推测碎片整理-一种提高千兆以太网通信软件效率的技术

C. Kurmann, Michael Müller, F. Rauch, T. Stricker
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引用次数: 16

摘要

集群平台提供了良好的计算性能,但仍不能充分利用Gbit/s通信技术的潜力。虽然以太网的速度已经增长到1 Gbit/s,但网络接口的功能和体系结构支持十多年来一直保持不变,因此内存系统成为一个限制因素。为了维持应用程序中的原始网络速度,需要“零拷贝”网络接口体系结构,但是,对于所有广泛使用的堆栈,需要最后一份拷贝来传输网络数据包(去)碎片,因为以太网数据包小于页面大小。正确地整理硬件中各种通信协议的数据包是一项极其复杂的任务。因此,我们考虑了一种推测性的碎片整理技术,它可以消除现有硬件上零拷贝TCP/IP堆栈中的最后一个碎片整理复制操作。碎片包的有效负载与报头分离并存储在一个内存页中,该内存页可以直接映射到用户内存中的最终目的地。为了评估我们的想法,我们将具有推测碎片整理功能的网络接口驱动程序集成到现有的协议堆栈中,并添加了众所周知的页面重映射和快速缓冲策略。测量表明,我们可以在标准Linux 2.2 TCP/IP堆栈上将千兆以太网的性能提高1.5-2倍,以实现不间断的突发传输。此外,我们的研究表明,在pc集群上,数据库和科学应用程序代码的投机成功率很高。
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Speculative defragmentation - a technique to improve the communication software efficiency for Gigabit Ethernet
Cluster platforms offer good computational performance, but they still cannot utilize the potential of Gbit/s communication technology. While the speed of the Ethernet has grown to 1 Gbit/s, the functionality and the architectural support in the network interfaces has remained the same for more than a decade, so that the memory system becomes a limiting factor. To sustain the raw network speed in applications, a "zero-copy" network interface architecture would be required, but, for all widely used stacks, a last copy is required for the (de)fragmentation of the transferred network packets, since Ethernet packets are smaller than a page size. Correctly defragmenting packets of various communication protocols in hardware is an extremely complex task. We therefore consider a speculative defragmentation technique that can eliminate the last defragmenting copy operation in zero-copy TCP/IP stacks on existing hardware. The payload of fragmented packets is separated from the headers and stored in a memory page that can be mapped directly to its final destination in user memory. To evaluate our ideas, we integrated a network interface driver with speculative defragmentation into an existing protocol stack and added well-known page remapping and fast buffer strategies. Measurements indicate that we can improve the performance for a Gigabit Ethernet over a standard Linux 2.2 TCP/IP stack by a factor of 1.5-2 for uninterrupted burst transfers. Furthermore, our study demonstrates good speculation success rates for a database and a scientific application code on a cluster of PCs.
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