.png){kind=icon}
返回
CTLA: Compressed Table Look up Algorithm for Open Flow Switch
.png){kind=icon}
OA
AI
DOI：10.1109/OJCS.2024.3361710.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The size of the TCAM memory grows as more entries are added to the flow table of Open Flow switch. The procedure of looking up an IP address involves finding the longest prefix. In order to keep up with the link speed, the IP lookup operation in the forwarding table should also need to be speed up. TCAM's scalability and storage are constrained by its high power consumption and circuit density. The only time- or space-efficient algorithms for improvement are the subject of several research studies. In order to boost performance even further, this study focuses on time and space efficient algorithms. To strike a balance between speedy data access and efficient storage, this study proposes a combination of compression and a quick look-up mechanism to satisfy the space and speed requirements of the Open Flow switch. As the data is compressed, performance improves because less memory is required to store the look-up table and fewer bits are required to search. The look up complexity of proposed approach is $O(log\,(log\;n/2))$ and average space reduction is 61%.
Keyword:
IP networks
Complexity theory
Data structures
Memory management
Optical switches
Encoding
Symbols
Data compression
IP look-up
longest prefix match
OpenFlow
TCAM
期刊
I
IF:
8.2
论文数:
425
被引数:
810
机构
引用论文
Iatrogenic problems caused by immunosuppressive drugs in transplant recipients由免疫抑制药物在移植受者中引起的医源性问题
.png){kind=icon}
PREAI
分享收藏Reliability and construct validity of the Automated Neuropsychological Assessment Metrics (ANAM) mood scale自动神经心理学评估指标 (ANAM) 情绪量表的信度和结构效度OAAI
OAAI分享收藏AMOPE: Performance Analysis of OpenFlow Systems in Software-Defined NetworksAMOPE: 软件定义网络中OpenFlow系统的性能分析
PREAI
分享收藏分享收藏
查看更多内容