The data users of the cloud storage have to pay only for the actual storage they use. The cloud paradigm makes the user outsource their personal data to the cloud storage server which facilitates the users’ access to their data anywhere at any time. IntroductionĬloud computing makes the infrastructure, platform, and software as a service for the worldwide users. The objective of using BTree fuzzy searchable index is to resolve typos and representation inconsistencies and also to facilitate effective data utilization. Our proposed Asymmetric Classifier Multikeyword Fuzzy Search method provides classifier search server that creates universal keyword classifier for the multiple keyword request which greatly reduces the searching time by learning the search path pattern for all the keywords in the fuzzy keyword set. In this paper, we have discussed the existing fuzzy searching techniques and focused on reducing the searching time on the cloud storage server for effective data utilization. In the pursuit of increasing data utilization on public cloud storage, the key is to make effective data access through several fuzzy searching techniques. With the pervasive usage of internet, the focus has now shifted towards effective data utilization on the cloud without compromising security concerns. The opportunity to use cloud services on pay-per-use basis provides comfort for private data owners in managing costs and data. While customers have no visibility on how their data is stored on service provider’s premises, it offers greater benefits in lowering infrastructure costs and delivering more flexibility and simplicity in managing private data. Cloud computing has pioneered the emerging world by manifesting itself as a service through internet and facilitates third party infrastructure and applications.
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