Auto Selection of Clustering Techniques Using Cluster Validations for Cloud Log Analysis
Sreekanth D1, Gladston Raj S.2
1Sreekanth D, Research Scholar, Bharathiar University, Coimbatore (Tamil Nadu), India.
2Dr. Gladston Raj S., Assistant Professor and Head, Department of Computer Science, Govt. College, Nedumangad, Trivandrum (Tamil Nadu), India.
Manuscript received on 07 June 2019 | Revised Manuscript received on 30 June 2019 | Manuscript Published on 04 July 2019 | PP: 951-955 | Volume-8 Issue-1S4 June 2019 | Retrieval Number: A11750681S419/2019©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The work identified the challenges and requirements to select the right algorithm for clustering to detect the anomalies in the cloud Log Data. Having identified the gaps in the existing research in the area of cloud log analysis, it looks forward to providing a meaningful model for handling the problem dealing with different datasets like logs of OpenStack cloud, Hadoop and Spark. The system is capable to choose the right algorithm for the dataset comes up for the analysis. Here it is used the cluster validation techniques to select the right algorithm and based on the threshold values it is possible to differentiate the data in the dataset.
Keywords: Audio and Image, GPS, GPRS, GSM, Sensors.
Scope of the Article: Clustering