- Home
- Publications
- Publication Search
- Publication Details
Title
Utilization prediction-based VM consolidation approach
Authors
Keywords
-
Journal
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
Volume 170, Issue -, Pages 24-38
Publisher
Elsevier BV
Online
2022-08-18
DOI
10.1016/j.jpdc.2022.08.001
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- SLO-aware dynamic self-adaptation of resources
- (2022) Mirna Awad et al. Future Generation Computer Systems-The International Journal of eScience
- A survey of data center consolidation in cloud computing systems
- (2021) Leila Helali et al. Computer Science Review
- Comprehensive survey on energy-aware server consolidation techniques in cloud computing
- (2021) Nisha Chaurasia et al. JOURNAL OF SUPERCOMPUTING
- Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers
- (2020) Sun-Yuan Hsieh et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- Adaptive virtual machine consolidation framework based on performance-to-power ratio in cloud data centers
- (2020) Weichao Ding et al. Future Generation Computer Systems-The International Journal of eScience
- Energy-efficient and quality-aware VM consolidation method
- (2019) Zhihua Li et al. Future Generation Computer Systems-The International Journal of eScience
- Adaptive selection of dynamic VM consolidation algorithm using neural network for cloud resource management
- (2018) Joseph Nathanael Witanto et al. Future Generation Computer Systems-The International Journal of eScience
- A Survey on Virtual Machine Migration: Challenges, Techniques, and Open Issues
- (2018) Fei Zhang et al. IEEE Communications Surveys and Tutorials
- Optimization of live virtual machine migration in cloud computing: A survey and future directions
- (2018) Mostafa Noshy et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Approaches for optimizing virtual machine placement and migration in cloud environments: A survey
- (2018) Manoel C. Silva Filho et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- A Prediction-based VM Consolidation Approach in IaaS Cloud Data Centers
- (2018) Tarek Mahdhi et al. JOURNAL OF SYSTEMS AND SOFTWARE
- Survey on prediction models of applications for resources provisioning in cloud
- (2017) Maryam Amiri et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A Study about Kalman Filters Applied to Embedded Sensors
- (2017) Aurélien Valade et al. SENSORS
- Virtual Machine Consolidation with Multiple Usage Prediction for Energy-Efficient Cloud Data Centers
- (2017) Trung Hieu Nguyen et al. IEEE Transactions on Services Computing
- Energy-Efficient Algorithms for Dynamic Virtual Machine Consolidation in Cloud Data Centers
- (2017) Mohammad Ali Khoshkholghi et al. IEEE Access
- Adaptive Resource Provisioning for Virtualized Servers Using Kalman Filters
- (2014) Evangelia Kalyvianaki et al. ACM Transactions on Autonomous and Adaptive Systems
- An energy-saving algorithm for cloud resource management using a Kalman filter
- (2013) Da-Jing Zhang-Jian et al. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
- (2011) Anton Beloglazov et al. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
- CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
- (2010) Rodrigo N. Calheiros et al. SOFTWARE-PRACTICE & EXPERIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started