata in the file recipe objects and each comprising one or more of the files, and snapshots described by stored snapshot request objects. Content of one of the directories are identified based on an identification of corresponding ones of the file recipe objects that existed within the namespace at a specified time. At least one of the files, included in the identified content and existing within the namespace at the specified time, is accessed in response to one or more received requests. A garbage collection operation is periodically performed to delete the recipe objects that are marked for deletion by tombstone objects and are unreferenced by any of the snapshots as determined based on the snapshot request objects.
Database management systems and methods using data normalization and defragmentation techniques
Improved systems and methods for database management using data normalization and defragmentation techniques are provided. At least one exchange processor in communication with an exchange computer system receives market data from the exchange computer system, processes the market information, and transmits the market data to a master processor. The master processor receives the market data, processes the data using at least one normalization process to generate normalized data including an intra-day file and an archival file, and stores the intra-day file and the archival file in the master database. The master processor transmits the intra-day file and the archival file to the at least one regional processor. The regional processor receives a request for information from a customer computer system in communication with the regional processor, queries the intra-day file and the archival file to identify matching market data in response to the request, and transmits the matching market data to the customer computer system.
Aggregation and management among a plurality of storage providers
The present disclosure describes systems and methods for aggregation and management of cloud storage among a plurality of providers via file fragmenting to provide increased reliability and security. In one implementation, fragments or blocks may be distributed among a plurality of cloud storage providers, such that no provider retains a complete copy of a file. Accordingly, even if an individual service is compromised, a malicious actor cannot access the data. In another implementation, file fragmenting may be performed in a non-standard method such that file headers and metadata are divided across separate fragments, obfuscating the original file metadata.
Defragmentation in deduplication storage systems
Disclosed are techniques for defragmentation in deduplication storage systems. Machine language determines using deduplication metadata that at least some of an incoming input/output stream is a duplicate of at least part of a source volume whose physical locations of its stored data are fragmented in backend storage. Subsequently, defragmentation is carried out on the stored data by using the incoming input/output stream to write the data into sequential chunks at new physical locations in the backend storage and updating the source volume location mappings to the new physical locations.
No-Code, Event-Driven Edge Computing Platform
Unified management, automation, interoperability, and synchronization of virtual and physical device systems utilizing components of a no-code, event-driven edge computing platform on any device and/or across difference devices. In an embodiment, a system on a device accesses a first events dataset which represents a two-dimensional structure. Each row in the events dataset is processed by the system to create or update the state of a runtime dataset which represents a two-dimensional structure. The state of the runtime dataset comprises an instance of an event-defined system including event-defined processes. In an embodiment, the event-defined processes are executed by the system to process a second events dataset, wherein the execution of the event-defined processes further updates the state of the runtime dataset and may create one or more new events for processing.
Methods for managing snapshots in a distributed de-duplication system and devices thereof
Methods, non-transitory computer readable media, and devices that more effectively manage snapshots by creating a namespace including files described by stored file recipe objects and each comprising fragments, directories described by metadata in the file recipe objects and each comprising one or more of the files, and snapshots described by stored snapshot request objects. Content of one of the directories are identified based on an identification of corresponding ones of the file recipe objects that existed within the namespace at a specified time. At least one of the files, included in the identified content and existing within the namespace at the specified time, is accessed in response to one or more received requests. A garbage collection operation is periodically performed to delete the recipe objects that are marked for deletion by tombstone objects and are unreferenced by any of the snapshots as determined based on the snapshot request objects.
File merging method and controller
A file merging method performed by a controller in a storage system includes reading a first file and a second file on a solid state disk, determining whether a key of the first data is the same as a key of the second data, creating a third file on a mechanical hard disk when the key of the first data is the same as the key of the second data, merging the first data and the second data, and writing the merged data into the third file.