A Review on Workflow Management System for Scalable Data Mining on Clouds |
Author(s): |
| Ranjita Lalu Ram , Vidarbha Institute o Technology; Ranjita Lalu Ram, Vidarbha Institute o Technology; Pravin kukurkar, Vidarbha Institute o Technology; Pranita laddhad, Vidarbha Institute o Technology |
Keywords: |
| Workflows, Data Analysis, Cloud Computing, Software-As-A-Service, Scalability |
Abstract |
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Cloud computing provides flexible services, large performance and scalable data storage to a large and everyday increasing number of users. Clouds enlarged the offer of distributed computing systems by providing advanced Internet services that complement and complete functionalities of distributed computing provided by the Web, Grid computing and peer-to-peer networks. Cloud computing systems provide large-scale infrastructures for complex high-performance applications. Although a few cloud-based analytics platforms are available to-day. As more such platforms emerge, researchers will port increasingly powerful data mining programming tools and strategies to the cloud to exploit complex and flexible software models such as the distributed workflow paradigm. In this paper, we use micro strategic technique and implement a Data Mining Cloud Framework (DMCF) with different application. |
Other Details |
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Paper ID: IJSRDV4I100071 Published in: Volume : 4, Issue : 10 Publication Date: 01/01/2017 Page(s): 115-116 |
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