期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2020
卷号：9
期号：1
页码：12719-12724
DOI：10.15680/IJIRSET.2020.0901004
出版社：S&S Publications
摘要：In this work, we model an Effective Data Emplacement and Redistribution approach for large scale
streaming data application in the heterogeneous cloud environment. It acts as efficient to provide scalability to the data
in the shortest duration. It also has proven to be an effective platform to process a large set of unstructured data. The
approach employs the distributed computing at scale usually involving hundreds to thousands of machines to facilitate
the large scale data processing. It offers a more cost-effective model to implement data processing and data placement.
The difference in processing capabilities on MapReduce nodes results in load imbalance which requires separate
mechanism to done to make task scheduling and load balancing as heterogeneity aware model. MapReduce model uses
different constraints and configuration based on the resources to balanced the data towards increasing the efficiency of
the resource clusters in the cloud environment.
