Trident Technology Usage in Query Search time by using Cache Memory
K. Mamatha1, J. Saritha2
1K. Mamatha, M.Tech Student, Department of Computer Science and Engineering, Jntua College of Engineering, Pulivendula (Andhra Pradesh), India.
2Dr. J. Saritha, Assistant Professor, Department of Computer Science and Engineering, Jntua College of Engineering, Pulivendula (Andhra Pradesh), India.
Manuscript received on 13 October 2019 | Revised Manuscript received on 22 October 2019 | Manuscript Published on 02 November 2019 | PP: 1046-1049 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11760982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1176.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Big data is technology which has the users increasing day-by-day. This technology is now using in all the fields for storing the large dataset. Large datasets cannot be handled by normal database. So we are using this big data. Here in this paper we are using trident technology to avoid the issues searching query in hadoop like time. So by using cache memory is used with trident technology to perform the search operation faster than the hadoop. Here we are using the SHA algorithm while clustering the dataset.
Keywords: Big data, Hadoop, Clusters, Nodes, Distributed server.
Scope of the Article: Search-Based Software Engineering