Table 3 Scalability study of the proposed HPDDMOARS scheme and the benchmarked FP-MPSOCA, CSAMMAPA, EWOAMHM and NSGAMAP approaches.

From: Hybrid Prairie Dog and Dwarf Mongoose optimization algorithm-based application placement and resource scheduling technique for fog computing environment

Compared Mechanisms

Makespan (seconds) with different number of IoT application tasks

1000

1500

2000

2500

3000

NSGAMAP

175

206

276

312

298

EWOAMHM

181

199

224

342

398

CSAMMAPA

198

212

254

287

356

FP-MPSOCA

167

198

243

298

324

Proposed HPDDMOARS

153

189

213

254

289

 

Energy (Kw/h) with different number of IoT application tasks

1000

1500

2000

2500

3000

NSGAMAP

623

786

865

942

998

EWOAMHM

589

690

856

989

943

CSAMMAPA

754

743

876

942

932

FP-MPSOCA

673

765

812

912

931

Proposed HPDDMOARS

564

675

798

894

911