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VCTL Perf IISWC2011 Slides

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(1)

A Performance study on

Operator-based stream

processing systems

Miyuru Dayarathna, Souhei Takeno, Toyotaro Suzumura

Department of Computer Science Tokyo Institute of Technology

Japan

(2)

Stream Computing Systems

Insights from data in motion

◦ It is impossible to store data on disk

◦ The volume of the data is very large

Process data on-the-fly in-memory

OP 1

OP 2

OP 3

OP 4 Route keyless

input events

Join the serve

and click events BotFilter Compute the correct click throughput rate

(3)

Essence of our Performance

Study

System S (IBM) and S4 (Yahoo)

Four benchmarks (60 application Scenarios)

Five metrics

(4)

Results - Throughput

0 2 4 6 8 10 12

0 2 4 6 8 10 12 14

Throughput (Events\s)Thousands

Number of Nodes

Throughput observed for four applications on S4

CDR Optimized VWAP Twitter Micro-benchmark

CDR

0 20 40 60 80 100 120 140

0 2 4 6 8 10 12 14

Throughput (Tuples\s)Thousands

Number of Nodes

Throughput observed for five applications on System S

CDR VWAP

Micro-benchmark CDR Optimized Twitter

(c) (d)

(5)

Essence of our Performance

Study

System S (IBM) and S4 (Yahoo)

Four benchmarks (60 application Scenarios)

Five metrics

Conclusions on Stream Processing system architectures

参照

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