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| Content Provider | ACM Digital Library |
|---|---|
| Author | Sivaraman, Anirudh Kim, Changhoon Goyal, Prateesh Jeyakumar, Vimalkumar Narayana, Srinivas Nathan, Vikram Alizadeh, Mohammad Arun, Venkat |
| Abstract | We demonstrate Marple [15], a system that allows network operators to measure a wide variety of performance metrics in real time. It consists of a performance query language, Marple, modeled on familiar functional operators like map, filter, and groupby. Marple is supported by a programmable key-value store on switches, which can compute flexible aggregated statistics (e.g., per-flow counts, moving averages over queueing latencies) over packets at line rate. Our switch design implements performance queries which could previously run only on end hosts, while utilizing only a modest fraction of switch hardware resources. To demonstrate the utility of Marple, we compile Marple queries to a P4-programmable software switch running within Mininet. We demonstrate two example use cases of Marple: diagnosing the root cause of latency spikes and measuring the flowlet size distribution. |
| Starting Page | 57 |
| Ending Page | 59 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781450350570 |
| DOI | 10.1145/3123878.3131985 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-08-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Network programming Network measurement Network hardware |
| Content Type | Text |
| Resource Type | Article |
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