Feedback-Based Fuzzy Resource Management in IoT-Based-Cloud

Feedback-Based Fuzzy Resource Management in IoT-Based-Cloud

Basetty Mallikarjuna (Galgotias University, Greater Noida, India)
Copyright: © 2020 |Pages: 21
DOI: 10.4018/IJFC.2020010101
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The main aim of Internet of Things (IoT) is to get every “thing” (sensors, smart cameras, wearable devices, and smart home appliances) to connect to the internet. Henceforth to produce the high volume of data required for data processing between IoT devices, large storage and the huge number of applications to offer cloud computing as a service. The purpose of IoT-based-cloud is to manage the resources, and effective utilization of tasks in cloud. The end user applications are essential to enhance the QoS parameters. As per the QoS parameters, the service provider makes the speed up of tasks. There is a requirement for assigning responsibilities based on priority. The cloud services are increased to the network edge, and the planned model is under the Fog computing paradigm to reduce the makespan of time. The priority based fuzzy scheduling approach is brought by the dynamic feedback-based mechanism. The planned mechanism is verified with the diverse prevailing algorithms and evidenced that planned methodology is supported by effective results.
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1. Introduction

Cisco Company gave the word, “Fog Computing.” It is an example to work with IoT-based-cloud to improve efficient data processing in Fog computing architecture, which is a vital work. For reducing the energy consumption, latency to achieve QoS parameters, and for processing high data, Fog computing is used. In IoT-based-cloud environment (Konar, 2018), for resource management strategy, the IoT devices are used to communicate internet devices like gateways, ISP, MBS for continuous exchange of information. Numerous research works have been carried out in scheduling algorithms and Cloud computing load balancing (Bohn et al., 2011) algorithms, but there is no literature IoT-based-cloud atmosphere (Chang et al., 2015). Provisioning policy and resource management is necessary for shifting information to the hosts, tasks allocation to the resources, software proficient to run applications efficiently in IoT-based-cloud environment, and the administration of resource policy to manage and control the resources efficiently to IoT devices offering cloud services (Silva et al., 2018).

The word “cloud”, in Cloud computing (Giang et al., 2015) refers software application via network assembly (top in the sky, in general), the end user is the client (bottom of the earth, in general). The application of Fog computing is to save the information and process the data to cloud effectively and at edge instruments like IoT gadgets. Fog computing is a middle layer between IoT and the Cloud computing, which can allot the responsibilities to resources. Fog computing paradigm achieves the resource management method to progress the presentation, energy consumption (Bhadani et al., 2010), decrease the latency, decrease the makespan of time, and finding the VMs rate, which are the serious problems in the middle layer suitably organized in IoT-based-cloud atmosphere.

In this article, in fog computing paradigm, the planned resource management for execution of fuzzy approach, there are numerous resources such as memory, storage, VMs in data center. Numerous algorithms have been made for tasks allocation to the VMs in cloud computing, among which the main research is carried out in cloud computing by dynamic load balancing algorithms but there are few restrictions. And it has been verified with the two various environments such as MATLB and iFogSim. It pretends the planned model by using iFogSim toolkit and MATLAB fuzzy toolbox to simulate IoT-based cloud environment and to quantify the effect of resource management techniques in rate of the makespan, VMs, energy consumption, and the VMs rate.

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