Abstract:
Cloud computing is an interested and big
developing computing technology that maintain data
servers and service huge applications to provide end
users in many different organization. Although cloud
computing gives many benefits of service, but it can
hardly accurate the requirements of end users in
humans’ daily lives. A new computing paradigm
called Fog Computing which is an emerging as a
necessary and popular computing paradigm to
perform Internet of Things (IoT). Fog computing is a
middle layer of cloud and IoT. When fog computing
is insufficient for the resource requirements of IoT,
cloud computing can assist fog computing to get a
handle of intensive applications. The IoT applications
could choose fog or cloud computing nodes for
responding to the resource requirements. Scheduling
and load balancing algorithms are necessary for
efficient and effective utilization of resources. This
paper presents the survey of scheduling and load
balancing algorithms in cloud and fog computing
environment by using swarm-based optimization
techniques.
