DTFA: A Dynamic Threshold-Based Fuzzy Approach for Power-Efficient VM Consolidation

Alsadie, D, Alzahrani, E, Sohrabi, N and Tari, Z 2018, 'DTFA: A Dynamic Threshold-Based Fuzzy Approach for Power-Efficient VM Consolidation', in 17th IEEE International Symposium on Network Computing and Applications (NCA), Cambridge, MA (USA), 1-3 November 2018, pp. 1-9.


Document type: Conference Paper
Collection: Conference Papers

Title DTFA: A Dynamic Threshold-Based Fuzzy Approach for Power-Efficient VM Consolidation
Author(s) Alsadie, D
Alzahrani, E
Sohrabi, N
Tari, Z
Year 2018
Conference name International Symposium on Network Computing and Applications (NCA)
Conference location Cambridge, MA (USA)
Conference dates 1-3 November 2018
Proceedings title 17th IEEE International Symposium on Network Computing and Applications (NCA)
Publisher IEEE
Place of publication USA
Start page 1
End page 9
Total pages 9
Abstract Dynamic virtual machine (VM) consolidation is considered an effective approach for improving power consumption and computing resource utilization in cloud-based data centers. However, the ever-changing workload in a data center makes it difficult for VM consolidation to prevent service level agreement (SLA) violations and optimize power consumption. Detection of overutilized and underutilized physical machines (PMs) plays a significant role in effective VM consolidation, immediately improving resource utilization, SLA violations, and power consumption. This paper presents a new proposal for the dynamic adjustment of threshold values that aims to minimize the number of migrations in varying workload environments. The proposed approach, named the `dynamic threshold-based fuzzy approach' (DTFA), is a fuzzy threshold-based approach used for adjusting the threshold values of PMs in a cloud environment. The proposed approach allows the number of migrations caused by overloading to be reduced and SLAs to be met. Three sets of experiments with different workloads were conducted to validate the proposed approach. The results demonstrate that DTFA outperforms existing solutions by an average of 22.52%, 45.63% and 56.68% in power consumption, VM migration count, and SLA violations, respectively.
Subjects Distributed and Grid Systems
Keyword(s) Scalability
Resource management
Virtual Machine Consolidation
Cloud
DOI - identifier 10.1109/NCA.2018.8548162
Copyright notice © 2018 IEEE
ISBN 9781538676592
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 20 Abstract Views  -  Detailed Statistics
Created: Tue, 26 Mar 2019, 09:36:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us