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Title: Correlation analysis on real-time tab-delimited network monitoring data

End-End performance monitoring in the Internet, also called PingER is a part of SLAC National Accelerator Laboratory’s research project. It was created to answer the growing need to monitor network both to analyze current performance and to designate resources to optimize execution between research centers, and the universities and institutes co-operating on present and future operations. The monitoring support reflects the broad geographical area of the collaborations and requires a comprehensive number of research and financial channels. The data architecture retrieval and methodology of the interpretation have emerged over numerous years. Analyzing this data is the main challenge due to its high volume. Finally, by using correlation analysis, we can make crucial conclusions about how the network data affects the performance of the hosts and how it depends from countries to countries.
Authors:
 [1] ;  [1] ;  [1] ;  [2] ;  [2]
  1. Amity Univ., Noida (India). Amity School of Engineering and Technology, Dept. of Computer Science & Engineering (CSE)
  2. SLAC National Accelerator Lab., Menlo Park, CA (United States)
Publication Date:
Report Number(s):
SLAC-PUB-17143
Grant/Contract Number:
AC02-76SF00515
Type:
Accepted Manuscript
Additional Journal Information:
Conference: Cloud System and Big Data Engineering (Confluence), 2016 6th International Conference, Noida (India), 14-15 Jan 2016
Research Org:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Correlation; Network Monitoring; Ping; Tab-Delimited; PingER; Decision support systems; Big data
OSTI Identifier:
1379963