scholarly journals Accelerating Packet Processing in a Xen Environment with OpenDataPlane

2016 ◽  
Author(s):  
Tarek Rabia ◽  
Othmen Braham ◽  
Guy Pujolle
Keyword(s):  
Packet Processing

OpenTag: Tag-Based User-Driven In-Network Packet Processing on Commercial Network Devices

2013 ◽  
Vol E96.B (1) ◽  
pp. 31-39
Author(s):  
Ryoji FURUHASHI ◽  
Akihiro NAKAO
Keyword(s):  
Packet Processing ◽  
Commercial Network

High-speed packet processing by non-collision hash functions based on middle-point partition

2013 ◽  
Vol 32 (4) ◽  
pp. 999-1002
Author(s):  
Mo-hua ZHANG ◽  
Ge LI
Keyword(s):  
High Speed ◽  
Hash Functions ◽  
Packet Processing ◽  
Middle Point

scholarly journals High Performance Packet Processing with FlexNIC

2016 ◽  
Vol 51 (4) ◽  
pp. 67-81 ◽  
Author(s):  
Antoine Kaufmann ◽  
SImon Peter ◽  
Naveen Kr. Sharma ◽  
Thomas Anderson ◽  
Arvind Krishnamurthy
Keyword(s):  
High Performance ◽  
Packet Processing

scholarly journals High Performance Packet Processing with FlexNIC

2016 ◽  
Vol 44 (2) ◽  
pp. 67-81 ◽  
Author(s):  
Antoine Kaufmann ◽  
SImon Peter ◽  
Naveen Kr. Sharma ◽  
Thomas Anderson ◽  
Arvind Krishnamurthy
Keyword(s):  
High Performance ◽  
Packet Processing

scholarly journals An Adaptive Throughput-First Packet Scheduling Algorithm for DPDK-Based Packet Processing Systems

2021 ◽  
Vol 13 (3) ◽  
pp. 78
Author(s):  
Chuanhong Li ◽  
Lei Song ◽  
Xuewen Zeng
Keyword(s):  
Packet Loss ◽  
High Performance ◽  
Packet Scheduling ◽  
Scheduling Algorithm ◽  
Processing System ◽  
System Throughput ◽  
Packet Processing ◽  
Research Attention ◽  
Continuous Increase ◽  
Packet Scheduling Algorithm

The continuous increase in network traffic has sharply increased the demand for high-performance packet processing systems. For a high-performance packet processing system based on multi-core processors, the packet scheduling algorithm is critical because of the significant role it plays in load distribution, which is related to system throughput, attracting intensive research attention. However, it is not an easy task since the canonical flow-level packet scheduling algorithm is vulnerable to traffic locality, while the packet-level packet scheduling algorithm fails to maintain cache affinity. In this paper, we propose an adaptive throughput-first packet scheduling algorithm for DPDK-based packet processing systems. Combined with the feature of DPDK burst-oriented packet receiving and transmitting, we propose using Subflow as the scheduling unit and the adjustment unit making the proposed algorithm not only maintain the advantages of flow-level packet scheduling algorithms when the adjustment does not happen but also avoid packet loss as much as possible when the target core may be overloaded Experimental results show that the proposed method outperforms Round-Robin, HRW (High Random Weight), and CRC32 on system throughput and packet loss rate.

scholarly journals Parallelizing packet processing in container overlay networks

2021 ◽  
Author(s):  
Jiaxin Lei ◽  
Manish Munikar ◽  
Kun Suo ◽  
Hui Lu ◽  
Jia Rao
Keyword(s):  
Overlay Networks ◽  
Packet Processing

Adaptive Batching for Fast Packet Processing in Software Routers using Machine Learning

2021 ◽  
Author(s):  
Peter Okelmann ◽  
Leonardo Linguaglossa ◽  
Fabien Geyer ◽  
Paul Emmerich ◽  
Georg Carle
Keyword(s):  
Machine Learning ◽  
Packet Processing ◽  
Software Routers

Optimizing software cache performance of packet processing applications

2007 ◽  
Vol 42 (7) ◽  
pp. 227-236
Author(s):  
Qin Wang ◽  
Junpu Chen ◽  
Weihua Zhang ◽  
Min Yang ◽  
Binyu Zang
Keyword(s):  
Packet Processing ◽  
Cache Performance ◽  
Software Cache
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