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

Problem Definition

Problem Description: The increasing demand for resource-intensive applications on mobile devices poses a challenge in terms of computation and storage capabilities. Although various solutions such as remote servers like clouds or peer mobile devices have been explored, issues regarding reliability and energy efficiency still persist. The current problem lies in finding a way to efficiently store and process data in mobile cloud environments. Traditional methods have not been able to provide a solution that is both reliable and energy-efficient. Therefore, there is a need to address the challenge of energy-efficient fault-tolerant data storage and processing in mobile cloud environments.

By implementing the K-out-of-n computing approach, we aim to improve the energy efficiency of data retrieval on mobile devices while ensuring reliability. Through a real system implementation, we will demonstrate the feasibility of this approach in addressing the current limitations in mobile cloud environments.

Proposed Work

The proposed work titled "Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud" addresses the challenges faced by resource-intensive applications on mobile devices due to limited computation and storage capabilities. Previous research has explored solutions such as using remote servers and peer mobile devices, but issues related to reliability and energy efficiency remain unresolved. To tackle this problem, the approach of K-out-of-n computing is introduced, which focuses on both data storage and processing in the mobile cloud environment. Through a real system implementation, the proposed approach demonstrates successful data retrieval in the most energy-efficient manner. This research contributes to advancing the field of mobile cloud computing by improving reliability and energy efficiency in data storage and processing operations. Modules Used: K-out-of-n computing Categories: Mobile Cloud Computing, Data Storage, Data Processing Sub Categories: Energy Efficiency, Fault Tolerance Software Used: Not specified

Application Area for Industry

The project on "Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud" can be of immense use in various industrial sectors such as healthcare, finance, telecommunications, and logistics. In the healthcare sector, for example, where real-time data processing and storage are crucial for patient monitoring and diagnosis, the proposed solutions can help in ensuring reliability and energy efficiency in handling sensitive medical data on mobile devices. Similarly, in the finance industry, where large volumes of data need to be processed securely and efficiently, the implementation of the K-out-of-n computing approach can improve data retrieval while reducing energy consumption. Moreover, in the telecommunications and logistics sectors, where communication networks and data processing play a vital role in operations, the project's proposed solutions can address challenges related to reliability and energy efficiency in mobile cloud environments. By focusing on energy efficiency and fault tolerance, the project can bring benefits such as cost savings, improved performance, and enhanced security to these industrial domains.

Overall, the project's emphasis on enhancing energy efficiency and fault tolerance in mobile data storage and processing can significantly impact various industries by offering reliable and efficient solutions to cope with the increasing demand for resource-intensive applications on mobile devices efficiently.

Application Area for Academics

The proposed project on "Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud" offers a significant contribution to the research domain and can be a valuable resource for MTech and PHD students looking to pursue innovative methods in mobile cloud computing. This project addresses the critical issue of limited computation and storage capabilities on mobile devices, by introducing the K-out-of-n computing approach for data storage and processing in mobile cloud environments. This research is especially relevant for researchers in the field of Mobile Cloud Computing, Data Storage, and Data Processing, with a focus on Energy Efficiency and Fault Tolerance. MTech students and PHD scholars can utilize the code and literature of this project for their research papers, dissertations, and thesis work, enabling them to explore new methods, simulations, and data analysis techniques. By implementing this proposed approach, students can advance their research in mobile cloud computing and contribute to the development of efficient and reliable solutions for resource-intensive applications on mobile devices.

The future scope of this project includes expanding the research to explore more advanced technologies and protocols for further enhancing energy efficiency and fault tolerance in mobile cloud environments. (Reference: Android | Mobile Based Apps, Wireless Research Based Projects, Android Based Mobile Apps, Energy Efficiency Enhancement Protocols, WSN Based Projects)

Keywords

Mobile Cloud Computing, Data Storage, Data Processing, Energy Efficiency, Fault Tolerance, K-out-of-n computing, Remote Servers, Peer Mobile Devices, Computation, Storage Capabilities, Reliability, Energy Efficient, Data Retrieval, System Implementation, Resource-Intensive Applications, Mobile Devices, Real System Implementation, Mobile Cloud Environments, Data Processing Operations, Wireless, Microcontroller, 8051, 8052, AT89c51, MCS-51, KEIL, Localization, Networking, Routing, WSN, MANET, WiMAX, LEACH, SEP, HEED, PEGASIS, Protocols, Android