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作 者:闵丛丛 MIN Congcong(Guangdong Communications and Networks Institute,GuangDong Guangzhou 510700)
机构地区:[1]广东省新一代通信与网络创新研究院,广东广州510700
出 处:《长江信息通信》2024年第9期30-32,共3页Changjiang Information & Communications
摘 要:随着SDN技术的快速发展,传统南向接口协议Openflow快速迭代,Openflow 1.0到1.5匹配域从12个发展到45个。由于Openflow可拓展能力的缺乏,每增加1个匹配域从芯片的包处理逻辑到上层协议栈均需要重新研发,大大增加了交换机的迭代周期和成本。为了解决该类问题,Nick等人提出协议无关的处理语言P4(P4,Programming Protocol-independent Packet Processors)。近年来,大模型、机器学习、AI技术的发展也给传统的传输网络技术带来新的研究热点,传统的基于IP的转发路由逻辑很难和机器学习、AI等技术紧密联系起来。因此,为满足机器学习的相关要求,文章围绕着基于P4的可编程转发的智能路由技术展开研究,包括基于P4的数据采集技术、源路由技术、多路径转发技术等。With the rapid development of SDN technology,the traditional south-bound interface protocol OpenFlow has seen rapid iterations,cxpanding its match ficlds from 12 in Openflow 1.0 to 45 in 1.5.Due to the lack of extensibility in Openflow,adding each match field requires redeveloping the packet procssing logic from the chip to the upper protocol stack,significantly increasing the iteration cycle and cost of switches.To address this issue,Nick and others introduced the Programming Protocol-independent Packet Processors.In recent years,the advancements in large models,machine learning,and AI have created new research hotspots in traditional transmission network technologies.The traditional IP-based forwarding and routing logic struggles to integrate seamlessly with machine learning and Al.To meet the requirements of machine learning,the rescarch of this papers focus on intelligent routing techniques based on P4,including P4-bascd data collection,source routing,and multipath forwarding.
分 类 号:TN929.5[电子电信—通信与信息系统]
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