Performance Measure for Detection of Data Discontinuity in Large Scale System
J. Dillibabu1, K. Nirmala2

1J. Dillibabu, Assistant Professor, St.Thomas College of arts and science, Chennai, (Tamil Nadu), India.
2K. Nirmala Associate Professor, Quaid-E-Millath Government college for women, Chennai, (Tamil Nadu), India.

Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1908-1913 | Volume-7 Issue-6, March 2019 | Retrieval Number: F2375037619/19©BEIESP
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© 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: One of the major issues looked by analyst is getting ready to use data in order to determining the opportune recognizable proof of discontinuities in data.An irregularity is a unexpected alteration in the period arrangement example of a presentationpledge that holds on yet does not repeat. In this paper, the proposed work is client get approve by utilizing versatile validation and the performance can be assessed by utilizing the experiments, if experiment conditions are tried lastly produce the report. The client is legitimate to utilize the system then the performance can be determined dependent on their performance conduct of the target system.
Keywords: Data Discontinuity, Anomaly, Target system, Performance counter

Scope of the Article: High Performance Computing