Abstract:
A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The performance metric data is collected by one or more probes running on machines about which data is being collected. The performance metric data is compressed prior to transmission to a server over any data path. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions. For speed, cache memory is used. Performance metric data outside the start time and end time named by the user on a query screen is eliminated before the regular expression is applied.
Abstract:
A server device for safely managing information is configured to store prescribed character codes and converted character codes in correlation with each other, said server device being connected, via a network (N), to a terminal device for receiving a converted character code string corresponding to a character string indicating personal information stored in a storage unit device. Responsive to the reception of a prescribed character code string corresponding to a character string indicating an item included in the personal information by the terminal device, the server device converts each of prescribed character codes included in the prescribed character code string to a corresponding converted character code, thereby generating a converted character code string corresponding to the character string indicating the item. The service device then commands the storage unit device to transmit the converted character code string corresponding to the character string indicating the personal information to the terminal device.
Abstract:
A method may include determining that a character event of an extensible markup language (XML) document is untyped. The character event may be associated with a content string including whitespace. The method may further include determining that the character event is associated with an event code having a length of one. In response to determining that the character event is untyped and is associated with the event code having the length of one, the content string may be encoded as an encoded content string, including encoding the whitespace of the content string such that the whitespace of the content string is preserved.
Abstract:
A character code conversion device (10) utilizes not a standard character code table but a conversion character code table that is the converted standard character code, and transmits a conversion character code string indicating a sentence subjected to transmission to a sentence recognition device (20) via a network (N). Hence, even if a third party obtains the conversion character code string, the standard character code table is utilized, and thus the character string specified from the conversion character code string is completely different from the sentence subjected to transmission. Accordingly, proper recognition of the sentence subjected to transmission is difficult. Consequently, the security of the sentence subjected to transmission is enhanced.
Abstract:
Real-time web service reconfiguration and content correction is provided. A web browser receives one or more webpages, each webpage including one or more frames. The received webpages are saved from the web content buffer to a temporary work area. The profile settings in a web browser profile are compared to the respective settings in the saved webpages. The web browser profile settings include lang, script and charset. Differences between the web browser profile and the settings in the saved webpages are detected and corrected to use the preferred setting from the web browser profile.
Abstract:
Techniques related to accelerated detection of matching patterns are disclosed. In an embodiment, a method may involve, for a single field of a body of records, contiguously storing field values, thereby storing the field values as a concatenation. The method may also involve identifying a match in the concatenation that matches a value pattern specified by a value pattern expression. The value pattern may include a first partial pattern and a second partial pattern. Further, the method may involve determining that the match is contained in a single field value of the body of records. Still further, the method may involve establishing the match as a matching value. The match may be determined to be contained in the single field value based on searching a data structure comprising length information or offset information for a subset of the field values stored as the concatenation.
Abstract:
For dynamically changing a rendering of content, the content including a textual character is received at a mobile device. An encoding of the textual character uses a first code point according to a character encoding standard. The mobile device's presence at a geographical location is detected. The mobile device is associated with a user. A variant selection rule is selected at the device. The variant selection rule specifies a location based condition to select a variant corresponding to the textual character. A variant is selected at the device according to the variant selection rule, a variant mapping corresponding to the first code point. The variant mapping includes the variant. The encoding of the textual character is replaced at the device with an encoding of the variant in the rendering of the content.
Abstract:
A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.
Abstract:
An encoding unit encodes first encoding each of first words in a target file utilizing a first code allocation rule, each of the first words having an appearance frequency larger than an appearance frequency of a word positioned at a given ordinal rank in word frequency information, the word frequency information being information of word frequencies in a plurality of files that the target file is included, the first code allocation rule being generated from the word frequency information, and the encoding unit encodes at least a second word in the target file into a code with a first code length utilizing a second code allocation rule, the second word having appearance frequency smaller than the appearance frequency of the word positioned at the given ordinal rank in the word frequency information, the second code allocation rule being different from the first code allocation rule.
Abstract:
Base64 encoding and decoding advances are characterized. Some embodiments rely on only a single bit shifting operation; some have no reliance on bit-shifting. Some access data source bytes with multi-byte reads, and use those data source bytes as indexes into an encoding lookup table. Some use a table with four quadrants, each of which contains a copy of the same 64 encoding values. Some use a negative value as both a counter and an index. Some exclude BSWAP instructions even with a little-endian processor. Some partition a data source into N partitions, which are then encoded or decoded concurrently. In some, partition length is based on expected processor performance. Unrolled loops, exemplary assembly language code and coding choices, division using MagicNumber multiplication, terminal null addition, encoding/decoding applications, and other examples are also presented.