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Table 3 A summary of the results for the secure outsourcing tasks

From: Protecting genomic data analytics in the cloud: state of the art and opportunities

Task 1.1

 

MAF

\( {\chi}^2 \)

311 SNPs

610 SNPs

311 SNPs

610 SNPs

Time

Memory

Time

Memory

Time

Memory

Time

Memory

Microsoft

17.44 s

130.48 MB

26.31 s

247.30 MB

16.88 s

118.08 MB

27.11 s

234.73 MB

UCIa

0.589 s

3.320 MB

0.886 s

3.320 MB

0.659 s

3.320 MB

0.871 s

3.320 MB

Stanford/MIT

1.069 s

8.0 MB

1.847 s

13.0 MB

1.069 s

8.0 MB

1.847 s

13.0 MB

U of Tsukuba

55.20s

31.81 MB

112.32 s

32.67 MB

55.21 s

31.81 MB

112.32 s

32.67 MB

Task 1.2 (a)

 

5 k

10 k

100 k

Accuracy

Time

Memory

Accuracy

Time

Memory

Accuracy

Time

Memory

Plaintext data

3099

0.076 s

1.64 MB

3306

0.118 s

2.43 MB

134252

134252

13.52 MB

IBM

3099

79.4 s

1.416 GB

3306

86.8 s

1.419 GB

134260

134260

2.168 G

Microsoft

3099

44.664 s

513.7 MB

3306

80.031 s

720.5 MB

   

Stanford/MIT

3082

20m37s

2.77 GB

3275

36m27s

4.03 GB

132703

132703

7.50 GB

Task 1.2 (b)

 

5 k

10 k

100 k

Accuracy

Time

Memory

Accuracy

Time

Memory

Accuracy

Time

Memory

Plaintext data

9089

0.106 s

2.45 MB

16667

0.144 s

2.53 MB

191986

1.528 s

25.8 MB

IBMb

5328

91.7 s

1.42 GB

8318

106.3 s

1.45 GB

153266

555.2 s

2.29 GB

Microsoft

9089

91.09 s

701 MB

16665

181.92 s

1.29 GB

   
  1. aThe algorithm encrypts local counts instead of input data for secure data outsourcing, and was disqualified in the competition
  2. bAn approximate algorithm (with about 22 % error), which was not considered in the competition
  3. Winners are in boldface
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BMC Medical Genomics

ISSN: 1755-8794

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