[PDF] Top 20 Reliability Design for Large Scale Data Warehouses
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Reliability Design for Large Scale Data Warehouses
... Abstract—Data reliability has been drawn much concern in large-scale data warehouses with 1PB or more ...reliable large-scale data ... See full document
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AN EFFICIENT DATA COLLECTION SCHEME BASED ON TRUST EVALUATION IN LARGE SCALE WIRELESS SENSOR NETWORKS
... in data collection and data forwarding in ...Efficient Data Collection based on Trust Evaluation (EDCTE) in Large Scale WSNS to improve the reliability of data aggregation ... See full document
6
Research of Software Reliability Designing and Modeling of Electronic Control Unit of Engine
... the reliability design of the engine control system software should also be based on the principle of modularity, according to the characteristics of the various ...accuracy data, the engine speed ... See full document
7
Disinformative data in large scale hydrological modelling
... disinformative data periods on model inference in a posterior ...corrupt design-flood ...hydrological data given multiple sources of epistemic data errors and their interac- tion with ... See full document
13
Reliability Analysis and Optimization Models for Large Scale Combinational Circuits
... circuit reliability can be improved at various design levels, this usually requires additional costs (such as more area and/or more power ...For large-scale circuits, the first step towards ... See full document
75
Topology Design of Large-Scale Optical Networks
... survivability design is to make the probability of data loss as low as possible upon the link or node ...survivability design is to find available backup path(s) to substitute (restore) the broken ... See full document
109
Speeding up Reliability Analysis for Large-scale Circuits
... less reliability than previous COMS devices due to their lower operating temperature and higher sensitivity to random ...circuit reliability behavior. Therefore, reliability issues have become ... See full document
92
A Proposal of Methodology for Designing Big Data Warehouses
... Big Data warehouses are a new class of databases that largely use unstructured and volatile data for analytical ...of data sources are those coming from the Web, such as social networks and ... See full document
26
Large scale data analytics on clouds
... the design and construction of core libraries such as PETSc, SCALAPACK (becoming PLASMA now [17]) and underlying technologies such as BLACS and ...MPI. Data intensive cloud applications require scalable ... See full document
5
A System Dynamics Based Simulation Model for Reliability Evaluation of Large Scale Information Systems
... a design make a step forward compared to the previous generation billing system of China Mobile Group Guangdong ...of reliability in billing system of NGBOSS, from the perspective of security, can be ... See full document
6
The design of a Delta Impact analysis model for data warehouses
... and data warehouse models to look where the changed source elements are used in the data ...the data warehouse, the more complex this work is. This will require a large amount of time and it ... See full document
147
Design and reliability analysis of large scale multi level sampling plan
... Figure 1 for the province in which the actual food production in the scatter diagram into a kind of total probability, figurer 2 for the province's grain output sample distribution probability samples in total income. By ... See full document
10
A SURVEY ON CURRENT SECURITY STRATEGIES IN DATA WAREHOUSES
... of data which should be subject oriented, integrated, non-volatile and time variant and is used by decision maker to analysis the data to take decision for the development of an organization ...historical ... See full document
5
Using Multidimensional Canonical Partitioning (MCP) as a Supply-Driven Approach for Data Warehouses Design
... characteristics of fields. Functional dependencies express constraints between fields [8, 19]. Therefore, a universal relation put together all the constituents C and all the dependencies D. Each constituent or component ... See full document
11
Detection of the Outliers for Large Scale Data
... remaining data set and each target ...of data is ...target data instances and Kth nearest neighbour is the only difference between standard and fast algorithm ... See full document
5
Large Scale Data Analytics on Clouds
... • Ability to use Cloud computing allows us to tap cheap commercial resources and several important data and programming advances. Nevertheless we also need to exploit traditional HPC environments. We discuss our ... See full document
45
Indexing and Querying Vague Spatial Data Warehouses
... the design of a vague SDW with real agricultural data, Section 5 reports the experimental evaluation of the VSB-index and Section 6 concludes the ... See full document
10
Effect Detection of Software Architecture Changes in xADL
... Abstract—Software architecture is the process of defining solution that meets all of the technical and operational requirements. It involves a set of related software elements and their relationships to be constructed ... See full document
5
Query Optimizer for the ETL Process in Data Warehouses
... extracting data from several sources, cleansing, transforming, integrating and loading into a data ...accesses large amount of data by executing several complex queries in source ...the ... See full document
5
Modeling and Querying Multidimensional Bitemporal Data Warehouses
... Abstract: Data warehouses have been considered to be the key aspect of success for any Decision Support System ...field. Data warehouses store historical data, and therefore could ... See full document
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