DocumentCode :
3432278
Title :
Reduce IP Address Fragmentation through Allocation
Author :
Wang, Mei ; Dunn, Larry ; Mao, Wei ; Chen, Tao
Author_Institution :
Cisco Syst., Inc., San Jose
fYear :
2007
fDate :
13-16 Aug. 2007
Firstpage :
371
Lastpage :
376
Abstract :
The scalability of Internet addressing and routing has been a serious issue and becomes a more urgent problem today because of driving factors like IPv6. A radical impacting element of the scalability is address allocation, as it directly affects routing table structure, hence, IP lookup and routing efficiency. A key problem in IPv4 today is address fragmentation, i.e., one entity is represented by multiple non-contiguous IP address blocks in the routing table. Address fragmentation increases routing table size, therefore degrades scalability. Existing address allocation practices are a major contributor to address fragmentation. In this paper, we demonstrate that the performance of address allocation can be dramatically improved. We propose a new address allocation algorithm called GAP: Growth-based Address Partitioning. Through real data, we show that GAP can reduce fragmentation by 90% compared to the existing allocation schemes. This is significant for reducing routing table size, increasing scalability, and improving the performance of the Internet. We also introduce a software tool being developed for address allocation.
Keywords :
IP networks; Internet; telecommunication network routing; IP lookup; IPv6; Internet addressing; Internet routing; address allocation algorithm; growth-based address partitioning; reduce IP address fragmentation; routing table structure; Degradation; Graphics; IP networks; Partitioning algorithms; Routing; Scalability; Software packages; Software tools; Telecommunication traffic; Web and internet services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communications and Networks, 2007. ICCCN 2007. Proceedings of 16th International Conference on
Conference_Location :
Honolulu, HI
ISSN :
1095-2055
Print_ISBN :
978-1-4244-1251-8
Electronic_ISBN :
1095-2055
Type :
conf
DOI :
10.1109/ICCCN.2007.4317847
Filename :
4317847
Link To Document :
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