June 15, 2014
June 15, 2014
June 18, 2014
Computing & Information Technology
24.1339.1 - 24.1339.9
Using NoSQL in Designing Systems for Delivering Electric Vehicle Data Analytics.In the recent times, advances in scientific research related to electric vehicles led togeneration of large amounts of data. This data is majorly logger data collected fromvarious sensors in the vehicle. It is predominantly unstructured and non-relational innature, also called big data. Analysis of such data needs a high performanceinformation technology infrastructure that provides superior computational efficiencyand storage capacity. It should be scalable to accommodate the growing data andensure its security over a network. This research proposes architecture built overHadoop to effectively support distributed data management over a network for real-time data collection and storage, parallel processing, faster and random read accessfor information retrieval for decision-making.This system provides a simplified way of extracting from sensor data loggers andtransforms this raw data into classified buckets. Once imported into a database, thesystem can support efficient analysis and visualization methods to study the dataperform user-required analytics. These analytics can help understand correlationsbetween data parameters under various circumstances. This system providesscalability to support data accumulation in the future and still perform analytics withless overhead. Overall, these open problems in EV data analytics are taken intoconsideration and a low-cost architecture for data management is researched.
Bolly, V. K., & Springer, J., & Dietz, J. E. (2014, June), Using Open Source NoSQL technologies in Designing Systems for Delivering Electric Vehicle Data Analytics. Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/23272
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