Table 1.

Summary of the related work.

Techniques	Considers Service Delays?					Considers Energy Consumption?			Task Partitioning Considered?	Multi-User Multi-Server Considered?	Deep Learning Approach?
	Transmission ${\mathit{d}}_{\mathbf{ti}}$	Execution ${\mathit{d}}_{\mathbf{ei}}$, ${\mathit{d}}_{\mathbf{li}}$	Reception ${\mathit{d}}_{\mathbf{ri}}$	Partitioning ${\mathit{d}}_{\mathbf{di}}$	Propagation ${\mathit{d}}_{\mathbf{pi}}$	Transmission ${\mathit{E}}_{\mathbf{ti}}$, ${\mathit{E}}_{\mathbf{li}}$	Reception ${\mathit{E}}_{\mathbf{ri}}$	Partitioning ${\mathit{E}}_{\mathbf{di}}$
MDP-based VIA Technique [16]	Yes	Yes	Yes	No	No	No	No	No	No	Yes	No
Reliability-aware Offloading [17]	Yes	Yes	Yes	No	No	Yes	Yes	No	No	Yes	No
Traditional Optimization Techniques [18,19]	Yes	Yes	No	No	No	Yes	No	No	No	No	No
Energy Harvesting Techniques [20,21,22,25,26,27]	Yes	Yes	No	No	No	Yes	No	No	No	No	No
Genetic Algorithm -based Offloading [30]	Yes	Yes	No	No	No	Yes	No	No	No	Yes	No
Offloading of DNN-driven Applications [31]	Yes	Yes	No	No	Yes	Yes	No	No	No	Yes	No
Offloading for OCR Case [32]	Yes	Yes	No	No	Yes	No	No	No	Yes	No	No
Game Theoretic Approach [34]	No	No	No	No	No	Yes	Yes	No	No	Yes	No
Energy Efficiency-based Offloading [35,37,41]	Yes	Yes	No	No	No	No	No	No	No	Yes	Yes
Cost Function-based Offloading [36,38]	Yes	Yes	Yes	No	No	Yes	Yes	No	No	Yes	Yes
Cost Function-based Offloading [39,40]	Yes	Yes	No	No	No	Yes	No	No	No	No	Yes
Our Proposed Technique (CEDOT)	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes	Yes