Workload Allocation Toward Energy Consumption-Delay Trade-Off in Cloud-Fog Computing Using Multi-Objective NPSO Algorithm
The Internet of Things (IoT) generates massive data from smart devices that demand
responses from cloud servers. However, sending tasks to the cloud reduces the power
consumed by the users' devices, but increases the transmission delay of the tasks. In
contrast, sending tasks to the fog server reduces the transmission delay due to the shorter
distance between the user and the server. However, this occurs at the user end's expense of
higher energy consumption. Thus, this study proposes a mathematical framework for …
responses from cloud servers. However, sending tasks to the cloud reduces the power
consumed by the users' devices, but increases the transmission delay of the tasks. In
contrast, sending tasks to the fog server reduces the transmission delay due to the shorter
distance between the user and the server. However, this occurs at the user end's expense of
higher energy consumption. Thus, this study proposes a mathematical framework for …
[PDF][PDF] Workload Allocation Toward Energy Consumption-Delay Trade-Off in Cloud-Fog Computing Using Multi-Objective NPSO Algorithm
MA ALRSHAH, S KAMARUDIN - academia.edu
ABSTRACT The Internet of Things (IoT) generates massive data from smart devices that
demand responses from cloud servers. However, sending tasks to the cloud reduces the
power consumed by the users' devices, but increases the transmission delay of the tasks. In
contrast, sending tasks to the fog server reduces the transmission delay due to the shorter
distance between the user and the server. However, this occurs at the user end's expense of
higher energy consumption. Thus, this study proposes a mathematical framework for …
demand responses from cloud servers. However, sending tasks to the cloud reduces the
power consumed by the users' devices, but increases the transmission delay of the tasks. In
contrast, sending tasks to the fog server reduces the transmission delay due to the shorter
distance between the user and the server. However, this occurs at the user end's expense of
higher energy consumption. Thus, this study proposes a mathematical framework for …
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