AN ORGANIZED ANALYSIS OF CLOUD FOG COMPUTING LOAD BALANCING SCHEDULING METHODS

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

The area of cloud computing is broad and expanding quickly in both industry and research. The main services are SaaS, PaaS, and IaaS. These are the primary determinants of end-customers’ use of cloud services. Virtualization via the internet can be used to make these services accessible to end users. The cloud offers numerous advantages, including pay-per-use, on-demand services, a flexible infrastructure, and large-scale computing. The largest issue with cloud computing is latency time, which is the total amount of time that passes between data sent by the Internet of Things over the cloud, processing time, and response to the IoT, or vice versa. Cloud computing is a broad topic that is expanding quickly in both industry and research. Equal load distribution, fault tolerance, and security are important issues. IoT devices generate a wide variety of data types that can be difficult for traditional systems and cloud systems to handle. Consequently, fog computing is a paradigm that helps improve existing systems. Similar to cloud computing but closer to the client, it provides processing, data accessibility, application-based services, and well-equipped storage. This survey article discusses in depth the framework of fog cloud computing networks, their heavy use in cutting-edge domains such as the haptic Internet, and a comparative study of load-balancing methods that increase the efficiency of fog cloud systems.

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Keywords

Fog Computing, Cloud Computing, Load Balancing and End Users.