Scheduling and Load Balancing in Cloud-Fog Computing using Swarm Optimization Techniques: A Survey

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.