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Considering this challenge, this paper presents an approach to\n          achieve effectiveness and scalability of a CBIR system in a large-scale dataset. To do\n          that, we propose a cache mechanism to spare the distance computation efforts of a\n          retrieval task in the CBIR system. Additionally, a MapReduce technique is presented to\n          exploit the cached data in a parallel facility, thereby not only improving the performance\n          of a CBIR system but also ensuring scalability for the system. Additionally, a\n          collaborative caching service has been introduced for enhancing the data availability,\n          thus decreasing the network traffic load due to fetching data remotely in the distributed\n          environment. Moreover, by clustering the dataset before a search, this system can be\n          efficient at responding to a user query since only a portion of the dataset is actually\n          operated at a time. Through experiments, our approach obtains significant efficiency gains\n          compared to other methods in terms of response time and achieves an acceptable accuracy\n          ratio, which is applicable in the practical environment.<\/jats:p>","DOI":"10.3233\/jifs-181760","type":"journal-article","created":{"date-parts":[[2019,5,24]],"date-time":"2019-05-24T10:53:13Z","timestamp":1558695193000},"page":"5943-5958","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Joint index and cache technique for improving the effectiveness of a similar          image search in big data framework"],"prefix":"10.1177","volume":"36","author":[{"given":"Tri D.T.","family":"Nguyen","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Kyung Hee University, Korea"}]},{"given":"Eui-Nam","family":"Huh","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Kyung Hee University, Korea"}]}],"member":"179","published-online":{"date-parts":[[2019,5,23]]},"reference":[{"key":"e_1_3_2_2_2","volume-title":"Springer Science & Business Media","author":"Veltkamp R.","year":"2013","unstructured":"R.Veltkamp, H.Burkhardt and H.P.Kriegel, State-of-the-Art in Content-Based Image and Video Retrieval. 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