ACM Home Page
Please provide us with feedback. Feedback
Scaling issues in network monitoring
Full text PdfPdf (222 KB)
Source SSPS; Vol. 301 archive
Proceedings of the 2nd international workshop on Scalable stream processing system table of contents
Nantes, France
SESSION: Keynote speech table of contents
Pages 1-2  
Year of Publication: 2008
ISBN:978-159593-963-0
Author
Theodore Johnson  AT&T Labs Research
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 52,   Citation Count: 0
Additional Information:

abstract   references   index terms  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1379272.1379274
What is a DOI?

ABSTRACT

Monitoring a Tier-1 ISP's extremely large and diverse network places extreme scaling demands on a Data Stream Management System (DSMS). A typical application involves a large number stream queries executing on high volume streams, replicated at a large number of monitoring points, with the results fed to a stream warehouse supporting a large number of users. I will describe some of these challenges and how a DSMS and other tools have evolved to meet them.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

1
2
3
4
 
5
T. Johnson, S. Muthukrishnan, V. Shkapenyuk, O. Spatscheck: Query-Aware Sampling for Data Streams. SSPS 2007: 664--673
6
 
7
J. Li, K. Tufte, V. Shkapenyuk, V. Papadimos, T. Johnson, D. Maier. Out-of-Order Processing: A New Architecture for High-Performance Stream Systems. SIGMOD 2008.
8