IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

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

Feedback-Based Fuzzy Resource Management in IoT-Based-Cloud
View Sample PDF
Author(s): Basetty Mallikarjuna (Galgotias University, Greater Noida, India)
Copyright: 2020
Volume: 3
Issue: 1
Pages: 21
Source title: International Journal of Fog Computing (IJFC)
Editor(s)-in-Chief: Sam Goundar (Victoria University of Wellington, New Zealand) and Kashif Munir (National College of Business Administration & Economics, Pakistan)
DOI: 10.4018/IJFC.2020010101

Purchase

View Feedback-Based Fuzzy Resource Management in IoT-Based-Cloud on the publisher's website for pricing and purchasing information.

Abstract

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.

Related Content

Hewan Shrestha, Puviyarai T., Sana Sodanapalli, Chandramohan Dhasarathan. © 2021. 17 pages.
Kelly M. Torres, Aubrey Statti. © 2021. 19 pages.
Sana Sodanapalli, Hewan Shrestha, Chandramohan Dhasarathan, Puviyarasi T., Sam Goundar. © 2021. 15 pages.
Basetty Mallikarjuna. © 2020. 21 pages.
William Tichaona Vambe, Chii Chang, Khulumani Sibanda. © 2020. 19 pages.
Basetty Mallikarjuna. © 2020. 23 pages.
Minal Parimalbhai Patel, Sanjay Chaudhary. © 2020. 11 pages.
Body Bottom