Toward an autonomic approach for Internet of Things service placement using gray wolf optimization in the fog computing environment

2021 ◽  
Author(s):  
Mahboubeh Salimian ◽  
Mostafa Ghobaei‐Arani ◽  
Ali Shahidinejad
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Gray Wolf ◽  
Computing Environment ◽  
Service Placement

A Nature-Inspired-Based Multi-objective Service Placement in Fog Computing Environment

2021 ◽  
pp. 293-304
Author(s):  
Hemant Kumar Apat ◽  
Kunal Bhaisare ◽  
Bibhudatta Sahoo ◽  
Prasenjit Maiti
Keyword(s):  
Fog Computing ◽  
Computing Environment ◽  
Multi Objective ◽  
Service Placement

QoE-Based Multi-Criteria Decision Making for Resource Provisioning in Fog Computing Using AHP Technique

2020 ◽  
Vol 11 (4) ◽  
pp. 17-30
Author(s):  
Shefali Varshney ◽  
Rajinder Sandhu ◽  
P. K. Gupta
Keyword(s):  
Fog Computing ◽  
Resource Provisioning ◽  
Computing Environment ◽  
Network Bandwidth ◽  
Service Placement ◽  
Heterogeneous Nature ◽  
User Expectations ◽  
Iot Devices ◽  
Fog Network ◽  
Selection Of

Application placement in the fog environment is becoming one of the major challenges because of its distributed, hierarchical, and heterogeneous nature. Also, user expectations and various features of IoT devices further increase the complexity of the problem for the placement of applications in the fog computing environment. Therefore, to improve the QoE of various end-users for the use of various system services, proper placement of applications in the fog computing environment plays an important role. In this paper, the authors have proposed a service placement methodology for the fog computing environment. For a better selection of application services, AHP technique has been used which provides results in the form of ranks. The performance evaluation of the proposed technique has been done by using a customized testbed that considers the parameters like CPU cycle, storage, maximum latency, processing speed, and network bandwidth. Experimental results obtained for the proposed methodology improved the efficiency of the fog network.

scholarly journals An Optimal Task Assignment Strategy in Cloud-Fog Computing Environment

2021 ◽  
Vol 11 (4) ◽  
pp. 1909
Author(s):  
Jung-Fa Tsai ◽  
Chun-Hua Huang ◽  
Ming-Hua Lin
Keyword(s):  
Internet Of Things ◽  
Assignment Problem ◽  
Fog Computing ◽  
Task Assignment ◽  
The Internet ◽  
Computing Environment ◽  
Computing Systems ◽  
Assignment Strategy ◽  
The Internet Of Things ◽  
Task Assignment Problem

With the advent of the Internet of Things era, more and more emerging applications need to provide real-time interactive services. Although cloud computing has many advantages, the massive expansion of the Internet of Things devices and the explosive growth of data may induce network congestion and add network latency. Cloud-fog computing processes some data locally on edge devices to reduce the network delay. This paper investigates the optimal task assignment strategy by considering the execution time and operating costs in a cloud-fog computing environment. Linear transformation techniques are used to solve the nonlinear mathematical programming model of the task assignment problem in cloud-fog computing systems. The proposed method can determine the globally optimal solution for the task assignment problem based on the requirements of the tasks, the processing speed of nodes, and the resource usage cost of nodes in cloud-fog computing systems.

scholarly journals An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment

PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0224934 ◽  
Author(s):  
Saurabh Shukla ◽  
Mohd Fadzil Hassan ◽  
Muhammad Khalid Khan ◽  
Low Tang Jung ◽  
Azlan Awang
Keyword(s):  
Internet Of Things ◽  
Analytical Model ◽  
Fog Computing ◽  
Computing Environment

Secure Data Integrity Protocol for Fog Computing Environment

2019 ◽  
pp. 126-144
Author(s):  
Kashif Munir ◽  
Lawan Ahmed Mohammed
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
Fog Computing ◽  
Authentication Protocol ◽  
Smart Device ◽  
Computing Environment ◽  
Authentication Protocols ◽  
Iot Devices ◽  
Secure Authentication ◽  
Distributed Infrastructure

Fog computing is a distributed infrastructure in which certain application processes or services are managed at the edge of the network by a smart device. Fog systems are capable of processing large amounts of data locally, operate on-premise, are fully portable, and can be installed on heterogeneous hardware. These features make the fog platform highly suitable for time and location-sensitive applications. For example, internet of things (IoT) devices are required to quickly process a large amount of data. The significance of enterprise data and increased access rates from low-resource terminal devices demand reliable and low-cost authentication protocols. Lots of researchers have proposed authentication protocols with varied efficiencies. As a part of this chapter, the authors propose a secure authentication protocol that is strongly secure and best suited for the fog computing environment.

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