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A comparative study of mobile database transaction models | IEEE Conference Publication | IEEE Xplore

A comparative study of mobile database transaction models


Abstract:

As communication becomes more and more an integral part of our daily lives, so does our need to access more and more information. Mobility is currently one of the most im...Show More

Abstract:

As communication becomes more and more an integral part of our daily lives, so does our need to access more and more information. Mobility is currently one of the most important factors to consider in our aim to achieve ubiquitous computing, and with it rises the problem of how to manipulate data while maintaining consistency and integrity. This paper presents a comparative analysis of mobile database transaction models.
Date of Conference: 06-09 July 2015
Date Added to IEEE Xplore: 15 February 2016
ISBN Information:
Conference Location: Larnaca, Cyprus

I. Introduction

Pervasive computing is a term loosely used to describe the current state of computer technology in modern life [1]. Our reliance on computing mediums increases with the need for mobility, connectivity and data availability. We often find that the data we need located on multiple devices and in various locations, is inaccessible directly most of the time. Pervasive computing also encompasses the concepts of data, connectivity and their ubiquitous presence in an individual's daily life. As an example, in a single day, the average individual can go through a minimum of three different devices to perform various everyday tasks such as checking his/her email account on the desktop computer, calling a family member on the cellphone, listening to some music in the background on his/her personal laptop and syncing all appointments from his/her palm-pilot to his/her email client. Current tools, such as Google's plethora of desktop search tools, have reduced the divide by centralizing data management, but they do not address issues such as unrelated data repositories, data safeguard and integrity. In addition, the problem of intermittent connectivity through wireless enabled devices is also a major issue in mobility. As such, maintaining data integrity and consistency in such mobile environments is a challenge - given the diverse factors that influence connectivity, from geography to battery life. Current trends in mobile databases suggest the adoption, among other techniques, of the quorum approach in which multiple mobile hosts perform reads and writes based on the majority vote of hosts selected to the quorum [2]. Although the quorum algorithm has been extensively studied since its earlier days, adapting it to mobile devices with connectivity issues and providing a solid quality of service (QoS) for quorum members is still in its infancy. The adaptation of quorum consensus to mobile environments to insure a high level of service is one of the main challenges to tackle.

References

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