DocumentCode :
1971923
Title :
An Efficient Algorithm about Extracting Large MIB Table
Author :
Lv, Liping ; Ming, Tingtang
Author_Institution :
Dept.of Comput. & Inf. Technol., Zhengzhou Univ., Zhengzhou, China
fYear :
2010
fDate :
22-23 June 2010
Firstpage :
255
Lastpage :
258
Abstract :
The composition of the network becomes more complex and the number of nodes that compose a network has increased greatly. Therefore, efficient network management is becoming vital. SNMP (Simple Network Management Protocol) with its advantages of high efficiency has been widely used in the management of a variety of network communication equipments, but how effectively transmit large bulk data between NMS (Network Management Station) and SNMP Agent remains a prominent issue. GetBulk made a great contribution to SNMPv2 in transferring bulk data, but there is a problem in extracting bulk data from mib tables using GetBulk is that the management system typically does not know the number of rows in the table, so easily leads to excessive or insufficient retrieval. To resolve these problems, this article proposes an M-GetBulk algorithm by adding GetBulk Request PDU field and modifying data storage structure. Our simulation results also show that M-GetBulk algorithm greatly reduces network bandwidth consumption and data query time.
Keywords :
computer network management; protocols; GetBulk; GetBulkRequest PDU field; M-GetBulk algorithm; SNMPv2; data query time; large MIB table extraction; network bandwidth consumption; network communication equipments; network management station; simple network management protocol; Algorithm design and analysis; Bandwidth; Computers; Data mining; Indexes; Memory; Protocols; GetBulk; NMS; SNMP; SNMPv2; mib;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computing and Cognitive Informatics (ICICCI), 2010 International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-6640-5
Electronic_ISBN :
978-1-4244-6641-2
Type :
conf
DOI :
10.1109/ICICCI.2010.31
Filename :
5565987
Link To Document :
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