FLICK: Developing and Running Application-Specific Network Services-猫眼课题宝

DOI：

10.17863/cam.389

发表时间：

2016-06

期刊：

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其他

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作者：

Abdul Alim;R. Clegg;Luo Mai;Lukas Rupprecht;Eric Seckler;Paolo Costa;P. Pietzuch;A. Wolf;Nik Sultana;J. Crowcroft;Anil Madhavapeddy;A. Moore;R. Mortier;M. Koleini;Luis Oviedo;Matteo Migliavacca;Derek McAuley

随着特定于应用程序的网络服务的激增，从自定义负载平衡器到提供缓存和聚合的中间盒，数据中心网络的可编程性越来越高。开发人员目前必须使用传统的低级api来实现这些服务，这些api既不支持对应用程序数据的自然操作，也不提供有效的性能隔离。我们描述了FLICK，一个在多核cpu上编程和执行应用程序特定网络服务的框架。开发人员使用FLICK语言编写网络服务，该语言提供高级处理构造和与应用程序相关的数据类型。FLICK程序自动转换为高效的并行任务图，在用户空间TCP堆栈之上用c++实现。任务图在运行时具有有限的资源使用，这意味着多个服务的图可以使用协作调度并发执行而不受干扰。我们用几个服务（一个HTTP负载平衡器、一个Memcached路由器和一个Hadoop数据聚合器）对FLICK进行了评估，结果表明它在减少开发工作量的同时实现了良好的性能。

Data centre networks are increasingly programmable, with application-specific network services proliferating, from custom load-balancers to middleboxes providing caching and aggregation. Developers must currently implement these services using traditional low-level APIs, which neither support natural operations on application data nor provide efficient performance isolation. We describe FLICK, a framework for the programming and execution of application-specific network services on multi-core CPUs. Developers write network services in the FLICK language, which offers high-level processing constructs and application-relevant data types. FLICK programs are translated automatically to efficient, parallel task graphs, implemented in C++ on top of a user-space TCP stack. Task graphs have bounded resource usage at runtime, which means that the graphs of multiple services can execute concurrently without interference using cooperative scheduling. We evaluate FLICK with several services (an HTTP load-balancer, a Memcached router and a Hadoop data aggregator), showing that it achieves good performance while reducing development effort.

FLICK: Developing and Running Application-Specific Network Services

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