Enterprise Network Weather Map System using SNMP 


Vol. 15,  No. 2, pp. 93-102, Apr.  2008
10.3745/KIPSTC.2008.15.2.93


PDF
  Abstract

The network weather map and bandwidth time-series graph are popularly used to understand the current and past traffic condition of NSP, ISP, and enterprise networks. These systems collect traffic performance data from a SNMP agent running on the network devices such as routers and switches, store the gathered information into a DB, and display the network performance status in the form of a time-series graph or a network weather map using Web user interface. Most of current enterprise networks are constructed in the form of a hierarchical tree-like structure with multi-Gbps Ethernet links, which is quietly different from the national or world-wide backbone network structure. This paper focuses on the network weather map for current enterprise network. We start with the considering points in developing a network weather map system suitable for enterprise network. Based on these considerings, this paper proposes the best way of using SNMP in constructing a network weather map system. To prove our idea, we designed and developed a network weather map system for our campus network, which is also described in detail.

  Statistics
  Cite this article

[IEEE Style]

M. S. Kim, S. Y. Kim, J. S. Park, K. J. Choi, "Enterprise Network Weather Map System using SNMP," The KIPS Transactions:PartC, vol. 15, no. 2, pp. 93-102, 2008. DOI: 10.3745/KIPSTC.2008.15.2.93.

[ACM Style]

Myung Sup Kim, Sung Yun Kim, Jun Sang Park, and Kyung Jun Choi. 2008. Enterprise Network Weather Map System using SNMP. The KIPS Transactions:PartC, 15, 2, (2008), 93-102. DOI: 10.3745/KIPSTC.2008.15.2.93.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals