基于网络资源分配模型的有状态功能处理加速架构分析
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摘要
本文提出了一种基于可编程硬件的有状态加速架构,此架构的加速平台是通过可编程硬件构建得到,实现对数据平面的状态管理,以此实现把有状态VNF数据传输至独立硬件加速器之后再对其统一处理。通过性能分析得到,当对更多的VNF并行处理时,有助于提高SFPA架构的吞吐量。对4个VNF进行并行加速时,将使硬件加速平台发生满负荷运行。使用资源分配优化算法之后,在SFPA中的SliCE资源消耗总量发生了降低的现象,对于不同数量的VNF,采用此算法得到的优化率也存在明显的差异,对两个VNF实施并行加速时,可以获得的最高优化率等于42%。
this paper proposes a state acceleration architecture based on programmable hardware, which is built on programmable hardware to realize state management of data plane, so as to realize unified processing of state VNF data transmitted to independent hardware accelerators. Performance analysis results: when more VNF is processed in parallel, it helps to improve the throughput of the SFPA architecture. When four VNF are accelerated in parallel, the hardware acceleration platform will run at full load. After using the resource allocation optimization algorithm, the total amount of SliCE resource consumption in SFPA is reduced. For different VNF, the optimization rate obtained by using this algorithm is also significantly different. When two VNF are accelerated in parallel, the maximum optimization rate obtained is equal to 42%.
this paper proposes a state acceleration architecture based on programmable hardware, which is built on programmable hardware to realize state management of data plane, so as to realize unified processing of state VNF data transmitted to independent hardware accelerators. Performance analysis results: when more VNF is processed in parallel, it helps to improve the throughput of the SFPA architecture. When four VNF are accelerated in parallel, the hardware acceleration platform will run at full load. After using the resource allocation optimization algorithm, the total amount of SliCE resource consumption in SFPA is reduced. For different VNF, the optimization rate obtained by using this algorithm is also significantly different. When two VNF are accelerated in parallel, the maximum optimization rate obtained is equal to 42%.
引文
[1] 尹魏昕,周迅钊,徐雷.基于安全感知的云无线接入网络资源分配算法研究[J].网络安全技术与应用,2018(7):39-41,58.
[2] 李敏,许振飞,许崇志,等.QoS驱动的电力通信网效用最大化资源分配机制[J].计算机系统应用,2018,27(7):265-271.
[3] 孙彦赞,范卫蓉,张舜卿,等.基于图着色的密集D2D网络资源分配算法[J].计算机工程,2019,45(2):26-31.
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[5] 徐勇军,李国权,徐鹏,等.异构无线网络资源分配算法研究综述[J].重庆邮电大学学报(自然科学版),2018,30(3):289-299.
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[7] 王楚捷,王好贤.M-CORD下无线接入网络资源分配研究[J].计算机工程与应用,2018,54(22):92-98.
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[9] 高赐威,曹晓峻,闫华光,等.数据中心电能管理及参与需求侧资源调度的展望[J].电力系统自动化,2017,41(23):1-7.
[10] 曹晓峻,高赐威,李德智,等.数据网络与电力网络混合运行建模及其参与系统经济运行[J].中国电机工程学报,2018,38(5):1448-1456.
[11] 陈治宇.基于预测的虚拟网络资源分配方法[J].电子测试,2018(15):76-77.
[12] 吴诗奎,王艳.软件定义网络的异构无线网络资源分配框架[J].计算机应用,2018,38(11):3293-3298.
[13] 诸葛斌,亓一航,傅晗文,等.基于SDN框架的网络资源定价策略[J].电信科学,2018,34(7):49-61.
[14] 李敏,许振飞,许崇志,等.QoS驱动的电力通信网效用最大化资源分配机制[J].计算机系统应用,2018,27(7):265-271.
[15] 孙彦赞,范卫蓉,张舜卿,等.基于图着色的密集D2D网络资源分配算法[J].计算机工程,2019,45(2):26-31.
[2] 李敏,许振飞,许崇志,等.QoS驱动的电力通信网效用最大化资源分配机制[J].计算机系统应用,2018,27(7):265-271.
[3] 孙彦赞,范卫蓉,张舜卿,等.基于图着色的密集D2D网络资源分配算法[J].计算机工程,2019,45(2):26-31.
[4] 毛莉君,张燕.基于能效的异构无线网络资源分配与切换调度机制研究[J].计算机测量与控制,2018,26(6):231-235.
[5] 徐勇军,李国权,徐鹏,等.异构无线网络资源分配算法研究综述[J].重庆邮电大学学报(自然科学版),2018,30(3):289-299.
[6] 王汝言,周静,吴大鹏.C-RAN回传网络中下行资源调度策略[J].工程科学学报,2018,40(5):629-638.
[7] 王楚捷,王好贤.M-CORD下无线接入网络资源分配研究[J].计算机工程与应用,2018,54(22):92-98.
[8] 杜秋月.基于微观经济学方法下网络资源分配的思考[J].中国市场,2018(10):196-198.
[9] 高赐威,曹晓峻,闫华光,等.数据中心电能管理及参与需求侧资源调度的展望[J].电力系统自动化,2017,41(23):1-7.
[10] 曹晓峻,高赐威,李德智,等.数据网络与电力网络混合运行建模及其参与系统经济运行[J].中国电机工程学报,2018,38(5):1448-1456.
[11] 陈治宇.基于预测的虚拟网络资源分配方法[J].电子测试,2018(15):76-77.
[12] 吴诗奎,王艳.软件定义网络的异构无线网络资源分配框架[J].计算机应用,2018,38(11):3293-3298.
[13] 诸葛斌,亓一航,傅晗文,等.基于SDN框架的网络资源定价策略[J].电信科学,2018,34(7):49-61.
[14] 李敏,许振飞,许崇志,等.QoS驱动的电力通信网效用最大化资源分配机制[J].计算机系统应用,2018,27(7):265-271.
[15] 孙彦赞,范卫蓉,张舜卿,等.基于图着色的密集D2D网络资源分配算法[J].计算机工程,2019,45(2):26-31.