Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud: K-out-of-n Computing Approach

Problem Definition

Problem Description: Despite advancements in technology, resource-intensive applications still face challenges in terms of computation and storage capabilities on mobile devices. Previous solutions, such as using remote servers like clouds or peer mobile devices, have not effectively addressed issues of reliability and energy efficiency. The problem of efficiently storing and processing data on mobile devices in a fault-tolerant manner remains unresolved. This is a critical issue as mobile devices have limited resources and need to operate efficiently to conserve energy. Addressing this problem requires developing a solution that enables mobile devices to retrieve data in the most energy-efficient way, while ensuring reliability and fault tolerance.

This solution should leverage advancements in mobile cloud computing and propose innovative approaches like K-out-of-n computing to optimize energy consumption and improve overall performance. The proposed project on "Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud" aims to tackle these challenges and demonstrate the feasibility of this approach through a real system implementation. By addressing these issues, this project has the potential to significantly enhance the performance and efficiency of resource-intensive applications on mobile devices.

Proposed Work

The project titled "Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud" aims to address the drawback of resource-intensive applications requiring large computation and storage capabilities on mobile devices. Previous research has focused on utilizing remote servers such as clouds and peer mobile devices, but reliability and energy efficiency remained unresolved issues. This project proposes a novel approach called K-out-of-n computing, which combines data storage and processing in the mobile cloud to efficiently retrieve data on mobile devices. Through real system implementation, the feasibility of this approach is demonstrated, showing promising results for enhancing energy efficiency and reliability in mobile-based applications. This research falls under the categories of Android Based Mobile Apps and Wireless Research Based Projects, with subcategories including Energy Efficiency Enhancement Protocols and WSN Based Projects.

The software used for this project includes Android and various wireless research tools.

Application Area for Industry

This project on "Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud" can be applied in a variety of industrial sectors that rely on resource-intensive applications on mobile devices. Industries such as healthcare, finance, manufacturing, and logistics often face challenges in terms of computation and storage capabilities on mobile devices. By implementing the proposed solutions of leveraging mobile cloud computing and K-out-of-n computing for data retrieval, these industries can benefit from improved energy efficiency and reliability. Specific challenges that industries face, such as limited resources on mobile devices and the need to conserve energy, can be addressed by the innovative approaches proposed in this project. By optimizing energy consumption and improving overall performance through fault-tolerant data storage and processing, industries can enhance the performance of resource-intensive applications.

Overall, the implementation of this project has the potential to significantly improve the efficiency and reliability of mobile-based applications in various industrial domains, leading to better operational outcomes and cost savings.

Application Area for Academics

The proposed project on "Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud" holds immense potential for MTech and PHD students conducting research in the fields of Android-based mobile apps and wireless research projects. This project addresses the critical issue of efficiently storing and processing data on resource-constrained mobile devices, focusing on enhancing energy efficiency and reliability through a novel approach called K-out-of-n computing. By developing a real system implementation, researchers can explore innovative methods for optimizing energy consumption and improving overall performance in mobile-based applications. MTech students and PHD scholars can utilize the code and literature from this project for their dissertation, thesis, or research papers, gaining insights into advanced techniques in mobile cloud computing and energy-efficient data processing. The future scope of this research includes the potential for further advancements in energy efficiency protocols and wireless sensor network projects, offering new avenues for exploration and innovation in the field.

Keywords

Mobile Cloud Computing, Energy Efficiency, Fault Tolerance, Data Storage, Data Processing, Resource-Intensive Applications, Real System Implementation, K-out-of-n Computing, Mobile Devices, Computation, Storage Capabilities, Energy Consumption, Mobile-Based Applications, Android Based Mobile Apps, Wireless Research Based Projects, Energy Efficiency Enhancement Protocols, WSN Based Projects, Android, Wireless Research Tools.