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EuroSys 2020 Delegation Sketch : a Parallel Design with Support for Fast and Accurate Concurrent Operations Charalampos Stylianopoulos, Ivan Walulya, Magnus Almgren, Olaf Landsiedel and Marina Papatriantafilou Chalmers University of Technology,


  1. EuroSys 2020 Delegation Sketch : a Parallel Design with Support for Fast and Accurate Concurrent Operations Charalampos Stylianopoulos, Ivan Walulya, Magnus Almgren, Olaf Landsiedel and Marina Papatriantafilou Chalmers University of Technology, Sweden Distributed Computing and Systems

  2. Motivation Example: At any point in time, report how many packets from a given IP have been seen ¢ Exact answer space proportional to number of unique IPs ¢ Approximate answer constant space l Enough to summarize the input stream l Sketches are established tools for that 2

  3. Challenges ¢ We focus on how to parallelize sketches ¢ Parallelization is necessary: l High-speed networks Mops/sec on the sketch l Many-core platforms underutilized in sketches Accuracy ¢ 4-way tradeoff: l Applications require fast insertions and queries Insertion Query Rate Rate • E.g. intrusion detection, traffic scheduling l Most parallel approaches focus on one of the two (with the exception of recent work[1]) Memory consumption “Fast concurrent data sketches”, A. Ringerg, et al., PPoPP’ 20 3

  4. Our Work Delegation Sketch: A parallelization design for sketches Contributions: l Concurrent Insertions and queries , at high rates l Maintains high accuracy and low memory consumption l Scales better than state-of-the art on hundreds of cores 4

  5. Delegation Sketch Evaluation Background Delegation Sketch: Domain splitting ¢ Every key in the input domain is assigned an “ owner” sketch and inserted there ¢ Queries are fast and accurate: l every key is in a specific sketch Thread 1 Thread 2 Thread 3 . . . . . . Key 3 Key 3 Key 1 Key 1 Key 3 Key 2 Key 2 Key 1 Key 1 . . . . . . 5

  6. Delegation Sketch Evaluation Background Delegation Sketch: Delegation and Combining ¢ Threads aggregate multiple keys into filters locally, without communication ¢ Filters are the units of synchronization ¢ Full filters are delegated to the “owner” sketch Thread 1 Thread 2 Filter for Thread 1 and sketch X Filter for Thread 2 and sketch X Filters Allow: ¢ Disjoint access parallelism ¢ Coarse-grained communication List of full filters sketch X • Multiple producers • Single consumer (thread X) 6 Thread X

  7. Delegation Sketch Evaluation Background Evaluation Results Parameters: # threads & query rate 0.1% queries 0.2% queries 0.3% queries Delegation Sketch: ¢ 2-4X higher relative speedup at higher query rates ¢ Better scaling at higher query rates 7

  8. Delegation Sketch Evaluation Background Evaluation Results Accuracy Error for each key (lower is better) Delegation sketch: ¢ As accurate as the most accurate baseline All keys in the (single-shared) stream 8

  9. Delegation Sketch ¢ A parallelization scheme for high-rate traffic summarization ¢ Supports both insertions and queries ¢ Up to 2-4X higher throughput than next fastest baseline ¢ As accurate as the most accurate baseline 9

  10. Backup slides 10

  11. Delegation Sketch Evaluation Background Evaluation Results Parameter: input skew * 0.1% queries 0.0% queries Delegation Sketch: *Note: different y-axis range ¢ High throughput at medium-high skew, due to filters 11

  12. Delegation Sketch Evaluation Background Evaluation Results Query Latency 12

  13. Delegation Sketch Evaluation Background Accuracy Accuracy bounds for Delegation Sketch: 𝑔 𝑗 ≤ $ 𝑔 𝑗 ≤ 𝑔 𝑗 + 𝜗𝑂′ with probability 1 − 𝜀 𝑔 𝑗 : the true frequency of key i # 𝑔 𝑗 : the reported estimate for key i 𝜗 = e/w (w = number of buckets) 𝑂 ! = number of keys that hash to the same sketch 𝜀 = 𝑓 "# , d = number of rows 13

  14. Delegation Sketch Evaluation Background Accuracy 14

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