期刊名称：Bonfring International Journal of Software Engineering and Soft Computing
印刷版ISSN：2250-1045
电子版ISSN：2277-5099
出版年度：2018
卷号：8
期号：1
页码：01-05
DOI：10.9756/BIJSESC.8380
语种：English
出版社：Bonfring
摘要：Big data analytic is and cloud service for analysis useful information. Traditionally, data sets are stored and processed in a single data center. As the amount of data grows at a high rate, using of one data centre is less efficient to handle large amounts of data and also attaining optimal performance of such system is challenging when compare to traditional system. In order to over such drawbacks, large cloud services are provided to deploy data centers around the world to improve performance and availability. The widely used method for the analysis of geographically distributed data is a centralized approach that aggregates all raw data from a local data center into a central data center. It has been observed that this approach consumes a lot of bandwidth, resulting in poor performance. A number of mechanisms have been projected in literature survey to achieve optimal performance for analyzing data in geographically distributed data center?s. In this paper, heuristics approach for analyzing the geographically data have been proposed and implemented in Hadoop. The result shows that performance of the proposed work is better than existing approaches.
关键词：Big Data Analytics; Geo-distributed; Data Center.
