۱- INTRODUCTION

۲- BACKGROUND KNOWLEDGE AND MOTIVATION

۳- OFFLOADING APPROACH

۴- CONCLUSION

REFERENCES

Abstract

Cloud computing is an important computing paradigm for handling all types of computations, even the smaller ones in the past. But sometimes, it becomes ineffective when the task is to be done in real-time, with very low latency. Therefore, fog computing was introduced as a supplement computing paradigm for cloud computing. Internet of Things based applications perform better with the amalgamation of its and the fog computing. Due to low capacity, when fog can’t compute the task on its own, heavy computations are offloaded from fog to cloud. But when to offload the task from fog to cloud is a major decision. The decision is to be made out to offload the tasks from fog to cloud is very crucial, so this paper presents an idea to solve this problem.

INTRODUCTION

With the advancement in the technology area, more and more electronically enabled devices, which are capable are connecting with the internet, so the Internet of Things (IoT) devices are increasing day by day. These devices are communicating with each other, so basically, they are generating lots of data [1]. Because of this, the burden on cloud computing to solve computations and to provide the result back in a given time was also increasing day by day. Cloud computing is an important computing paradigm to handle heavy scientific workflows by providing infinite virtual resources but doesn’t work well where latency requirement is low [2]. There may be a case where latency-sensitive applications demand results back in real-time. Cloud may provide an accurate result, but it may return the result late, which may diminish the whole objective. To solve this issue, fog computing was introduced in 2014 [3]. Fog computing is an online computing paradigm to solve low complexity problems in real-time. It was introduced as a supplement to cloud computing.