Abstract: A storage system in which a cluster is configured by a plurality of storage nodes is configured to include: a management server configured to store a template including an OS of a storage node, a process program that configures a process, and an installer; a maintenance node VM configured to collect configuration information required for configuring a restore-target storage node from within the storage system; a maintenance node, a management server, and a hypervisor configured to create a VM for a new storage node on the basis of the template and the configuration information; and a cluster controller configured to create a process in the new storage node using the installer and restore the process to a state corresponding to the process of the restore-target storage node.

Abstract: A distributed storage system having a plurality of nodes that include a first node that stores write data in a storage device, and a second node that stores a redundancy code of the write data. The first node is configured to select a second node, among the plurality of nodes, to store the redundancy code after receiving the write data; and send the write data to the selected second node. The second node is configured to receive and hold the write data, determine whether a prescribed starting condition is met asynchronously with reception of the write data, calculate the redundancy code and a plurality of pieces of data and store the redundancy code in the storage device if the prescribed starting condition is met, hold the write data until a prescribed deletion condition is met and delete the write data after the prescribed deletion condition is met.

Abstract: A storage system in which a cluster is configured by a plurality of storage nodes is configured to include: a management server configured to store a template including an OS of a storage node, a process program that configures a process, and an installer; a maintenance node VM configured to collect configuration information required for configuring a restore-target storage node from within the storage system; a maintenance node, a management server, and a hypervisor configured to create a VM for a new storage node on the basis of the template and the configuration information; and a cluster controller configured to create a process in the new storage node using the installer and restore the process to a state corresponding to the process of the restore-target storage node.

Abstract: A distributed storage system having a plurality of nodes that include a first node that stores write data in a storage device, and a second node that stores a redundancy code of the write data. The first node is configured to select a second node, among the plurality of nodes, to store the redundancy code after receiving the write data; and send the write data to the selected second node. The second node is configured to receive and hold the write data, determine whether a prescribed starting condition is met asynchronously with reception of the write data, calculate the redundancy code and a plurality of pieces of data and store the redundancy code in the storage device if the prescribed starting condition is met, hold the write data until a prescribed deletion condition is met and delete the write data after the prescribed deletion condition is met.

Abstract: A distributed storage system includes a physical chunk management module, a logical chunk management module, a volume management module and a pair management module. The physical chunk management module is configured to manage physical chunks obtained by dividing a physical storage area of the storage device by a predetermined size. The logical chunk management module is configured to manage, as each of logical chunks, a logical storage area to which one or more physical chunks among the physical chunks is allocated. The volume management module is configured to provide a volume to which one or more logical chunks among the logical chunks is allocated, to outside. The pair management module is configured to manage, as a pair, the logical chunks storing the same data among the plurality of nodes.

Abstract: This invention relates to a method and apparatus for extracting contour lines from a pattern obtained in image processing. The disclosed method and apparatus makes it possible to obtain the contour lines in real-time and, moreover, can be easily incorporated into hardware. To achieve these objects, a invention applies the simplified discrimination method for selecting pixels, which form the pattern contour, wherein each pixel is examined within groups of pixel, i.e. X-axis and Y-axis groups. The magnitude of a gray level gradient of each pixel is compared with those of neighboring pixels located in either direction of X-axis group or Y-axis. The pixel which has the maximum magnitude of gray level gradient among those of adjacent pixels is discriminated from each group as contour date. This discrimination method is simple and remarkably improved. When contour lines for two groups are combined, the pattern contours can be easily obtained.

Abstract: An image processing system mainly used in an image verification system for detecting and correcting distortion of an input image includes the following devices; an image memory for storing a digitized image before, during, and after correction, a working memory for temporarily storing intermediate data of the image on correction, density level extension devices for extending the density level or gradation of the image by repeatedly reading out the contents of the image memory and the working memory by using a matrix window containing picture elements of the image, a density slope detection device for detecting the extended density level and calculating a density slope or gradient by using the matrix window, and a correction device for correcting density distribution and line width of the image based on the extended density level and the calculated density slope.

Abstract: An apparatus for evaluating density-evenness of patterns printed on an article includes a circuit for calculating density distribution of the image data in each segment; a circuit for normalizing the density distribution with an area of effective image data in each segment; and a circuit for quantifying the density and evenness of the patterns.