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2584results about How to "Improve storage efficiency" patented technology

Method and apparatus for increasing virtual storage capacity in on-demand storage systems

A method and apparatus are disclosed for increasing virtual storage capacity in on-demand storage systems. The method utilizes data compression to selectively compress data stored in a storage resource to reduce the utilization of physical storage space whenever such physical resources have been over committed and the demand for physical storage exceeds its availability. In one exemplary embodiment, the utilization of the capacity of a shared storage resource is monitored and data is selected for compression based on the utilization. The compression of the selected data is triggered in response to the monitoring results. In addition, policies and rules are defined that determine which data is selected for compression. For example, the selection of data may be based on one or more of the following: a degree of utilization of said capacity of said shared storage resource, a volume size of said data, an indicator of compressibility of said data, a frequency of use of said data, a manual selection of said data, and a predefined priority of said data. The disclosed methods improve the operation of virtual allocation by further enhancing the availability of physical space through data compression. Virtual allocation and block-based data compression techniques are utilized to improve storage efficiency with a minimal risk to system availability and reliability and with a minimal impact to performance (access time and latency).
Owner:IBM CORP

Quality safety tracing method for food processing enterprises

InactiveCN103761546ANo repeated codes appearMeet randomnessCo-operative working arrangementsDebit schemesProduction lineRelational database
The invention discloses a quality safety tracing method for food processing enterprises. The quality safety tracing method includes the steps that a laser coder generates random tracing codes according to a coding rule when a laser marking machine in a production line device is dynamically read in an on-line tagging mode; the laser marking machine carries out tracing mode marking on products on a production line, and two-dimension codes and plain codes are all marked on packages; a fixed reader is used for scanning and reading designated tagged code portions of the products; the two-dimension codes are successfully scanned and read, the tracing codes are recorded, and relevance between the tracing codes and commodity attribute information is completed; if the two-dimension codes fail to be scanned, the two-dimension codes will be removed through a removing device; the commodity tracing code information and the commodity attribute information are recorded into a relational database; after the products are packaged, package code data and product tracing code data are related; the products are stacked, stacking codes and tagged stacking codes are generated, and the stacking codes and the product package code data are related; the stacking codes are scanned, storage of the products is completed, delivery orders and the stacking codes are scanned to complete delivery, and the database records delivery information.
Owner:武汉华工赛百数据系统有限公司

Tourism electronic contract digital certificate storage system and certificate storage method based on regional chain

The invention discloses a tourism electronic contract digital storage system and a storage method based on a regional chain, which comprises an electronic contract signing system, an electronic contract service database, a block chain access interface, a distributed block chain network module and a signature storage system. The electronic contract signing system includes contract establishing module, contract changing module, contract approving module, tourist signing module and contract filing inquiry module. The signature storage system comprises a hash operation module, an electronic signature module, a block creation module and a block chain forensics module. Hash operation is carry out on that business data related to the electronic contract to form the hash value code certificate data; Signing and encrypting the generated hash value encoded certificate data combined with the operator private key of the related service; Distributed storage of hash value encoded certificate data iscarried out in the node of the area chain; The invention adopts the block chain technology, realizes the electronic management of the contract, realizes the zero loss of the electronic contract data,and ensures that the transmission process cannot be tampered with.
Owner:MASHANGYOU TECH CO LTD

System and method for efficient backup using hashes

A method for data backup including (a) forming an image of the storage device; (b) for each block to be backed up to the image, generating a hash; (c) for each block stored in the image, storing a hash in a hash table; (c) for each additional block of the storage device to be backed up, generating a hash; (d) sorting all the generated hashes and deleting duplicate hashes; (e) comparing the hashes to identify candidate blocks that might have identical contents with contents of blocks stored in the image; (f) if the hashes are not coincident, then backing up, to the image, contents of unidentified blocks and blocks that do not have identical hashes, and (g) otherwise, storing links in the image instead of the contents of the blocks, (h) after checking all the hashes for those blocks that need to be backed up, writing only unique hashes to the hash table; (h) links for multiple blocks with identical contents point to a single block in the image, (i) the image contains a bitmap of the backup; (j) the bitmap contains indicators for the links that define if a block contains the content or if the block points to another block, (k) also indicators that reflect used and unused blocks such that an indicator whether contents are shared with another block vs. contents are unique to every other block in the image.
Owner:MIDCAP FINANCIAL TRUST

Equipment cluster health state evaluation method based on industrial big data

The invention discloses an equipment cluster health state evaluation method based on industrial big data and solves a health state evaluation problem of equipment clusters. Based on the full service period big data environment of the equipment clusters, an entity state information slicing management model is constructed to pre-process data; a condition similarity clustering method is utilized to carry out equipment cluster division, a regression method is utilized to establish a mirror image model, the mirror image model and an entity health state are mutually mapped, and a health state quantification model of the different equipment clusters is acquired; fusion and reconstruction of the health state data of the different equipment clusters are carried out to acquire health degrees of the different pieces of equipment, fitting of an equipment health state degeneration curve is carried out, and residual service life of the equipment is predicted. The method is advantaged in that a big data clustering modeling method is utilized, not only can effectively different evaluation on the equipment cluster health state be carried out, but also model redundancy of cluster modeling can be reduced, the internal structure of the model is simplified, normal operation of the cluster equipment is guaranteed, and use values of the equipment can be mined to a maximum degree.
Owner:XIDIAN UNIV

Deep-learning and cloud service-based face identification attendance system and method

InactiveCN106204780AImprove storage efficiency and comparison and identification efficiencyGood robustnessRegistering/indicating time of eventsCharacter and pattern recognitionStorage efficiencyWeb page
The invention discloses a deep-learning and cloud service-based face identification attendance system and method. The system comprises a face detection module, a data wireless transmission module, a cloud server and an attendance information management webpage, wherein the face detection module is connected with the data wireless transmission module; the data wireless transmission module is connected with the cloud server via network; a deep-learning network training module is established in the cloud server, face images are pre-trained, and feature vectors are saved; face images are extracted and transmitted to the cloud by virtue of the face detection module and the data wireless transmission module, and is input into the deep-learning network training module as a testing sample to match with faces, the match result is saved to a database, and the attendance information management webpage is interacted with the database to acquire attendance information. According to the system and method, matching identification is prevented from being performed in mass data by classified storage and classified calling, so that storage efficiency and matching identification efficiency can be improved, and the system has better robustness and higher efficiency.
Owner:WUHAN UNIV OF TECH

Packet classification

Methods and apparatus are provided for classifying data packets in a data processing device according to a set of processing rules, wherein, for each of a predetermined group of data items in each packet, each rule defines a rule range indicating a range of possible values of the corresponding data item for which that rule applies. The method comprises for each data packet: (a) performing a preliminary test for at least one data item in said group, the preliminary test comprising testing the value of the data item in the packet for a match with any of a predetermined set of frequently-occurring values for that data item, each frequently-occurring value being associated with a predetermined indicator, and, if a match is obtained, selecting for the data item the indicator associated with the matching frequently-occurring value; (b) performing an item search for any data item in the group for which no match is obtained in a preliminary test, the item search for a said data item comprising selecting a range identifier corresponding to the value of the data item from a predetermined set of range identifiers for that data item, the set of range identifiers indicating, for all possible values of the data item, which of the rule ranges corresponding to the data item in the rule set a value intersects, wherein the indicator associated with a said frequently occurring value for a data item is the range identifier corresponding to that value of the data item; and (c) identifying, based on the selected range identifiers for all data items in the group, at least one rule of any rules applicable to the data packet.
Owner:IBM CORP
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