期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
期号：ICIET
页码：44
出版社：S&S Publications
摘要：A Database-Driven Framework for Non-Intrusive Load Monitoring is the effort to study andtounderstand the Big Data Storage and Analysis. And also to derive some useful solutions and betterments overexisting frameworks in place using the latest powerful technologies and tools. Big Data is considered as a promisingtechnology for increasing segment of IT industry and business applications includes names health care, banking etc.Since the extent and volume of big data is large, the fixed amount of storage is not suitable for storing such dynamicgeneration of data. Therefore recent technology uses cloud based storage and storage networking therewith improveddata storage and mining techniques. There are the requirements for the flexible distributed architecture for the storage,transfer, manipulation and analysis of time-series data, the network-transparent with facilitation of remote viewing andmanagement of large data sets, and best use of efficient data Reduction and indexing techniques. The requirements ledto search for the better solutions using the latest technology, which are the objective of the proposed paper.
