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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 energy efficiency performance of our framework in larger scale networks.
INDEX TERMS
storage management, cloud computing, data handling, energy conservation, fault tolerant computing, mobile computing,energy efficiency performance, energy-efficient fault-tolerant data storage, energy-efficient fault-tolerant data processing, mobile cloud, hand-held mobile devices, resource-intensive applications, k-out-of-n computing, data retrieval, fault tolerance performance,Mobile communication, Network topology, Cloud computing, Reliability, Topology, Mobile handsets, Peer-to-peer computing,fault-tolerant computing, Mobile computing, cloud computing, mobile cloud, energy-efficient computing,fault-tolerant computing, Mobile computing, cloud computing, mobile cloud, energy-efficient computing
CITATION
"Energy-Efficient Fault-Tolerant Data Storage and Processing in Mobile Cloud", IEEE Transactions on Cloud Computing, vol. 3, no. , pp. 28-41, Jan.-March 2015, doi:10.1109/TCC.2014.2326169
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