scholarly journals A Design and Implementation for a Reliable Data Storage in a Digital Tachograph

2012 ◽  
Vol 1 (2) ◽  
pp. 71-78 ◽  
Author(s):  
Sung Hoon Baek ◽  
Myunghee Son
Keyword(s):  
Data Storage ◽  
Reliable Data ◽  
Design And Implementation

scholarly journals Reliable data storage system design and implementation for acoustic logging while drilling

2016 ◽  
Vol 13 (6) ◽  
pp. 1010-1019
Author(s):  
Xiaolong Hao ◽  
Xiaodong Ju ◽  
Xiling Wu ◽  
Junqiang Lu ◽  
Baiyong Men ◽  
...  
Keyword(s):  
System Design ◽  
Data Storage ◽  
Storage System ◽  
Reliable Data ◽  
Acoustic Logging ◽  
Design And Implementation ◽  
Data Storage System ◽  
Logging While Drilling

Design and Implementation of Automobile Industry Cluster Information Service System Based on GIS

2014 ◽  
Vol 687-691 ◽  
pp. 1872-1875
Author(s):  
Ying Ying Weng
Keyword(s):  
Data Storage ◽  
Automobile Industry ◽  
Information Service ◽  
Analysis Data ◽  
Industry Cluster ◽  
Demonstration Analysis ◽  
Design And Implementation ◽  
Data Base Design ◽  
Design Function ◽  
Space Data

According to the automobile industry cluster situation at present, the paper introduces the method and train of thought of automobile industry cluster based on GIS from demand analysis, data base design, function design and so on. Also demonstration analysis in one automobile industry cluster. In construction, use client layer, web layer, business logic layer and data layer to design the system architecture. It improved the system maintenance performance, used Oracle and ArcSDE to access space data and attribute data, and mass data storage management. Research results maybe give some significance reference for design and implementation of automobile industry cluster.

Managing Granularity in Design and Implementation of Geospatial Web Services

2011 ◽  
pp. 18-35 ◽  
Author(s):  
Elias Z. K. Ioup ◽  
John T. Sample
Keyword(s):  
Web Services ◽  
Data Storage ◽  
User Needs ◽  
Design Decisions ◽  
Design And Implementation ◽  
Performance Requirements ◽  
And Performance ◽  
Geospatial Services ◽  
Geospatial Web Services

Granularity is often ignored when designing geospatial Web services. Choices relating to granularity affect service interfaces, data storage and organization, and XML format design. This chapter highlights the importance of analyzing usage and performance requirements when deciding on granularity choices in the design of geospatial Web services. Often, instead of making design decisions based on these requirements, geospatial services are implemented using default, commonly used techniques which may reduce performance, increase complexity, or fail to fully meet user needs. This chapter discusses the importance of granularity in designing and implementing geospatial Web services and provides common examples that highlight the different approaches to granularity which are available.

Evaluation of Reliable Data Storage in Cloud Using an Efficient Encryption Technique

2021 ◽  
pp. 758-772
Author(s):  
Saswati Sarkar ◽  
Anirban Kundu ◽  
Ayan Banerjee
Keyword(s):  
Power Consumption ◽  
Data Storage ◽  
Time Complexity ◽  
Storage Time ◽  
Reliable Data ◽  
Time Analysis ◽  
Physical Size ◽  
Time Consumption ◽  
Current Consumption ◽  
Storage Technique

Cloud-based reliable and protected data storage technique is proposed in this chapter. The proposed technique encrypts and protects data with less time consumption. Power consumption of storage is dependent upon capacity of storage and physical size of storage. Time analysis is presented graphically in this chapter. Reliable data storage is represented in cloud based proposed approach. Data is encrypted with minimum time complexity due to usage of proposed cloud-based reliable data storage. The competent ratio of time complexity is graphically observed in proposed data storage technique. Power consumption of storage has been typically dependent on the basis of capacity of storage and amount of storage. A ratio of power consumption and capacity of storage is presented in cloud-based approach. An efficient usage of energy is shown depending on current consumption and voltage in proposed reliable approach.

Design and Implementation of Embedded Database Based on File System – The Design and Implementation of EDB

2014 ◽  
Vol 686 ◽  
pp. 316-320
Author(s):  
Ye Zhao ◽  
Guo Ying Lu ◽  
Li Ying Wang
Keyword(s):  
Data Storage ◽  
Data Access ◽  
Interface Layer ◽  
Database System ◽  
Limited Resources ◽  
Design And Implementation ◽  
Operating Level ◽  
Actual Use ◽  
Data Definition ◽  
Database Engine

The architecture of the system is divided into some modules according to the operating level: interface layer, the database engine layer, and data access layer, database maintenance module and data storage module. This paper discusses in detail the data definition design and the important function of EDB and realizes the EDB management implementation details. The paper introduce in details the EDB system architecture, the design of physical storage structure and basic table structure. Through the actual use, the database system is suitable for embedded systems with limited resources, has good portability.

Reliability Model of Fault-Tolerant Dual-Disk Redundant Array

2016 ◽  
Vol 685 ◽  
pp. 805-810 ◽  
Author(s):  
P.A. Rahman ◽  
E.A. Muraveva ◽  
M.I. Sharipov
Keyword(s):  
Data Storage ◽  
Hardware Implementation ◽  
Fault Tolerant ◽  
Storage Systems ◽  
Reliable Data ◽  
Reliability Model ◽  
Data Loss ◽  
Reliability Parameters ◽  
Mean Time ◽  
Disk Failure

This paper deals with data storage systems based on fault-tolerant dual-disk RAID-1, which are widely used as high-reliable data storage systems and have acceptable overhead expenses in hardware implementation. Advanced reliability model of dual-disk RAID-1 array based on Markov chains, which takes into consideration finite time of disk replacement after disk failure, different disk failure rate in array’s normal and rebuild states, and probability of read errors during array rebuild procedure, are also overviewed in this paper. Mathematical solution of reliability model, calculation formula for mean time to data loss, estimation of disk and array reliability parameters and MTTDL calculation example are also provided.

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