pdf seminar report fog computing

Abstract

Fog computing or fog networking, also known as fogging,is an architecture that uses one or a collaborative multitude of end-user clients or near-user edge devices to carry out a substantial amount of storage (rather than stored primarily in cloud data centers), communication (rather than routed over the internet backbone), and control, configuration, measurement and management (rather than controlled primarily by network gateways such as those in the LTE (telecommunication) core).Fog computing can be perceived both in large cloud systems and big data structures, making reference to the growing difficulties in accessing information objectively. This results in a lack of quality of the obtained content. The effects of fog computing on cloud computing and big data systems may vary; yet, a common aspect that can be extracted is a limitation in accurate content distribution, an issue that has been tackled with the creation of metrics that attempt to improve accuracy.

Introduction

Fog networking consists of a control plane and a data plane. For example, on the data plane, fog computing enables computing services to reside at the edge of the network as opposed to servers in a data-center. Compared to cloud computing, fog computing emphasizes proximity to end-users and client objectives, dense geographical distribution and local resource pooling, latency reduction for quality of service (QoS) and edge analytics/stream mining, resulting in superior user-experience and redundancy in case of failure.Fog networking supports the Internet of Everything (IoE), in which most of the devices that we use on a daily basis will be connected to each other. Examples include our phones, wearable health monitoring devices, connected vehicle and augmented reality using devices such as the Google Glass.ISO/IEC 20248 provides a method whereby the data of objects identified by edge computing using Automated Identification Data Carriers [AIDC], a barcode and/or RFID tag, can be read, interpreted, verified and made available into the "Fog" and on the "Edge" even when the AIDC tag has moved on.

Fog computing, also known as fogging, is a distributed computing infrastructure in which some application services are handled at the network edge in a smart device and some application services are handled in a remote data center -- in the cloud. The goal of fogging is to improve efficiency and reduce the amount of data that needs to be transported to the cloud for data processing, analysis and storage. This is often done for efficiency reasons, but it may also be carried out for security and compliance reasons.

In a fog computing environment, much of the processing takes place in a data hub on a smart mobile device or on the edge of the network in a smart router or other gateway device. This distributed approach is growing in popularity because of the Internet of Things (IoT) and the immense amount of data that sensors generate. It is simply inefficient to transmit all the data a bundle of sensors creates to the cloud for processing and analysis; doing so requires a great deal of bandwidth and all the back-and-forth communication between the sensors and the cloud can negatively impact performance. Although latency may simply be annoying when the sensors are part of a gaming application, delays in data transmission can be life-threatening if the sensors are part of a vehicle-to-vehicle communication system or large-scale distributed control system for rail travel.

The term fog computing is often associated with Cisco. "Cisco Fog Computing" is a registered name; “fog computing” is open to the community at large. The choice of the word "fog" is meant to convey the idea that the advantages of cloud computing can -- and should -- be brought closer to the data source. (In meteorology, fog is simply a cloud that is close to the ground.)