TY - GEN
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
N1 - Publisher Copyright:
© 2023 IEEE.
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 - cloud service & deployment models
KW - Fuzzy Logic System
KW - hypervisor
KW - Resource Provisioning
KW - virtualization
UR - https://www.scopus.com/pages/publications/85160791553
UR - https://www.scopus.com/pages/publications/85160791553#tab=citedBy
U2 - 10.1109/ICBATS57792.2023.10111481
DO - 10.1109/ICBATS57792.2023.10111481
M3 - Conference contribution
AN - SCOPUS:85160791553
T3 - 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023
BT - 2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 March 2023 through 8 March 2023
ER -