Data from RACE: Resource Aware Cost-Efficient Scheduler for Cloud Fog Environment

The quality of human life increases with increased usage of the Internet
of Things (IoT). However, this massive use of IoT produces a large amount
of data which creates a problem for data storage and analysis. Cloud
computing is used to solve such issues like storage and processing
requirements for data generated by IoT. However, several applications like
traffic control, health observation, and games, etc., are time-sensitive
and need a quick response. The delay created by sending data to the Cloud
and then returning the Server response to the user of such programs has an
unintended impact. To overwhelmed these limitations, the Fog computing
concept was launched in 2012. Fog computing is an elongation of Cloud
computing in which user services are extended to networking devices. In
recent times the Fog computing is considered as a favorable approach to
cope with the delay-sensitive applications. Moreover, Fog computing in
combination with the Cloud computing model can also provide promising
solutions to deal with compute-intensive applications. The scheduling
challenges faced by the Fog service provider are to fulfill user requests
with the maximum resource utilization of Fog devices while reducing the
monetary cost of Cloud resource usage. In this research, a resource-aware
scheduler has been proposed to distribute the incoming application modules
to Fog devices that maximize resource utilization at the Fog layer,
reduces the monetary cost of using Cloud resources with minimum execution
time of applications, and minimum bandwidth usage. The proposed scheduler
Resource Aware Cost-Efficient Scheduler (RACE) consists of two algorithms:
ModuleScheduler: which categorizes the incoming application modules
according to their computation and bandwidth requirements. The
ModuleScheduler also creates a prioritized list considering the categories
of application modules. Compare Module: Finds the suitable Fog device for
modules execution in the prioritized list. The proposed scheduler (RACE)
schedule the modules at the Fog layer based on their computation
requirement and bandwidth requirement until the devices at the Fog layer
have enough CPU capacity to accommodate the modules.