Large-Scale Data Streaming in Fog Computing and Its Applications

Abstract

The emerging trends in fog computing have increased the interests and focus in both industry and academia. Fog computing extends cloud computing facilities like the storage, networking, and computation towards the edge of networks wherein it offloads the cloud data centres and reduces the latency of providing services to the users. This paradigm is like cloud in terms of data, storage, application, and computation services, except with a fundamental difference: it is decentralized. Furthermore, these fog systems can process huge amounts of data locally and can be installed on hardware of different types. These characteristics make fog suitable for time- and location-based applications like internet of things (IoT) devices which can process large amounts of data. In this chapter, the authors present fog data streaming, its architecture, and various applications.

Two-Stage Optimal Task Scheduling for Smart Home Environment Using Fog Computing Infrastructures

“…For all VMs, P(tk = compatible) is constant and obtained according to Equation (7). If (resource capacity of VMs > resource capacity of task): P(tk = compatible) = 1.…”

“…Figure 1 shows the fog-cloud architecture for smart homes. The fog computing architecture is divided into three layers [7]: The end device (IoT) layer contains the end devices such as smart phones, computers, vehicles, smart equipment, wearables, and smart home appliances. The second layer is the fog layer (middle layer), which includes fog devices such as gateways, routers, switches, and workstations.…”

Boudin Types, Their Morphology and Significance in Interpreting Deformational History in Proterozoic Rocks of North Delhi Fold Belt, North Western India

“…Symmetry of boudinaged clasts too depends on competency contrast between the matrix and clast in some cases, and on the degrees of slip of inter-boudin surfaces and pure shear [41]. Generally, the boudins in the Neem ka thana belt are non oriented, symmetrical, and modified and complex structures [42] [43], hence do not help as direct shear sense indicators, and comparable with the bulk shear sense. However few instances of conjugate shears depicting both dextral and sinistral sense of shearing have been observed.…”

Fog computing: A taxonomy, systematic review, current trends and research challenges

“…The authors also working on the authentication and secure data transfer using the concept of end-to-end encryption for Fog-IoT nodes. Sharma and Anusha [102] proposed a large-scale data streaming in fog computing and its applications presented the method for large scale data streaming architecture and its many application in the fog computing environment. The authors have worked on processing a large amount of data at local nodes on the different types of hardware resources as per their availability.…”