Electronics and Telecommunications Research Institute

Hun-Soon Lee

Mi-Young Lee

Myung-Joon Kim

June Hwan Kim

Hyun-Hwa Choi

Byoung-Seob Kim

Myung-Cheol Lee

Seok-Il Song

Jae-Soo Yoo

June-Il Pee

Disclosed herein are an apparatus and method for managing a data stream distributed parallel processing service. The apparatus includes a service management unit, a Quality of Service (QoS) monitoring unit, and a scheduling unit. The service management unit registers a plurality of tasks constituting the data stream distributed parallel processing service. The QoS monitoring unit gathers information about the load of the plurality of tasks and information about the load of a plurality of nodes constituting a cluster which provides the data stream distributed parallel processing service. The scheduling unit arranges the plurality of tasks by distributing the plurality of tasks among the plurality of nodes based on the information about the load of the plurality of tasks and the information about the load of the plurality of nodes.

Apparatus and method for managing data stream distributed parallel processing service

Provided are a content-based searching method and system for multimedia objects using a high-dimensional feature vector data based on a 2-level signature. The method for searching the high-dimensional data using a signature file includes calculating a first-level query signature and a second-level query signature by using the query feature vector, performing a first filtering operation to obtain a primary candidate cell group by searching a second-level signature file, and performing a secondary filtering operation to obtain a secondary candidate cell group having a high similarity in a primary candidate cell group. Accordingly, the high-dimensional data searching method and system can process a query quickly and accurately and can increase the searching accuracy by using an enhanced signature of the query feature vector.

Method and system for indexing and searching high-dimensional data using signature file

Provided is a stream data processing system and method for avoiding duplication of data process. The system including: an evaluation result storing unit for updating and storing a query condition evaluation result; a window evaluating unit for performing window evaluation; a data separating unit for separating data into new data and duplication input data; a reuse result extracting unit for receiving duplication input data from the data separating unit and extracting a query condition evaluation result; a query condition evaluating unit for receiving new data from the data separating unit, performing query condition evaluation and creating a query condition evaluation result; and a result organizing unit for receiving the query condition evaluation result, merging, outputting and transmitting the query condition evaluation result to the evaluation result storing unit.

Stream data processing system and method for avoiding duplication of data process

A bulk loading method, for use in a high-dimensional index structure using some parts of dimensions based on an unbalanced binarization scheme, accelerates an index construction and improves a search performance. For the purpose, the bulk loading method calculates a topology of the index by recognizing information for the index to be constructed using a given data set, splits the given data set into sub-sets of data by repeatedly performing an establishment of a split strategy and a binarization based on the calculated topology of the index, if a leaf node is derived from the sub-sets of data divided through a top-down recursive split process, reflects a minimum bounding region of the leaf node on a higher node, and, if a non-leaf node is generated, repeatedly performing the above processes for another sub-set of data to thereby produce a final root node.

Growing community of inventors

Daejeon, South Korea

Hun-Soon Lee