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A Coding-based Approach to Mitigate TCP Incast in Data Center Networks

机译:数据中心网络中基于编码的缓解TCP内播的方法

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As the key infrastructure of cloud computing, data center network provides routing and transport services for cloud applications. To ensure reliable data delivery, TCP has been used in data centers as the de facto transport layer protocol. However, recently researchers found that when a client has a barrier-synchronized requirement and requests data from many servers, the good put may experience collapse. This phenomenon is well-known as TCP In cast. The main cause of TCP In cast is the scare buffer size in low end switches as well as the mismatch between RTO and RTT in data centers. So existing solutions focus on either minimizing the effect of TCP's RTO, or preventing flows from aggressively utilizing the switch buffer. Different from the previous approaches, in this paper we employ coding-based UDP to replace TCP as the transport protocol for the many-to one applications. Specifically, we use LT Codes to ensure reliable data delivery, and adopt TCP Friendly Rate Control (TFRC) to achieve congestion control. The NS based simulation shows that our approach can significantly enhance the application good put in a typical TCP In cast scenario.
机译:作为云计算的关键基础架构,数据中心网络为云应用程序提供路由和传输服务。为了确保可靠的数据传输,TCP已在数据中心中用作事实上的传输层协议。但是,最近的研究人员发现,当客户有一个与障碍同步的要求并从许多服务器请求数据时,优盘可能会崩溃。这种现象被称为TCP In cast。 TCP In Cast的主要原因是低端交换机的缓冲区大小不足,以及数据中心中RTO和RTT之间的不匹配。因此,现有的解决方案着重于使TCP RTO的影响最小化,或防止流量积极利用交换缓冲区。与以前的方法不同,本文采用基于编码的UDP代替TCP作为多对一应用程序的传输协议。具体来说,我们使用LT代码来确保可靠的数据传递,并采用TCP友好速率控制(TFRC)来实现拥塞控制。基于NS的仿真表明,我们的方法可以显着增强典型TCP In Cast场景中的应用程序性能。

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