Hewlett-Packard

About: Hewlett-Packard is a company organization based out in Palo Alto, California, United States. It is known for research contribution in the topics: Signal & Substrate (printing). The organization has 34663 authors who have published 59808 publications receiving 1467218 citations. The organization is also known as: Hewlett Packard & Hewlett-Packard Company.

System for automatic synchronization of common file between portable computer and host computer via communication channel selected from a plurality of usable channels there between

Abstract: A handheld computer which contains an LCD display having a digitizing surface to allow pen input. Internal storage takes several forms, such as a large flash ROM area, battery-backed up RAM and an optional hard disk drive. Several alternative communication paths are available, such as the previously mentioned modem, a parallel printer port, a conventional serial port, a cradle assembly connected to the host computer, and various wireless short distance techniques such as radio frequency or infrared transmission. The computer can readily communicate with other sources, particularly to a host desktop computer, to allow automated synchronization of information between the host and the handheld system. Preferably the remote synchronization is performed at several user selectable levels. When the handheld computer is in a cradle and actively connected to the host computer, automatic capture of updated data in the host computer is performed. Several synchronization techniques are utilized to keep track of different types of files. In addition, while communication is established the handheld computer can enter a remote control mode, allowing the user access to files and applications not included in the handheld computer.

Sparse indexing: large scale, inline deduplication using sampling and locality

Abstract: We present sparse indexing, a technique that uses sampling and exploits the inherent locality within backup streams to solve for large-scale backup (e.g., hundreds of terabytes) the chunk-lookup disk bottleneck problem that inline, chunk-based deduplication schemes face. The problem is that these schemes traditionally require a full chunk index, which indexes every chunk, in order to determine which chunks have already been stored; unfortunately, at scale it is impractical to keep such an index in RAM and a disk-based index with one seek per incoming chunk is far too slow. We perform stream deduplication by breaking up an incoming stream into relatively large segments and deduplicating each segment against only a few of the most similar previous segments. To identify similar segments, we use sampling and a sparse index. We choose a small portion of the chunks in the stream as samples; our sparse index maps these samples to the existing segments in which they occur. Thus, we avoid the need for a full chunk index. Since only the sampled chunks' hashes are kept in RAM and the sampling rate is low, we dramatically reduce the RAM to disk ratio for effective deduplication. At the same time, only a few seeks are required per segment so the chunk-lookup disk bottleneck is avoided. Sparse indexing has recently been incorporated into number of Hewlett-Packard backup products.

A music similarity function based on signal analysis

Abstract: The present invention computer method and apparatus determines music similarity by generating a K-means (instead of Gaussian) cluster signature and a beat signature for each piece of music. The beat of the music is included in the subsequent distance measurement.

Anisotropic diffusion of multivalued images with applications to color filtering

Abstract: A general framework for anisotropic diffusion of multivalued images is presented. We propose an evolution equation where, at each point in time, the directions and magnitudes of the maximal and minimal rate of change in the vector-image are first evaluated. These are given by eigenvectors and eigenvalues of the first fundamental form in the given image metric. Then, the image diffuses via a system of coupled differential equations in the direction of minimal change. The diffusion "strength" is controlled by a function that measures the degree of dissimilarity between the eigenvalues. We apply the proposed framework to the filtering of color images represented in CIE-L*a*b* space.

Balance of power: dynamic thermal management for Internet data centers

Abstract: Internet-based applications and their resulting multitier distributed architectures have changed the focus of design for large-scale Internet computing. Internet server applications execute in a horizontally scalable topology across hundreds or thousands of commodity servers in Internet data centers. Increasing scale and power density significantly impacts the data center's thermal properties. Effective thermal management is essential to the robustness of mission-critical applications. Internet service architectures can address multisystem resource management as well as thermal management within data centers.