Dynamic data is data which varies rapidly and unpredictably. This kind of data is generally used in on-line decision making and hence needs to be delivered to its users comforming to certain time or value based applicationspecific requirements. The main issue in the dissemination of dynamic web data such as stock prices, sports scores or weather data is the maintenance of temporal coherency wit...

Performance modelling and veriication are vital steps in the development cycle of any cache coherency protocol. Two separate models are usually required to perform each analysis step and as protocols become increasingly complex each can become correspondingly unwieldy. We examine how stochastic process algebra can be used to describe cache coherency protocols in such a way as to allow both the ...

We propose an approach for quantifying the biological relatedness between gene products, based on their properties, and measure their similarities using exclusively statistical NLP techniques and Gene Ontology (GO) annotations. We also present a novel similarity figure of merit, based on the vector space model, which assesses gene expression analysis results and scores gene product clusters' bi...

[1] We show that the spatial coherency of the ambient seismic field can be used for attenuation tomography in the western United States. We evaluate the real portion of the spatial coherency with an elastic geometric spreading term (a Bessel function) and a distance dependent decay (an attenuation coefficient). In order to invert the spatial coherency, a weight stack inversion technique is appl...

Scalable shared memory multiprocessors commonly employ replication and the associated coherency maintenance of memory blocks, but diier in the granularity from ne-grain (cache-coherent multiproces-sors) to coarse-grain (page-based distributed shared memory systems). Regardless of the size of coherency blocks, attaining good performance may depend on the number of copies staying small. Previous ...

We have developed an adaptive, automatic, correlationand clusteringbased method for greatly reducing the degree of picking inconsistency in large, digital seismic catalogs and for quantifying similarity within, and discriminating among, clusters of disparate waveform families. Innovations in the technique include (1) the use of eigenspectral methods for cross-spectral phase estimation and for p...

Applications in finance and telecommunications (intelligent network, network management, mobile computing) cause renewed interest in distributed and replicated data management. Since synchronous update of replicated data is experienced to degrade distributed systems performance substantially, relaxing the requirement of coherency (mutual consistency) has become a favorable approach to achieve h...