Table 21 Percentage improvement in fault datasets.

From: NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments

Dataset

HTSFFDRL

(%)

NF-A2C

(%)

DDPG-TS

(%)

DQN-TS+

(%)

GA-TS

(%)

NF-MORL

(%)

100

10.423

35.294

34.282

33.475

30.586

16.975

150

12.94

16.346

36.118

17.435

33.205

32.45

200

16.768

32.832

26.501

21.246

16.132

15.054

250

18

14.157

30.825

26.754

17.965

10.624

300

21.82

14.339

34.254

14.316

29.689

18.581

350

23.643

20.405

36.045

28.431

32.457

28.16

400

18.712

24.344

31.24

22.406

16.055

28.899

450

26.526

35.421

27.364

29.156

12.113

36.84

500

20.211

12.104

22.854

12.242

12.97

21.929

550

19.523

21.308

29.388

32.543

13.389

22.368

600

16.205

16.108

21.716

27.987

10.108

29.581

650

36.797

33.418

19.169

25.882

26.924

13.304

700

23.643

13.429

22.029

27.103

15.152

34.811

750

23.151

10.293

14.429

14.713

20.55

33.536

800

21.843

30.948

30.163

17.357

33.138

32.619

850

35.281

11.551

33.406

32.709

34.287

26.036

900

21.428

17.4

25.988

24.166

26.014

22.654

950

24.832

28.284

10.932

25.077

15.889

23.167

1000

20.048

13.989

17.566

22.08

31.765

31.62

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