data distribution

The optimizer's estimate could be very close to the actual value as long as the data distribution has not changed since the last RUNSTATS.

Data distribution is one of the key factors that affect the performance of programs running on distributed memory multiprocessors.

Through the data transmission, dynamic display of the data distribution process, visual simulation of electronic information.

data distribution and collection can be spread across many servers , and participant hosts transfer large data unobtrusively.

A cost estimation that assumes normal data distribution may not best reflect the real cost of a query when different parameters are used.

Clustering is an important technology in Data Mining(DM) for the discovery of data distribution and latent data pattern.

The rest of the parameters have the same semantics as in Data Distribution or Replication Policy.

The optimizer uses data distribution information generated by UPDATE STATISTICS to calculate selectivity for the filters in the query.

Persisting an instance whose type is replicated invokes a Replication Policy instead of a Data Distribution Policy.

The optimizer uses data-distribution statistics to determine whether a column contains unique values.

These differences can exist due to statistical correlation and data distribution, among other reasons.

HLA provides the possibility for large-scale interactive simulation through data distribution management (DDM).

A typical system configuration would include four aircraft, one ground control system and one Trojan Spirit II data distribution terminal.

A key challenge is effective reference and configuration data distribution in large and highly available SOA implementations.

Accurate estimate of data distribution and efficient partition of data space are key problems in high-dimensional indexing schemes.

Table level statistics are decoded and loaded into the data distribution cache for the optimizer to use.

Spatial autocorrelation is a space analysis method for detect and quantify spatial data distribution Patterns.

Specify only those columns for which data distribution statistics should be collected.

RUNSTATS collects two types of data distribution statistics: frequency statistics and quantile statistics.

This can be an expected behavior when the data distribution is highly skewed.

In the paper, the parameters of the prior data distribution are given by numerical calculation.

This paper focused on the design and implementation of Meridian Project data distribution system.

The mode is the most frequently occurring value of a data distribution.

Exchange spills are sometimes transient and may disappear as data distribution changes.

In this note a new method is proposed to estimate the image noise variance for this type of data distribution.

In recent years, researchers become interested in manifold based learning to better exploit the structure of data distribution.

An inappropriate partitioning key can cause uneven data distribution.

The algorithm can construct the histogram more precisely when the data distribution is skewed and is more suitable for the real-world data.

Absrtact: An application of data distribution service (DDS) in distributed system simulation is presented in this paper.

The relevant statistics about the data distribution are available, but misleading.

But the selectivity calculated in this way is not as accurate as selectivity calculated using data distribution.

Sum up data accessing conflict data distribution and disk matching in multichannel data broadcast concisely.

In this case, the optimizer uses a generic rule or a default value to estimate an average cost by assuming normal data distribution.

The statistics show the data distribution within a table.

This method uses a compressed histogram based on both MCV and equi-depth histogram to store data distribution information of database.

Jan notes that the technique can also be used to implement other data distribution strategies, such as sharding.

Depending on the data distribution, the concurrent bulk load streams might block each other.

Data distribution in particular columns may change over time.

the relevant statistics about the data distribution are not available.

We performed a series of experiments, and the results show that our method has better accuracy when the data distribution is skewed .

Insitu is using RTI Data Distribution Service in the ground control stations (GCSs) and in future air-to-ground communications.

Examine data distribution in the column.

But we do have control on all kinds of cache, Data-distribution cache, Dictionary cache, SPL routine cache, and SQL statement cache.

Data distribution method based on genetic algorithm.

Data Distribution Simulation Identification Using Combined Structure Neural Networks

Architect Data Distribution Service for Real-Time Systems (DDS) applications to manage the complexity of interconnected components

An Effective Data Distribution Approach for Distributed Memory Multiprocessors

New Algorithm of Data Distribution Management for Distributed Interactive Simulation

A Hierarchical Multicast Address Allocating Strategy in Data Distribution Management

Data distribution management in underwater acoustic warfare simulation system

Linear Partition Model Computation of Data Distribution in Parallel Compilation

Scalability of Parallel Systems with Different Data Distribution Methods

The Performance Analysis of Applying Packet Level FEC to Satellite Data Distribution Systems

Insensitiveto the order of records in input and does not presume some canonical data distribution

A Method for Automatic Schema Matching Using Characteristic of Data Distribution

Discussion on a Heuristic Algorithm of Data Distribution in Grid Computing

Fuzzy Recognition for Measurement Data Distribution

Data distribution in earthquake emergency response system

Practical Methods on Data Distribution Management of Large Complex System

Improved Loop Partition Algorithm in Linear Data Distribution

High-Frequency Data Distribution Analysis in Chinese Stock Market

Simply Analysing the Urban Spatial Data Distribution

Data distribution and communication with users

Fuzzy DR algorithm for data distribution management

A Fuzzy Grouping Method for Data Distribution Management

R-tree Method of Matching Algorithm for Data Distribution Management

Model and solving methods for index data distribution on internet

second, according to the data distribution, a modified method for rough selection of wavelet basis is given;

Research on Application of Data Distribution Model

A Dynamic Weighted Ensemble Prediction Algorithm Based on Streaming Data Distribution

Study and Application of Data Distribution Under CIMS

Research on Image Data Distribution Technology of LS MPP

Implementation of Data Distribution Region Matching Based on Space-filling Curve

Design of intrusion detection system in high-speed networks based on data distribution

Data Distribution Management Based on The Layer of Interest

Data Distribution Policy in Slice

Dynamic Data Distribution Strategy of HLA Based on Association Rule

The Study of Geospatial Spacial Metadata and Data Distribution Based on Internet

Research and Practice on High Speed IDS Based on Data Distribution

Data Distribution Based on IP Multicast in LANs

A Data Distribution System Based on Ice