Mashup Service Implementation on Multi-cloud Environment Using Map Reduction Approach
Venkateswara Rao Peddada, Ali Hussain Mohd
Journal of Data Processing, Vol. 8, No. 1, 2018.
DOI: 
Link: http://www.dline.info/jdp/fulltext/v8n1/jdpv8n1_2.pdf
Abstract:
Developing a mashup service is possible with integrating different functionalities and their data from different clouds. For example, one of the popular website twazzup.com contains some features from different sources like tweets from
Twitter, images taken from Flicker, and new updates based on search terms we entered. Here we discussed advantage of using
Enhanced Map reduced service in Multi-cloud Mashup service. We compare three popular MapReduced Skyline algorithms-
MR-Angle[19], MR-Bitmap[37], MR-GPMRS[24] with the evaluated results taken from different sources. In this paper we tried to select best MapReduced skyline algorithm suitable for implementation of parallel processing to improving Mashup Services.