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Table 1 Scalability experiment results

From: SIA: a scalable interoperable annotation server for biomedical named entities

Parallelism

Processing time (s)

Throughput (doc/s)

Improvement

1

8.151

25

 

2

4.551

46

\(1.79{\times }\)

3

3.412

61

\(2.39{\times }\)

4

3.032

68

\(2.69{\times }\)

5

2.712

77

\(3.01{\times }\)

  1. Processing times with varying degree of parallelism, analyzing 207.551 PubMed articles with all internal annotators (SETH, mirNer, Linnaues, Banner, DiseaseNer) and ChemSpot using a single instance of SIA