An Extensible Storage Manager for Mobile DBMS

International Journal of Engineering and Technology, 2012

In our previous work, we proposed an intelligent architecture for mobile system, intelligent processing, querying and accessing of huge data for mobile databases. In this paper, we proposed intelligent storage devices for handling huge data on mobile databases. This is a massive storage resolves the capacity requirements of huge data storage in the networks of enterprise and organizations. The complexity and cost of storage management needs intelligence to reduce the huge overheads, and intelligent storage becomes the ideal storage solutions. In this paper, we illustrated architecture for intelligent storage, scheduling policies and key factor of intelligent devices.

2004

Very Small DataBases (VSDB) is a methodology and a complete framework for database design and management in a complex environment where databases are distributed over different systems, from high-end servers to reduced-power portable devices. Within this framework the architecture of PoLiDBMS, a Portable Light Database Management System has been designed to be hosted on such portable devices, in order to efficiently manage the data stored in Flash EEPROM memory. A flexible and modular solution has been adopted with the aim of allowing the development of a system able to be customized in its features, depending on the needed functionality and the available processing power. The first prototype implementation provides all the elementary functionalities of a DBMS, supporting a reduced set of the SQL language that can be of interest in such a limited environment.

very large data bases, 2006

The ever-increasing requirement of high performance and huge capacity memories of emerging consumer electronics appliances, such as mobile phone, digital camera, MP3, PMP, PDA, etc., has led to the widespread adaptation of flash memory as main data storages, respectively. As a result, managing the data on flash memory has been gaining in significant to satisfy the requirement of mobile embedded applications. However, the read/write/erase behaviors of flash memory are radically different than that of magnetic disks which make traditional database technology irrelevant. In this paper, we introduce LGeDBMS, a scale-downed DBMS engine designed for flash memory and its application. Finally, we demonstrate a PIM(Personal Information Management) application on a mobile phone using LGeDBMS.

Information Processing and Management - IPM, 2008

2009

Advancement in mobile computing technologies has prompted strong needs for database systems that can be used in small devices such as sensors, cellular phones, PDAs, car navigators, and Ultra Mobile PCs (UMPCs). We term the database systems that are customizable for small computing devices as Ubiquitous Database Management Systems (UDBMSs). In this paper, we first review the requirements of the UDBMS. The requirements identified include lightweight DBMSs, selective convergence, flash-optimized storage systems, data synchronization, support of unstructured/semistructured data, complex database operations, selfmanagement, and security. Next, we review existing systems and research prototypes. We review the functionality of UDBMSs including the footprint size, support of standard SQL, transaction management, concurrency control, recovery, indexing, and access control. We then review the supportability of the requirements by those UDBMSs surveyed. We finally present research issues related to the UDBMS.

2007

This paper presents a solution for embedded database application architecture. Many mobile applications contain enormous data and intricate search which are easy to management if those data are preserved into one hard disk or the Disk Array. Therefore, organizing data structure according to device's capacity and system's priority is the way to improve system usability, availability. In order to enable handling enormous information, we propose a database application architecture, which provides reliable and configurable data storage services to embedded application system with the performance, scalability and reliability.

Journal of Intelligent Manufacturing, 2009

J2ME is the development platform for mobile devices with larger support and availability in the market right now. Due to the minimalist definition of this architecture it does not support API's for data persistence management, like object serialization, and the relational database access; neither to store data inside the mobile device nor to access a remote host. This paper presents J2MEMicroDB, an Open Source development that implements Object Serialization, local relational database engine and a remote database access protocol that allows the access to any JDBC database.

Distributed and Parallel …, 1999

An inherent limitation in mobile data access is due to the unreliable and low bandwidth wireless communication channel. Caching of useful database items from database server in local storage of mobile clients is effective in reducing data access latency and wireless bandwidth consumption. In the event of disconnection, cached data can also serve the purpose of partial query processing. In this paper, we present the implementation and evaluate a new caching mechanism for object-oriented database systems in a mobile environment called MODEC. MODEC possesses the capabilities of performing caching at multiple granularities and adapting to changes in data access pattern, providing improved performance through tolerating limited inconsistency to read-only transactions. This caching capabilities is supported via standard ODMG modeling constructs. The prototype of MODEC is implemented using ODE database. Empirical system performance results are obtained from experiments on the prototype with data from a real-life database. The results are validated against results obtained via detailed simulation studies on MODEC. Both sets of results are found to be consistent and are in favor of our MODEC mechanism in providing a feasible solution to the mobile data access problem under the constraints in a mobile environment.

2005

Analyzing characteristics of wireless medium and mobile hosts, provide typical performance related issues considered for mobile database design considerations to improve mobile database computing. In this paper we investigate issues that need to be addressed in mobile database development suitable for mobile computing environment and then provide high-level mobile database model. We are considering GSN based mobile network provided with data services to mobile clients accessing database server via small mobile phones, where limited bandwidth, instability of wireless environment and limited resourced mobile phones require light weight mobile database, keeping frequently access objects at mobile phone to improve performance and provides high data availability for disconnected operations. We also propose scheme along with simulation study which identify most frequently accessed objects to ensure high data availability for small memory mobile phones.

International Journal of Database Management Systems, 2012

The popularity of the Mobile Database is increasing day by day as people need information even on the move in the fast changing world. This database technology permits employees using mobile devices to connect to their corporate networks, hoard the needed data, work in the disconnected mode and reconnect to the network to synchronize with the corporate database. In this scenario, the data is being moved closer to the applications in order to improve the performance and autonomy. This leads to many interesting problems in mobile database research and Mobile Database has become a fertile land for many researchers. In this paper a survey is presented on data and Transaction management in Mobile Databases from the year 2000 onwards. The survey focuses on the complete study on the various types of Architectures used in Mobile databases and Mobile Transaction Models. It also addresses the data management issues namely Replication and Caching strategies and the transaction management functionalities such as Concurrency Control and Commit protocols, Synchronization, Query Processing, Recovery and Security. It also provides Research Directions in Mobile databases.