Energy efficient fault-tolerant data storage and processing in mobile cloud
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The document discusses the challenges of energy-efficient and fault-tolerant data storage and processing in mobile cloud environments, highlighting the limitations of mobile devices in executing resource-intensive applications. It proposes a k-out-of-n computing framework that addresses these issues by allowing mobile devices to retrieve or process data reliably as long as a certain number of servers are accessible. The feasibility of the proposed solution is validated through real system implementation and extensive simulations, demonstrating improved energy efficiency in dynamic networks.
Energy efficient fault-tolerant data storage and processing in mobile cloud
- 1. Do Your Projects With Domain Experts… Copyright © 2015 LeMeniz Infotech. All rights reserved Page number 1 LeMeniz Infotech 36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue, Pondicherry-605 005. Call: 0413-4205444, +91 9566355386, 99625 88976. Web : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud Abstract: Despite the advances in hardware for hand-held mobile devices, resource-intensive applications (e.g., video and image storage and processing or map-reduce type) still remain off bounds since they require large computation and storage capabilities. Recent research has attempted to address these issues by employing remote servers, such as clouds and peer mobile devices. For mobile devices deployed in dynamic networks (i.e., with frequent topology changes because of node failure/unavailability and mobility as in a mobile cloud), however, challenges of reliability and energy efficiency remain largely unaddressed. To the best of our knowledge, we are the first to address these challenges in an integrated manner for both data storage and processing in mobile cloud, an approach we call k-out-of-n computing. In our solution, mobile devices successfully retrieve or process data, in the most energy-efficient way, as long as k out of n remote servers are accessible. Through a real system implementation we prove the feasibility of our approach. Extensive simulations demonstrate the fault tolerance and
- 2. Do Your Projects With Domain Experts… Copyright © 2015 LeMeniz Infotech. All rights reserved Page number 2 LeMeniz Infotech 36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue, Pondicherry-605 005. Call: 0413-4205444, +91 9566355386, 99625 88976. Web : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com energy efficiency performance of our framework in larger scale networks. Introduction: PERSONAL mobile devices have gained enormous popularity in recent years. Due to their limited resources (e.g., computation, memory, energy), however, executing sophisticated applications (e.g., video and image storage and processing, or map-reduce type) on mobile devices remains challenging. As a result, many applications rely on offloading all or part of their works to “remote servers” such as clouds and peer mobile devices. For instance, applications such as Google Goggle and Siri process the locally collected data on clouds. Going beyond the traditional cloud-based scheme, recent research has proposed to offload processes on mobile devices by migrating a Virtual Machine (VM) overlay to nearby infrastructures. This strategy essentially allows offloading any process or application, but it requires a complicated VM mechanism and a stable network connection. Some systems even leverage peer mobile devices as remote servers to complete computation-intensive job. Existing system:
- 3. Do Your Projects With Domain Experts… Copyright © 2015 LeMeniz Infotech. All rights reserved Page number 3 LeMeniz Infotech 36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue, Pondicherry-605 005. Call: 0413-4205444, +91 9566355386, 99625 88976. Web : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com In dynamic networks, e.g., mobile cloud for disaster response or military operations, when selecting remote servers, energy consumption for accessing them must be minimized while taking into account the dynamically changing topology. Serendipity and other VMbased solutions considered the energy cost for processing a task on mobile devices and offloading a task to the remote servers, but they did not consider the scenario in a multi-hop and dynamic network where the energy cost for relaying=transmitting packets is significant. Disadvantages: Node failures, unstable links, or node-mobility, raising a reliability issue. Proposed System : In Proposed System first k-out-of-n framework that jointly addresses the energy-efficiency and fault-tolerance challenges. It assigns data fragments to nodes such that other nodes retrieve data reliably with minimal energy consumption. It also allows
- 4. Do Your Projects With Domain Experts… Copyright © 2015 LeMeniz Infotech. All rights reserved Page number 4 LeMeniz Infotech 36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue, Pondicherry-605 005. Call: 0413-4205444, +91 9566355386, 99625 88976. Web : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com nodes to process distributed data such that the energy consumption for processing the data is minimized. Through system implementation, the feasibility of our solution on real hardware was validated. Extensive simulations in larger scale networks proved the effectiveness of our solution. Architecture:
- 5. Do Your Projects With Domain Experts… Copyright © 2015 LeMeniz Infotech. All rights reserved Page number 5 LeMeniz Infotech 36, 100 Feet Road, Natesan Nagar, Near Indira Gandhi Statue, Pondicherry-605 005. Call: 0413-4205444, +91 9566355386, 99625 88976. Web : www.lemenizinfotech.com / www.ieeemaster.com Mail : projects@lemenizinfotech.com Hardware Requirement: System : Pentium IV 2.4 GHz. Hard Disk : 40 GB. Floppy Drive : 44 Mb. Monitor : 15 VGA Colour. Mouse : Logitech Ram : 512 Mb. MOBILE : ANDROID Software Requirement: Operating system : Windows 7. Coding Language : Java 1.7 Tool Kit : Android 2.3 ABOVE IDE : Eclipse