170 results about "Cache optimization" patented technology

A method (400) and system (106) is provided for run-time cache optimization. The method includes profiling (402) a performance of a program code during a run-time execution, logging (408) the performance for producing a cache log, and rearranging (410) a portion of program code in view of the cache log for producing a rearranged portion. The rearranged portion is supplied to a memory management unit (240) for managing at least one cache memory (110-140). The cache log can be collected during a real-time operation of a communication device and is fed back to a linking process (244) to maximize a cache locality compile-time. The method further includes loading a saved profile corresponding with a run-time operating mode, and reprogramming a new code image associated with the saved profile.

The invention provides a software performance optimization method based on a CPU multi-core platform. The method comprises software characteristic analysis, parallel optimization scheme formulation and parallel optimization scheme implementation and iteration tuning. Particularly, the method comprises application software characteristic analysis, serial algorithm analysis, CPU multi-in/thread parallel algorithm design, multi-buffer design, design of communication modes among threads, memory access optimization, cache optimization, processor vectorization optimization, mathematical function library optimization and the like. The method is widely applicable to application occasions with multi-thread parallel processing requirements, software developers are guided to perform multi-thread parallel optimization improvement on prior software rapidly and efficiently with short developing periods and low developing costs, the utilization of system resources by software is optimized, data reading and computing and mutual masking of write-back data are achieved, the software running time is shortened furthest, the hardware resource utilization rate is improved apparently, and the software computing efficiency and the software whole performance are enhanced.

Embodiments of the present invention provide techniques for customizing aspects of a metadata-driven software application. In particular, embodiments of the present invention provide (1) a self-contained metadata engine for generating customized metadata documents from base metadata documents and customizations; (2) a customization syntax for defining customizations; (3) a customization creation/update component for creating and updating customizations; (4) a customization restriction mechanism for restricting the creation of new customizations by specific users or groups of users; and (5) memory and caching optimizations for optimizing the storage and lookup of customized metadata documents.

Embodiments of the present invention provide techniques for customizing aspects of a metadata-driven software application. In particular, embodiments of the present invention provide (1) a self-contained metadata engine for generating customized metadata documents from base metadata documents and customizations; (2) a customization syntax for defining customizations; (3) a customization creation/update component for creating and updating customizations; (4) a customization restriction mechanism for restricting the creation of new customizations by specific users or groups of users; and (5) memory and caching optimizations for optimizing the storage and lookup of customized metadata documents.

The invention discloses a data flow compilation optimization method oriented to a multi-core cluster system. The data flow compilation optimization method comprises the following steps that task partitioning and scheduling of mapping from calculation tasks to processing cores are determined; according to task partitioning and scheduling results, hierarchical pipeline scheduling of pipeline scheduling tables among cluster nodes and among cluster node inner cores is constructed; according to structural characteristics of a multi-core processor, communication situations among the cluster nodes, and execution situations of a data flow program on the multi-core processor, cache optimization based on cache is conducted. According to the method, the data flow program and optimization techniques related to the structure of the system are combined, high-load equilibrium and high parallelism of synchronous and asynchronous mixed pipelining codes on a multi-core cluster are brought into full play, and according to cache and communication modes of the multi-core cluster, cache access and communication transmission of the program are optimized; furthermore, the execution performance of the program is improved, and execution time is shorter.

The invention relates to the technical field of disk caching, in particularly to an object caching method based on a disk. The object caching method includes the steps that file storage space is divided to construct a file storage structure of secondary indexes, and the processes of adding objects to a disk cache and acquiring and deleting cached objects from the disk cache, a cache failure mechanism and the cache optimization arrangement process are achieved according to the file storage structure of the secondary indexes. Data of the objects are stored through chunks with the fixed sizes, the multiple small objects are merged and stored in one chunk, large objects are divided into a plurality of object blocks, the object blocks are stored in the multiple chunks respectively, the objects of any size and any type can be cached, and caching efficiency is higher.

In a voice-extensible markup-language-enabled voice application deployment architecture, an application logic for determining which portions of a voice application for deployment are cached at an application-receiving end system or systems has a processor for processing the voice application according to sequential dialog files of the application, a static content optimizer connected to the processor for identifying files containing static content, and a dynamic content optimizer connected to the processor for identifying files containing dynamic content. The application is characterized in that the optimizers determine which files should be cached at which end-system facilities, tag the files accordingly, and prepare those files for distribution to selected end-system cache facilities for local retrieval during consumer interaction with the deployed application.

The invention provides a distributive cache storage method for dynamic self-adaptive video streaming media. In combination with dynamic self-adaptive streaming media encoding technology of a main server, the method encodes videos into versions of different code rate. At the same time, difference of code rate-distortion performance among different video content, buffer capacity limits of edge servers, network connection conditions of different users and video on demand probability distribution are taken into consideration. Subsets of video versions of the edges servers required cache are determined by adopting the distributive cache optimization storage method. Finally, the optimization of integral quality of videos downloaded by the user through the edge servers is realized. The method provided by the invention improves the utilization rate of cache video content of the edge servers, reduces the video streaming media service load of the main server and provides batter video service quality for the user.

The invention belongs to the field of computer network communication and particularly relates to a network intermediate node cache optimization method based on flow characteristic analysis. The method includes when the flow passes the intermediate node, firstly classifying the flow, and then according to the type of the flow, determining how to process the flow in divided buffer area space of the type according to the cache condition of the area and combining a least recently used (LRU) algorithm. The system can update flow classification models and redistribute buffer space to different new classifications regularly. The method mainly focuses on solving the transparency problem of a network intermediate node cache strategy, namely, algorithm design of the network intermediate node cache is guaranteed to be unrelated to a specific user layer protocol design, and the efficiency of the strategy which satisfies the programming transparency is managed to be optimal.

The present invention provides for a method for computer program code optimization for a software managed cache in either a uni-processor or a multi-processor system. A single source file comprising a plurality of array references is received. The plurality of array references is analyzed to identify predictable accesses. The plurality of array references is analyzed to identify secondary predictable accesses. One or more of the plurality of array references is aggregated based on identified predictable accesses and identified secondary predictable accesses to generate aggregated references. The single source file is restructured based on the aggregated references to generate restructured code. Prefetch code is inserted in the restructured code based on the aggregated references. Software cache update code is inserted in the restructured code based on the aggregated references. Explicit cache lookup code is inserted for the remaining unpredictable accesses. Calls to a miss handler for misses in the explicit cache lookup code are inserted. A miss handler is included in the generated code for the program. In the miss handler, a line to evict is chosen based on recent usage and predictability. In the miss handler, appropriate DMA commands are issued for the evicted line and the missing line.

The invention discloses a social insurance big data distributed preprocessing method and system. According to the main technical scheme, the method comprises the steps of defining a data preprocessing process as a data preprocessing operation that contains a plurality of preprocessing operation nodes, and concurrently executing the preprocessing operation nodes in independent threads; allocating a plurality of executive threads to a data operation node with high complexity, and concurrently executing the data preprocessing operation by a distributed cloud server cluster; and loading and writing data of the distributed preprocessing system in a distributed file system by column, and performing cache optimization on the data writing operation by utilizing NoSQL. According to the method and the system, the processing performance of preprocessing cloud servers is brought into full play, the performance bottleneck of a single server is overcome, redundant data transmission between the servers and data nodes of the HDFS (Hadoop Distributed File System) is avoided, and the efficiency of loading the data in the HDFS is improved, so that the big data preprocessing efficiency is enhanced.

The invention relates to a mobile edge caching method based on regional user interest matching, and belongs to the technical field of caching. The method comprises the following steps: S1, establishing a regional user preference model; S2, establishing a joint cache optimization strategy; S3, establishing a cache system model; S4, designing a cache algorithm. When a cache mechanism of the invention is used, the video caching gain can be maximized under the condition that the diversity of cached videos is met, compared with a current caching mechanism, the video caching benefit and QoE of a user can be effectively improved, and an effective solution is provided for caching and online watching of large-scale ultra-high-definition videos in a future 5G scene.

The invention relates to a method for supporting D2D cellular heterogeneous network joint user association and content cache, and belongs to the technical field of wireless communication. The method comprises the following steps: S1 modeling a user content requirement identifier; S2 modeling a user association variable; S3 modeling a user content cache variable; S4 modeling a user data transmission rate; S5 modeling a user total transmission delay; S6 modeling a user D2D mode transmission delay; S7 modeling a user small cell base station association mode transmission delay; S8 modeling a usermacro cell base station association mode transmission delay; S9 modeling joint user association and content cache restriction conditions; and S10 determining a user association mode and a content cache optimization strategy based on the minimum user total transmission delay. By adoption of the method provided by the invention, the optimal user association network strategy, the optimal content placement and the minimum user content total transmission delay are achieved on the premise of effectively ensuring the minimum data rate requirement of each user.

The invention provides a content center network caching method based on a software defined network. Under a fused architecture of the software defined network and a content center network, concentrated control and overall cache optimization are performed on caching nodes and content via perception of a controller on overall network topology and cached information. The controller periodically makes statistics on the cached information, and then performs cache optimization according to a data layer cache decision-making request. According to the method provided by the invention, an importance degree and an edge degree of the nodes and the popularity of content are brought into a cache decision-making strategy, mathematical modeling is performed according to the above information, and a particle swarm intelligent algorithm is used for optimizing the mathematical model. The method provided by the invention fully utilizes advantages of the controller on overall control and logic centralization, and thus the cache can perform decision optimization under multi-node coordination.

The invention discloses a cache optimization method of real-time vertical search engine objects, comprising the following steps: predicting the popularity trend of different objects and calculating the cache weights of different objects by utilizing the relation between the objects and the object properties; calculating the initial distribution and adjustment method of the grasping quota in each object by utilizing the characteristics the query to the same object by users conforms to a poisson process and the data grasping is used as query driving; and calculating the dynamic balance method ofthe grasping quota in each object by utilizing the characteristic that the true change frequency of data conforms to the poisson process. The invention increases the use ratio of the vertical searchengine on the grasping quota of a data site, increases user experience of real-time vertical search engine and realizes the adaptive configuration of the real-time vertical search engine to differentdata sites.

The invention discloses a storage cache optimization method and system, equipment and a storage medium, and the method comprises the following steps: building an independent redundant disk array through employing a plurality of hard disks, and building a logic volume based on the independent redundant disk array; creating a logic unit corresponding to the logic volume on the logic volume, and creating a virtual volume on the logic unit; creating a virtual block of the input/output management layer based on the virtual volume, and monitoring whether read-write operation exists or not in real time; and in response to the existence of the read-write operation, storing the data of the read-write operation into the virtual block. According to the storage cache optimization method and system, the equipment and the medium provided by the invention, the virtual block is arranged between the independent redundant disk array and the file system, so that the application program reaches the virtual block firstly during reading and writing, and the storage read-write speed and the storage performance are greatly improved.

The invention relates to a file transmission method and apparatus based on NDN cache optimization. The file transmission method comprises a first step of, when a peer device receives a content segment request and if a content cache device has a corresponding content segment, then transmitting the corresponding content segment out from a request port; a second step of, if the content cache device has no corresponding content segment and if a wait-for-response table contains the name of the content segment, then recording the request port at a table item corresponding to the name; and a third step of, if the wait-for-response table does not contain the name of the content segment, then searching for a forwarding information table, and if the forwarding information table does not contain the name of the content segment or combination of request ports, recording the name of the content segment and the request ports in the wait-for-response table. The method solves the technical problems of short shared file survival time, high network data redundancy rate and large consumed bandwidth in the prior art.