Performance Analysis of Cloud and Fog Computing at Emporium

Abstract

Cloud computing refers to manipulating, configuring, and accessing the hardware and software resources remotely. It offers online data storage, infrastructure, and application. Cloud computing offers platform independency, as the software is not required to be installed locally on the PC. Hence, the Cloud computing is making business applications mobile and collaborative. Fog computing facilitates the operation of compute, storage and networking services between end devices and cloud computing data centers. Fog computing, also known as fog networking, is a decentralized computing infrastructure in which computing resources and application services are distributed in the most logical, efficient place at any point along the continuum from the data source to the cloud. In a fog environment, the processing takes place in a data hub on a smart device, or in a smart router or gateway, thus reducing the amount of data sent to the cloud. It is important to note that fog networking complements not replaces cloud computing; fogging allows for short-term analytics at the edge, and the cloud performs resource-intensive, longer-term analytics. Emporiums generate a large amount of data from thousands of sensors that it can be useful for monitoring and analyzing, transferring data from sensors to cloud and then giving a feedback to end user so, this could be a problem at emporium because of high delay. Fog computing consider to be temporally near to the sensor; thus will decrease delay. The performance analysis of both architecture is done using iFog simulator in order to know which is the best.

Keywords: Cloud, Fog, iFog simulator.

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