112 results about "Complex data structures" patented technology

Systems and methods for configuring and evaluating policies that direct processing of one or more data streams are described. A configuration interface is described for allowing users to specify object oriented policies. These object oriented policies may allow any data structures to be applied with respect to a payload of a received packet stream, including any portions of HTTP traffic. A configuration interface may also allow the user to control the order in which policies and policy groups are executed, in addition to specifying actions to be taken if one or more policies are undefined. Systems and methods for processing the policies may allow efficient processing of object-oriented policies by applying potentially complex data structures to unstructured data streams. A device may also interpret and process a number of flow control commands and policy group invocation statements to determine an order of execution among a number of policies and policy groups. These policy configurations and processing may allow configuration and processing of complex network behaviors relating to load balancing, VPNs, SSL offloading, content switching, application security, acceleration, and caching.

Systems and methods for configuring and evaluating policies that direct processing of one or more data streams are described. A configuration interface is described for allowing users to specify object oriented policies. These object oriented policies may allow any data structures to be applied with respect to a payload of a received packet stream, including any portions of HTTP traffic. A configuration interface may also allow the user to control the order in which policies and policy groups are executed, in addition to specifying actions to be taken if one or more policies are undefined. Systems and methods for processing the policies may allow efficient processing of object-oriented policies by applying potentially complex data structures to unstructured data streams. A device may also interpret and process a number of flow control commands and policy group invocation statements to determine an order of execution among a number of policies and policy groups. These policy configurations and processing may allow configuration and processing of complex network behaviors relating to load balancing, VPNs, SSL offloading, content switching, application security, acceleration, and caching.

Systems and methods for configuring and evaluating policies that direct processing of one or more data streams are described. A configuration interface is described for allowing users to specify object oriented policies. These object oriented policies may allow any data structures to be applied with respect to a payload of a received packet stream, including any portions of HTTP traffic. A configuration interface may also allow the user to control the order in which policies and policy groups are executed, in addition to specifying actions to be taken if one or more policies are undefined. Systems and methods for processing the policies may allow efficient processing of object-oriented policies by applying potentially complex data structures to unstructured data streams. A device may also interpret and process a number of flow control commands and policy group invocation statements to determine an order of execution among a number of policies and policy groups. These policy configurations and processing may allow configuration and processing of complex network behaviors relating to load balancing, VPNs, SSL offloading, content switching, application security, acceleration, and caching.

Apparatus for storing and processing a plurality of data items each comprising supplied data values organized in one or more fields each of which stores typed data. Character strings and natural language text are converted to numerical token values in an array of fixed length integers and other forms of typed data (real numbers, dates, times, boolean values, etc.) are also converted to integer form and stored in the array. Stored metadata specifies the data type of all data in the integer array to enable each integer to be rapidly accessed and interpreted. When fixed length data types are present, the metadata specifies location, size and type of each fixed length element. When variable length data is stored in the integer array, size and location data stored in the integer array is accessed to rapidly and directly access the variable size data. The presence of implicit or explicit size information for each data structure, including variable size structures, speeds processing by eliminating the need to scan the data for delimiters, and by reducing the processing needed to perform memory allocation, data movement, lookup operations and data addressing functions. Data stored in the integer array is subdivided into items, and items are subdivided into fields. Items may be organized into more complex data structures, such as relational tables, hierarchical object structures, linked lists and trees, and the like, using special fields called links which identify other referenced items.

Method for enabling the simultaneous use of a first and a second programming language within a computer program, and apparatus to practice the method. To enable this sharing of languages, the present invention first provides for a common runtime representation of the data between the several languages in a program as a shared object model. The shared object model includes the layout of complex data structures (e.g., classes), the creation of data, the calling conventions, the destruction of data, the runtime representation of type information, dynamic function call dispatch, and dynamic type conversions. The use of a shared object model enables the sharing of the several compilers' internal representation of data between the different languages as a persistent shared symbol table. This shared internal data representation enables the several compilers to define their respective internal data representations in terms common to each of the compilers.

Anti-virus scanners can be deliberately disabled, inadvertently disabled, or simply slowed down to a point where the scanner becomes ineffective and the primary function of the scanning host device is disrupted when a suitably complex file is received by the scanning system for scanning. Archive files pose particular problems for scanners, since archives may contain very complex data structures, and require time consuming analysis. Virus scanners typically scan each element of an archive. Some virus scanners decompress each archive component for scanning. Virus developers have taken advantage of this scanning approach by creating complex archives designed to overwhelm a scanner, leaving a system unprotected or in a denial of service state. To counter such measures, when an archive (or other file) is passed to a scanner, various heuristics are applied to the archive so as to determine a risk-based scanning priority for the archive. Priorities can include normal priority, low priority for archives having suspicious characteristics, and discard without scanning for archives appearing to be constructed so as to overwhelm a scanner. Normal priority scans can occur immediately, while low priority scans can be relegated to only occurring while the scanning system is otherwise idle.

Methods and/or systems for representing and/or managing and/or querying data in an information system that allows non-programmer users to make additions of and/or modifications to data items while optionally preserving an underlying potentially complex data structure and preserving the ability to perform flexible and powerful queries and relationships in the data.

The invention provides a container cluster management system and an application method thereof. Through storing an Nginx forwarding rule and configuration items in a pre-established ConfigMap resourceobject, and monitoring the ConfigMap by a ConfigMap controller, when the ConfigMap resource object changes, a Controller generates an Nginx configuration file of according to information stored in the ConfigMap and then verifies and loads the Nginx configuration file to ensure that the configuration is effective, so that an external exposure service is achieved. When the external exposure serviceis achieved through combination with functions provided by Nginx, the load balancing purposes of seven layers and four layers are considered, the resource object and a complex data structure do not need to be additionally introduced, and the complexity of the container cluster management system is reduced when the external exposure service is achieved.

The invention discloses a symbolic-execution-based method for generating test cases with feedback. The method comprises the following steps of: (1) executing the conventional test cases, and collecting information covered by the test cases; (2) determining a symbolic execution covering object according to a control flow diagram of a tested program; (3) instrumenting the tested program, and implanting a symbolic execution control code; (4) selecting a proper seed test case from the conventional test case set; (5) generating a new test case for the covering object by using a symbolic execution method, and supplementing the new test case into the test case set; and (6) repeating the steps until a given test case generation aim is fulfilled. The method can be widely applied to automatic test in a software development process, and is used for automatically generating the test cases, so that the problem of constraint condition explosion of independent symbolic execution is solved, and efficiency is improved; and in addition, other generation methods can be combined, so that the problem that complex data structures cannot be processed by the symbolic execution method can be alleviated.

The invention provides a solid state disk which compresses data through a flash memory conversion layer and stores relevant information of compressed data in a back-up area of a flash memory physical page. The solid state disk can reduce data quantity written into and read from the flash memory solid disk of each time, reduces times of erasure operation caused by writing operation simultaneously, and prolongs service life. In addition, a read-write process of data is simple and convenient, a complex data structure is not added, a buffering area is not added either, a mapping table in a traditional flash memory conversion layer is not required to be modified, and cost of a data read-write process is guaranteed to be low.

The invention discloses a software defect prediction method based on kernel principal component analysis and extreme learning machine. Aiming at the problems that irrelevant module features damage defect prediction model performances in prediction of software defect quantity and the original defect data cannot be accurately represented by the original characteristics, the method disclosed by the invention comprises the following steps: projecting original data into a potential characteristic space through nonlinear mapping by adopting kernel principal component analysis, so that the mapped characteristics are capable of accurately characterizing the complex data structure and increasing the linear separability probability of data in the space; and extracting the representative characteristics of the data, and finally establishing a defect prediction model by adopting an extreme learning mechanism according to the data after characteristic extraction.

The invention discloses a table connection optimizing method based on a heterogeneous system, a CPU and an accelerator. According to the table connection optimizing method based on the heterogeneous system, through the combination of the advantages of the CPU and the accelerator, complicated logic control such as task distribution and scheduling and complicated data structure processing such as table disassembly and reconstruction of a tuple are completed by the CPU; high-density calculation for connection of two tables is completed by the accelerator having ultrahigh parallel calculation capacity; in this way, the table connection optimizing method is effectively adaptive to the different hardware features of the CPU and the accelerator, and the problem that calculation capacities are not coordinate under a heterogeneous platform is solved.