Resource Provisioning in Cloud Computing using Fuzzy Logic Control System: An adaptive approach

Saif E.A. Alnawayseh; Muhammad Hassan Ghulam Muhammad; Zahid Hassan; Mayraj Fatima; Muhammad Shoukat Aslam; Amer Ibrahim; Karamath Ateeq

doi:10.1109/ICBATS57792.2023.10111481

Resource Provisioning in Cloud Computing using Fuzzy Logic Control System: An adaptive approach

Saif E.A. Alnawayseh
, Muhammad Hassan Ghulam Muhammad
, Zahid Hassan
, Mayraj Fatima
, Muhammad Shoukat Aslam
, Amer Ibrahim
, Karamath Ateeq

University of Mutah
NCBA&E
Applied Science Private University
University of Arid Agriculture Rawalpindi
American University in the Emirates

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

28 Scopus citations

Abstract

The need for cloud computing has been increasing widely in this era since last two decades due to its continual benefits include security, disaster recovery, increased collaboration, cost saving and virtualization etc. This innovation introduces an enormous transformation of conventional applications in business industry. However, cloud users indulge themselves not acquiring a sufficient amount of computing resources caused by resource confliction. A challenging and significant problem in cloud computing is Resource Provisioning in virtualization environment that relates with selecting, deploying and run time management of software and hardware resources. On the contrary, such situations also exist where resources are found in virtual servers either under or over-utilization. In order to deal with these problems, proposed framework in this paper is demonstrated using Fuzzy Logic Control System towards characterization the processes' priorities by means of employing input parameters (workload, processing time, and process age) keeping in view of the fact that expert judgment is required for taking into account these parameters.

Original language	English
Title of host publication	2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350335644
DOIs	https://doi.org/10.1109/ICBATS57792.2023.10111481
State	Published - 2023
Event	2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023 - Dubai, United Arab Emirates Duration: 7 Mar 2023 → 8 Mar 2023

Publication series

Name	2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

Conference

Conference	2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023
Country/Territory	United Arab Emirates
City	Dubai
Period	7/03/23 → 8/03/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Fuzzy Logic System
Resource Provisioning
cloud service & deployment models
hypervisor
virtualization

Access to Document

10.1109/ICBATS57792.2023.10111481

Cite this

Alnawayseh, S. E. A., Muhammad, M. H. G., Hassan, Z., Fatima, M., Aslam, M. S., Ibrahim, A., & Ateeq, K. (2023). Resource Provisioning in Cloud Computing using Fuzzy Logic Control System: An adaptive approach. In 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023 (2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICBATS57792.2023.10111481

Alnawayseh, Saif E.A. ; Muhammad, Muhammad Hassan Ghulam ; Hassan, Zahid et al. / Resource Provisioning in Cloud Computing using Fuzzy Logic Control System : An adaptive approach. 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023).

@inproceedings{c140912942f24251b6dd77aaee980982,

title = "Resource Provisioning in Cloud Computing using Fuzzy Logic Control System: An adaptive approach",

abstract = "The need for cloud computing has been increasing widely in this era since last two decades due to its continual benefits include security, disaster recovery, increased collaboration, cost saving and virtualization etc. This innovation introduces an enormous transformation of conventional applications in business industry. However, cloud users indulge themselves not acquiring a sufficient amount of computing resources caused by resource confliction. A challenging and significant problem in cloud computing is Resource Provisioning in virtualization environment that relates with selecting, deploying and run time management of software and hardware resources. On the contrary, such situations also exist where resources are found in virtual servers either under or over-utilization. In order to deal with these problems, proposed framework in this paper is demonstrated using Fuzzy Logic Control System towards characterization the processes' priorities by means of employing input parameters (workload, processing time, and process age) keeping in view of the fact that expert judgment is required for taking into account these parameters.",

keywords = "Fuzzy Logic System, Resource Provisioning, cloud service \& deployment models, hypervisor, virtualization",

author = "Alnawayseh, \{Saif E.A.\} and Muhammad, \{Muhammad Hassan Ghulam\} and Zahid Hassan and Mayraj Fatima and Aslam, \{Muhammad Shoukat\} and Amer Ibrahim and Karamath Ateeq",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023 ; Conference date: 07-03-2023 Through 08-03-2023",

year = "2023",

doi = "10.1109/ICBATS57792.2023.10111481",

language = "English",

series = "2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023",

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address = "United States",

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Alnawayseh, SEA, Muhammad, MHG, Hassan, Z, Fatima, M, Aslam, MS, Ibrahim, A & Ateeq, K 2023, Resource Provisioning in Cloud Computing using Fuzzy Logic Control System: An adaptive approach. in 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023. 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023, Dubai, United Arab Emirates, 7/03/23. https://doi.org/10.1109/ICBATS57792.2023.10111481

Resource Provisioning in Cloud Computing using Fuzzy Logic Control System: An adaptive approach. / Alnawayseh, Saif E.A.; Muhammad, Muhammad Hassan Ghulam; Hassan, Zahid et al.
2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Resource Provisioning in Cloud Computing using Fuzzy Logic Control System

T2 - 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

AU - Alnawayseh, Saif E.A.

AU - Muhammad, Muhammad Hassan Ghulam

AU - Hassan, Zahid

AU - Fatima, Mayraj

AU - Aslam, Muhammad Shoukat

AU - Ibrahim, Amer

AU - Ateeq, Karamath

PY - 2023

Y1 - 2023

N2 - The need for cloud computing has been increasing widely in this era since last two decades due to its continual benefits include security, disaster recovery, increased collaboration, cost saving and virtualization etc. This innovation introduces an enormous transformation of conventional applications in business industry. However, cloud users indulge themselves not acquiring a sufficient amount of computing resources caused by resource confliction. A challenging and significant problem in cloud computing is Resource Provisioning in virtualization environment that relates with selecting, deploying and run time management of software and hardware resources. On the contrary, such situations also exist where resources are found in virtual servers either under or over-utilization. In order to deal with these problems, proposed framework in this paper is demonstrated using Fuzzy Logic Control System towards characterization the processes' priorities by means of employing input parameters (workload, processing time, and process age) keeping in view of the fact that expert judgment is required for taking into account these parameters.

AB - The need for cloud computing has been increasing widely in this era since last two decades due to its continual benefits include security, disaster recovery, increased collaboration, cost saving and virtualization etc. This innovation introduces an enormous transformation of conventional applications in business industry. However, cloud users indulge themselves not acquiring a sufficient amount of computing resources caused by resource confliction. A challenging and significant problem in cloud computing is Resource Provisioning in virtualization environment that relates with selecting, deploying and run time management of software and hardware resources. On the contrary, such situations also exist where resources are found in virtual servers either under or over-utilization. In order to deal with these problems, proposed framework in this paper is demonstrated using Fuzzy Logic Control System towards characterization the processes' priorities by means of employing input parameters (workload, processing time, and process age) keeping in view of the fact that expert judgment is required for taking into account these parameters.

KW - Fuzzy Logic System

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KW - hypervisor

KW - virtualization

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M3 - Conference contribution

AN - SCOPUS:85160791553

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PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 7 March 2023 through 8 March 2023

ER -

Alnawayseh SEA, Muhammad MHG, Hassan Z, Fatima M, Aslam MS, Ibrahim A et al. Resource Provisioning in Cloud Computing using Fuzzy Logic Control System: An adaptive approach. In 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023). doi: 10.1109/ICBATS57792.2023.10111481

Resource Provisioning in Cloud Computing using Fuzzy Logic Control System: An adaptive approach

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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