A Survey on Data and Transaction Management in Mobile Databases

Selvarani, D. Roselin

doi:10.5121/ijdms.2012.4501

Cited by 8 publications

(3 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Supporting mobile data services of mobile applications require a mobile accessible database solution [1,2], which is the union and integration of a central controlled distributed database and a disconnected database on mobile devices. Unlike conventional database systems, there are special features and needs for mobile databases, including mobility, location awareness, mobile transaction management, query process, data replication, data synchronization and caching.…”

Section: A Mobile Databasesmentioning

confidence: 99%

MCloudDB: A Mobile Cloud Database Service Framework

Lei

Sengupta

Pattanaik

et al. 2015

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering

View full text Add to dashboard Cite

The recent advance in mobile network technologies (3G/4G) provides an efficient mobile network infrastructure supporting mobile users to access large volumes of mobile data. Now, many mobile applications are developed based on mobile databases on devices and conventional databases. Due to the limitations of mobile devices, using mobile databases on mobile devices encounters certain scalability issues in mobile data accesses and storage. One alternative approach is to use cloud-based databases to support mobile users and applications on mobile devices. This also runs into the several challenges, such as mobility support, localization, energy consumption, and performance concerns. This paper presents a mobile enabled cloud database solution, called MCloudDB, to address the related issues and needs. MCloudDB provides a mobile enabled cloud database infrastructure with a framework, which can be used as a bridge to connect and integrate mobile applications with back-end cloud databases to support mobile cloud data management and access services. The paper presents the design of this framework and the related key solutions for essential features in mobile cloud databases, such as multi-tenancy, elasticity, seamless connectivity and disaster recovery. A simple application example and related experiment results are reported.

show abstract

Section: A Mobile Databasesmentioning

confidence: 99%

MCloudDB: A Mobile Cloud Database Service Framework

Lei

Sengupta

Pattanaik

et al. 2015

2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering

View full text Add to dashboard Cite

show abstract

“…Using checkpoint and message logging techniques, the mobile application may roll back to the last reliably stored state and resume execution with recovery assurances. Existing approaches operate under the assumption that MH disk storage is insecure and store checkpoint and log data at base stations [6][7][8][9]. The process for a mobile checkpoint may be coordinated or uncoordinated.…”

Section: Introductionmentioning

confidence: 99%

“…To maintain a consistent and recoverable global checkpoint, distributed applications need MHs to coordinate their local checkpoints. Because the MH can independently checkpoint its local state, uncoordinated protocols are preferred for mobile applications [7][8][9]. Recovery methods that are not coordinated are either nonlogging or logging [4,5].…”

Section: Introductionmentioning

confidence: 99%

Quantum Game Application to Recovery Problem in Mobile Database

2021

View full text Add to dashboard Cite

Mobile Computing (MC) is a relatively new concept in the world of distributed computing that is rapidly gaining traction. Due to the dynamic nature of mobility and the limited bandwidth available on wireless networks, this new computing environment for mobile devices presents significant challenges in terms of fault-tolerant system development. As a consequence, traditional fault-tolerance techniques are inherently inapplicable to these systems. External circumstances often expose mobile systems to failures in communication or data storage. In this article, a quantum game theory-based recovery model is proposed in the case of a mobile host’s failure. Several of the state-of-the-art recovery protocols are selected and analyzed in order to identify the most important variables influencing the recovery mechanism, such as the number of processes, the time needed to send messages, and the number of messages logged-in time. Quantum game theory is then adapted to select the optimal recovery method for the given environment variables using the proposed utility matrix of three players. Game theory is the study of mathematical models of situations in which intelligent rational decision-makers face conflicting interests (alternative recovery procedures). The purpose of this study is to present an adaptive algorithm based on quantum game theory for selecting the most efficient context-aware computing recovery procedure. The transition from a classical to a quantum domain is accomplished in the proposed model by treating strategies as a Hilbert space rather than a discrete set and then allowing for the existence of linear superpositions between classical strategies; this naturally increases the number of possible strategic choices available to each player from a numerable to a continuous set. Numerical data are provided to demonstrate feasibility.

show abstract