Revisiting Network Telemetry in COIN: A Case for Runtime Programmability

Revisiting Network Telemetry in COIN: A Case for Runtime Programmability
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DOI:
10.1109/mnet.201.2100064
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发表时间:
2021-09
期刊:
影响因子:
9.3
通讯作者:
Chris Misa;Ramakrishnan Durairajan;R. Rejaie;W. Willinger
Chris Misa;Ramakrishnan Durairajan;R. Rejaie;W. Willinger
中科院分区:
计算机科学2区
文献类型:
--
作者:
Chris Misa;Ramakrishnan Durairajan;R. Rejaie;W. Willinger

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基于网络计算(COUNT)范例的应用程序需要灵活的网络遥测数据来驱动有效的分配决策。遥测系统根据指定所需的精确流量指标或功能的查询来收集此类数据。可编程交换机硬件的最新进展导致了使用网络内资源计算查询结果的高效方法。然而,现有的方法不能满足动态流量负载、多样化查询类型和查询动态性的同时需求。在这项工作中,我们认为遥测系统应该被转换为活动的运行时调度器而不是静态的数据源。然后,基于硬币的应用程序可以动态提交遥测查询,并以闭环方式对其结果做出反应-从而实现新一代遥测驱动的反应式应用程序。作为实现这一愿景的第一步,我们提出了一种单开关遥测作业调度方法。我们的经验评估表明,与最坏情况分配相比,这种方法可以减少一个数量级的开销。这一初步探索为多层调度框架打开了大门,该框架将交换机硬件与基于软件的计算平台相结合,以满足未来基于硬币的应用的遥测需求。
Applications based on the compute-in-the-network (COIN) paradigm require flexible network telemetry data to drive effective allocation decisions. Telemetry systems collect such data based on queries specifying the precise traffic metrics or features required. Recent advances in programmable switch hardware have led to highly efficient methods to compute query results using in-network resources. However, current approaches fail to meet the simultaneous requirements of dynamic traffic loads, diverse query types, and query dynamics. In this work, we argue that telemetry systems should be cast as active runtime schedulers rather than static data sources. COIN-based applications can then dynamically submit telemetry queries on the fly and react to their results in a closed-loop fashion – enabling a new generation of telemetry-driven reactive applications. As a first step toward this vision, we present a single-switch telemetry operation scheduling method. Our empirical evaluation demonstrates that such a method can reduce overhead by an order of magnitude compared to worst case allocations. This initial exploration opens the door to a multi-tier scheduling framework combining switch hardware with software-based compute platforms to meet the telemetry demands of future COIN-based applications.