Data Storage Management Research Articles

The Study on Cloud Storage Data Management Method Based on Minimum Access Cost for Internet of Things

According to the characteristics of data access in Internet of things, we put forward a replicate distribution method of minimum cost which considers the number and type of replicate in cloud storage. By this method, the replicates will be distributed to storage servers with minimum total cost from several data service points. This method is fundamental research of low cost distribution for replicates in cloud storage based on data access load.

A Comparative Study of the Secret Sharing Algorithms for Secure Data in the Cloud

With advances in the field of cloud computing many computing rsources and/or services are being provided to the end user on a pay -as-you-use basis. Data outsourcing is a new paradigm in which a third party provides storage services. This is more cost e ffective for the user as there is no need of purchasing expensive hardware and software for data storage. The user is also relieved from administrative activities of software upgrades and maintenance.Before data out sourcing can become viable, the data pr ovider needs to guarantee that the datais secure, be able to execute queries on the data, and the results of the queries must also be secure and not visible to the data provider. Data encryption, Homomorphic Encryption, Secret Sharing algorithms and Private Information R etrieval (PIR) are the techniques widely used for secure data outsourcing. CIA (Confidentiality, Integrity and Availability) are the challenging issues associated with data storage management with/without data outsourcing. In this paper the performance of two secret sharing algo rithms are compared. The Shamir’s secret sharing algorithm and Rabin’s Information Dispersal Algorithm (IDA) are implemented in a private cloud setup using the OpenStack Cloud framework.

DISTRIBUTED AND BIG DATA STORAGE MANAGEMENT IN GRID COMPUTING

Big data storage management is one of the most challenging issues for Grid computing environments, since large amount of data intensive applications frequently involve a high degree of data access locality. Grid applications typically deal with large amounts of data. In traditional approaches high-performance computing consists dedicated servers that are used to data storage and data replication. In this paper we present a new mechanism for distributed and big data storage and resource discovery services. Here we proposed an architecture named Dynamic and Scalable Storage Management (DSSM) architecture in grid environments. This allows in grid computing not only sharing the computational cycles, but also share the storage space. The storage can be transparently accessed from any grid machine, allowing easy data sharing among grid users and applications. The concept of virtual ids that, allows the creation of virtual spaces has been introduced and used. The DSSM divides all Grid Oriented Storage devices (nodes) into multiple geographically distributed domains and to facilitate the locality and simplify the intra-domain storage management. Grid service based storage resources are adopted to stack simple modular service piece by piece as demand grows. To this end, we propose four axes that define: DSSM architecture and algorithms description, Storage resources and resource discovery into Grid service, Evaluate purpose prototype system, dynamically, scalability, and bandwidth, and Discuss results. Algorithms at bottom and upper level for standardization dynamic and scalable storage management, along with higher bandwidths have been designed.

Distributed and Big Data Storage Management in Grid Computing

Big data storage management is one of the most challenging issues for Grid computing environments, since large amount of data intensive applications frequently involve a high degree of data access locality. Grid applications typically deal with large amounts of data. In traditional approaches high-performance computing consists dedicated servers that are used to data storage and data replication. In this paper we present a new mechanism for distributed and big data storage and resource discovery services. Here we proposed an architecture named Dynamic and Scalable Storage Management (DSSM) architecture in grid environments. This allows in grid computing not only sharing the computational cycles, but also share the storage space. The storage can be transparently accessed from any grid machine, allowing easy data sharing among grid users and applications. The concept of virtual ids that, allows the creation of virtual spaces has been introduced and used. The DSSM divides all Grid Oriented Storage devices (nodes) into multiple geographically distributed domains and to facilitate the locality and simplify the intra-domain storage management. Grid service based storage resources are adopted to stack simple modular service piece by piece as demand grows. To this end, we propose four axes that define: DSSM architecture and algorithms description, Storage resources and resource discovery into Grid service, Evaluate purpose prototype system, dynamically, scalability, and bandwidth, and Discuss results. Algorithms at bottom and upper level for standardization dynamic and scalable storage management, along with higher bandwidths have been designed.

Prolog to the Section on Mass Storage and Data Retrieval

The centenary of the Proceedings of the IEEE is celebrated with achievements in data storage and data retrieval research, development, and application. Masaru Kitsuregawa and his colleagues at The University of Tokyo, Tokyo, Japan, are studying data storage and data management for more than three decades, working in parallel database management systems, web-scale applications, and intelligent massive data storage systems. They present a brief history of data storage technology from the precomputer era to the latest trends in this area. They also report their firsthand experiences in archiving the World Wide Web for more than ten years. Mark Sanderson and Bruce Croft give an expert view on the chronicled development in information retrieval.

Enhancing Organizational Performance through a NewProactive Multilayer Data Mining Methodology: AnEcommerce Case Study

Recent technical achievements in data storage and database management systems have opened windows of opportunities for developing novel optimizing strategies for all kinds of organizations. This paper introduces a new proactive methodology to enhance organizational performance based on data mining approach. Data mining is a business process for exploring large amounts of data to discover meaningful patterns and rules. The proposed methodology focuses on ebusiness activities and using a multilayer data mining approach, provides high level of business intelligence for enterprises that utilize ecommerce as their main transactional model. The paper introduces a conversion model as a part of the methodology to serve as a template for wide range of ebusiness models. This conversion model is used to create distinct layers of data mining structures that are required by the methodology. These mining structures will act as the platform for applying the multilayer data mining models.

Grid Computing Based Middleware for Labor and Social Security Data Storage Resources Discovery

Labor and social security social insurance and employment related to large groups of services. The labor security department of information technology often combined with computational grid computing systems. This paper presents a new kind of data grid middleware for data storage resources discovery and dynamic management in labor and social security resources environment. The architecture of grid storage resources discovery and dynamic management is presented for discovering data storage resources from the different computer organizational structure. The middleware can realize the necessary functions for the ultra large-scale application in data grid environment. It could be applied to the ultra large-scale data storage management in grid computing in next generation labor and social security resources environment.

BIOMETRIC CARDS FOR THE INDIAN POPULATION

Mathematical models could be helpful in assisting the Indian government's new initiative of issuing biometric cards to its citizens. This note examines the role of mathematical models in estimating the missing, non-enumerated population numbers, and in estimating the number of cards required by age, gender and regions annually in India. The link between the National Population Register and biometric cards is also highlighted. There are other scientific issues, such as electronic security, data storage management and identity verification, which we do not model in this paper, though we address the role they play in successful implementation.

Application Virtualization for Teaching Hospitals in Nigeria

Information technology has improved operations management globally. The health sector has benefited from this revolution through the introduction of eHealth solutions. The cost-effective utilization of Information Technology and flexibility in adapting and adopting organizational changes has posed some challenges to health institutions in developing countries. In the case of Nigeria, the implementation of the National Health Policy entails the delivery of a full-packaged health care system; this package includes health education, maternal, newborn and child healthcare, nutrition and immunization. All these, require record keeping and data storage. The management of massive data storage and its availability on-demand has been sources of concern to health institutions in the country. This has brought about a slow rate in hospital-tohospital collaboration, insecure information exchange between and across institutions and lack of proper accountability in the health sector amongst other challenges. In this paper we propose a Cloud computing infrastructure which will adopt application virtualization to address the challenges in health care delivery in the country. This is an emerging technology that will provide eHealth solutions as services to tenants; a process known as Software-as-a- Service (SaaS). The infrastructure should deliver a single application through the browser to thousands of clients or stakeholders using scalable multitenant architecture. This will help to minimize cost, manage healthcare resources effectively, and help with the realization of the Millennium Development Goals (MDGs) on healthcare.

Brazilian External Occupational Dose Management System

Brazil, a large country, with more than 120,000 workers under individual monitoring for ionising radiation, developed, more than 20 y ago, a centralised data bank for external occupational dose. This old database, however, presented some problems and does not satisfy any more Brazilian present needs, not allowing dose analysis reports, for example. Therefore, a new system that reduces manual tasks, provides system communication support, manages reports and improves data storage management is being developed. This paper describes this new web-based information system, named Brazilian External Occupational Dose Management database system--GDOSE.

A mixed transaction processing and operational reporting benchmark

The importance of reporting is ever increasing in today's fast-paced market environments and the availability of up-to-date information for reporting has become indispensable. Current reporting systems are separated from the online transaction processing systems (OLTP) with periodic updates pushed in. A pre-defined and aggregated subset of the OLTP data, however, does not provide the flexibility, detail, and timeliness needed for today's operational reporting. As technology advances, this separation has to be re-evaluated and means to study and evaluate new trends in data storage management have to be provided. This article proposes a benchmark for combined OLTP and operational reporting, providing means to evaluate the performance of enterprise data management systems for mixed workloads of OLTP and operational reporting queries. Such systems offer up-to-date information and the flexibility of the entire data set for reporting. We describe how the benchmark provokes the conflicts that are the reason for separating the two workloads on different systems. In this article, we introduce the concepts, logical data schema, transactions and queries of the benchmark, which are entirely based on the original data sets and real workloads of existing, globally operating enterprises.

Using RFID to Enhance Security in Off-Site Data Storage

Off-site data storage is one of the most widely used strategies in enterprises of all sizes to improve business continuity. In medium-to-large size enterprises, the off-site data storage processes are usually outsourced to specialized providers. However, outsourcing the storage of critical business information assets raises serious security considerations, some of which are usually either disregarded or incorrectly addressed by service providers. This article reviews these security considerations and presents a radio frequency identification (RFID)-based, off-site, data storage management system specifically designed to address security issues. The system relies on a set of security mechanisms or controls that are arranged in security layers or tiers to balance security requirements with usability and costs. The system has been successfully implemented, deployed and put into production. In addition, an experimental comparison with classical bar-code-based systems is provided, demonstrating the system’s benefits in terms of efficiency and failure prevention.

Research on Data Storage Structure and Management Model in Hierarchical Storage

As hierarchical storage is one of the highlights in researching and realizing of mass data storage, this paper mainly describes a study on data storage structure, evaluation of data importance and data management model of hierarchical storage.

A Software Framework for the Analysis of Complex Microscopy Image Data

Technological advances in both hardware and software have made possible the realization of sophisticated biological imaging experiments using the optical microscope. As a result, modern microscopy experiments are capable of producing complex image datasets. For a given data analysis task, the images in a set are arranged, based on the requirements of the task, by attributes such as the time and focus levels at which they were acquired. Importantly, different tasks performed over the course of an analysis are often facilitated by the use of different arrangements of the images. We present a software framework that supports the use of different logical image arrangements to analyze a physical set of images. This framework, called the Microscopy Image Analysis Tool (MIATool), realizes the logical arrangements using arrays of pointers to the images, thereby removing the need to replicate and manipulate the actual images in their storage medium. In order that they may be tailored to the specific requirements of disparate analysis tasks, these logical arrangements may differ in size and dimensionality, with no restrictions placed on the number of dimensions and the meaning of each dimension. MIATool additionally supports processing flexibility, extensible image processing capabilities, and data storage management.

Development of a Kidney TeleUltrasound Consultation System

This paper presents the development of kidney TeleUltrasound consultation system. The TeleUltrasound system provides an innovative design that aids the acquisition, archiving, and dissemination of medical data and information over the internet as its backbone. The system provides data sharing to allow remote collaboration, viewing, consultation, and diagnosis of medical data. The design is layered upon a standard known as Digital Imaging and Communication in Medicine (DICOM). The DICOM standard defines protocols for exchanging medical images and their associated data. The TeleUltrasound system is an integrated solution for retrieving, processing, and archiving images and providing data storage management using Structured Query Language (SQL) database. Creating a web-based interface is an additional advantage to achieve global accessibility of experts that will widely open the opportunity of greater examination and multiple consultations. This system is equipped with a high level of data security and its performance has been tested with white, black, and gray box techniques. And the result was satisfactory. The overall system has been evaluated by several radiologists in Malaysia, United Arab Emirates, and Sudan, the result is shown within this paper.

The MAST data acquisition upgrade

A programme has begun on MAST to replace its ageing CAMAC and VME based data acquisition systems with new modern hardware which, together with several improvements in the supporting infrastructure, will provide support for faster data acquisition rates, longer-pulse operation, faster data access and higher reliability. The main principle of the upgrade was to use commercial off-the-shelf (COTS) hardware and well-established standards wherever possible. CompactPCI or PXI was chosen as the digitiser form factor to replace CAMAC/VME, and Ethernet would be used as the means to access all devices. The modular architecture of the MAST data acquisition software framework has helped to minimise the integration effort required to phase in new subsystems and/or new technologies whilst continuing to use the old hardware in other systems. The software framework was updated to allow more versatile use of the network-attached data acquisition devices. The new data acquisition devices had multiple connector types, which created difficulties with the cable interfacing. To resolve this and provide support for easy substitution, a standard connector interface was chosen, based on the most common connector type and pin-out already in use, and several cable assemblies were produced to connect the proprietary interface of the digitiser to the standard interface block. The in-house IDA-3 data storage format is unable to accommodate the larger file sizes and is increasingly difficult to maintain, so it is to be gradually phased out. The NetCDF-4/HDF5 data standard is being adopted as its replacement, thus reducing in-house maintenance whilst providing a data format that is more accessible to the Fusion community. Several other infrastructure upgrades were necessitated by the anticipated increase in data traffic and volume including the Central Timing System, the MAST Ethernet infrastructure and servers for front-end data processing, data storage and data access management. These improvements have provided higher reliability, faster data retrieval, greater longevity and capacity to extend the MAST pulse length to accommodate the future programme requirements.

Safebook: A privacy-preserving online social network leveraging on real-life trust

Online social network applications severely suffer from various security and privacy exposures. This article suggests a new approach to tackle these security and privacy problems with a special emphasis on the privacy of users with respect to the application provider in addition to defense against intruders or malicious users. In order to ensure users' privacy in the face of potential privacy violations by the provider, the suggested approach adopts a decentralized architecture relying on cooperation among a number of independent parties that are also the users of the online social network application. The second strong point of the suggested approach is to capitalize on the trust relationships that are part of social networks in real life in order to cope with the problem of building trusted and privacy- preserving mechanisms as part of the online application. The combination of these design principles is Safebook, a decentralized and privacy- preserving online social network application. Based on the two design principles, decentralization and exploiting real-life trust, various mechanisms for privacy and security are integrated into Safebook in order to provide data storage and data management functions that preserve users' privacy, data integrity, and availability. Preliminary evaluations of Safebook show that a realistic compromise between privacy and performance is feasible.

Augmented AVI video file for road surveying

This paper presents a novel video augmentation approach: a video recording of a real entity augmented by structured data. This augmented video is a self-contained entity integrating values of perceptible and non-perceptible attributes of the same real entity. It simplifies data search, storage and management. Streaming, sharing, collaboration and synchronization are also simplified by the fact that the structured data (so-called augmented data) are integrated in the video file and therefore only one file needs to be manipulated. Our approach was applied to address the issues which road engineers experience while using the ROad Measurement and Data Acquisition System (ROMDAS). The ROMDAS system collects and analyses the road-condition state through video recordings and the data corresponding acquired by specific measuring devices. Currently, however, road engineers have to search the videos manually in order to find details of interest provided by the analysis of the data measured due to the separation of the video from the data. The ROMDAS system manages a large collection of road-condition data. It does not offer history management of video recordings of the same road captured at different time. We present this hybrid video augmentation system: the Augmented Video stream Framework (AVF). It allows creation, search, history management and playback of such augmented video files for effective road surveying based on the discrete data recorded in parallel to the video recordings. The AVF provides road engineers with effective and more comfortable perceptible and non-perceptible data search, storage and history management to be used for (collaborative) road inspection and maintenance.

Evolution of photography in maxillofacial surgery: from analog to 3D photography – an overview

In maxillofacial surgery, digital photographic documentation plays a crucial role in clinical routine. This paper gives an overview of the evolution from analog to digital in photography and highlights the integration of digital photography into daily medical routine. The digital workflow is described and we show that image quality is improved by systematic use of photographic equipment and post-processing of digital photographs. One of the advantages of digital photography is the possibility of immediate reappraisal of the photographs for alignment, brightness, positioning, and other photographic settings, which aids in avoiding errors and allows the instant repetition of photographs if necessary. Options for avoiding common mistakes in clinical photography are also described and recommendations made for post-processing of pictures, data storage, and data management systems. The new field of 3D digital photography is described in the context of cranial measurements.

An Integrated Photogrammetric and Spatial Database Management System for Producing Fully Structured Data Using Aerial and Remote Sensing Images

3D spatial data acquired from aerial and remote sensing images by photogrammetric techniques is one of the most accurate and economic data sources for GIS, map production, and spatial data updating. However, there are still many problems concerning storage, structuring and appropriate management of spatial data obtained using these techniques. According to the capabilities of spatial database management systems (SDBMSs); direct integration of photogrammetric and spatial database management systems can save time and cost of producing and updating digital maps. This integration is accomplished by replacing digital maps with a single spatial database. Applying spatial databases overcomes the problem of managing spatial and attributes data in a coupled approach. This management approach is one of the main problems in GISs for using map products of photogrammetric workstations. Also by the means of these integrated systems, providing structured spatial data, based on OGC (Open GIS Consortium) standards and topological relations between different feature classes, is possible at the time of feature digitizing process. In this paper, the integration of photogrammetric systems and SDBMSs is evaluated. Then, different levels of integration are described. Finally design, implementation and test of a software package called Integrated Photogrammetric and Oracle Spatial Systems (IPOSS) is presented.