The current storage models for Object-Oriented DataBase (OODB), which organize data as objects according to the Object-Oriented Data Model (OODM), are mainly established on the block storage devices. In this way, the storage manager does not have detailed knowledge of the characteristics of the underlying storage devices, and the storage subsystem does not have the semantic knowledge of the dat...

Distributed storage systems (DSSs) provide a scalable solution for reliably storing massive amounts of data coming from various sources. Heterogeneity of these data sources often means different data classes (types) exist in a DSS, each needing a different level of quality of service (QoS). As a result, efficient data storage and retrieval processes that satisfy various QoS requirements are nee...

What modes and domains of knowledge about data production processes are most critical for producing high-quality data? This study provides an answer to this question. Data are collected via questionnaire and analyzed using linear regression. The results show some similarities and differences in which knowledge variables are significant for various data quality dimensions. Three results are of p...

Holographic data storage allows the simultaneous search of an entire database by performing multiple optical correlations between stored data pages and a search argument [1,2]. We have recently developed fuzzy encoding techniques for this fast parallel search and demonstrated a holographic data storage system that searches digital data records with high fidelity [2]. This content–addressable re...

This demonstration presents Cloudy, a modular cloud storage system. Cloudy provides a highly flexible architecture for distributed data storage and is designed to operate with multiple workloads. Based on a generic data model, Cloudy can be customized to meet application requirements. The goal of this demonstration is to show the ability of Cloudy to efficiently process different query language...

Data Deduplication is an important technique which provides better result to store more information with less space. Cost and maintenance of Information backup storage system for major enterprises can be minimized by storing it on Cloud Storage. Data redundancy between different kinds of data storage gets minimal by utilizing data deduplication method. By giving each application differently and...

Plummeting data storage costs mean that businesses can now hold more data than ever before. However, increased volume and detail of data necessitates effective and efficient analytical tools. Knowledge Discovery in Databases (KDD) is a field of research that studies the development and use of various data analysis tools and techniques. Data mining is one such tool. KDD research has produced an ...