Virtual Machine Consolidation with Multi-Step Prediction and Affinity-Aware Technique for Energy-Efficient Cloud Data Centers
Source abstract
Abstract
Virtual machine (VM) consolidation is an effective way to improve resource utilization and reduce energy consumption in cloud data centers. Most existing studies have considered VM consolidation as a bin-packing problem, b... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Cloud Computing and Resource Management · IoT and Edge/Fog Computing · Software-Defined Networks and 5G
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (44)
Show source-provided references
1. A service level agreement aware online algorithm for virtual machine migration10.32604/cmc.2023.031344 ↗
2. A systematic review on effective energy utilization management strategies in cloud data centers
3. A systematic survey on energy-efficient techniques in sustainable cloud computing10.3390/su14106256 ↗
4. Trends in data centre energy consumption under the European code of conduct for data centre energy efficiency10.3390/en10101470 ↗
5. Data centers in the cloud: A large scale performance study
6. Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform
7. Applying reinforcement learning towards automating energy efficient virtual machine consolidation in cloud data centers10.1016/j.is.2021.101722 ↗
8. Energy-aware virtual machine consolidation based on evolutionary game theory10.1002/cpe.6830 ↗
9. Dynamic virtual machine consolidation algorithm based on balancing energy consumption and quality of service10.1109/ACCESS.2022.3194514 ↗
10. MAGNETIC: Multi-agent machine learning-based approach for energy efficient dynamic consolidation in data centers10.1109/TSC.2019.2919555 ↗
11. Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers10.1002/cpe.1867 ↗
12. Dynamic virtual machine relocation system for energy-efficient resource management in the cloud
13. Interval-valued fuzzy logic approach for overloaded hosts in consolidation of virtual machines in cloud computing10.1016/j.fss.2021.03.001 ↗
14. Robust virtual machine consolidation for efficient energy and performance in virtualized data centers
15. An on-line virtual machine consolidation strategy for dual improvement in performance and energy conservation of server clusters in cloud data centers10.1109/TSC.2019.2961082 ↗
16. Adaptive DRL-based virtual machine consolidation in energy-efficient cloud data center
17. A virtual machine consolidation algorithm based on dynamic load mean and multi-objective optimization in cloud computing
18. Optimizing energy consumption with task consolidation in clouds10.1016/j.ins.2012.10.041 ↗
19. I-Neat: An intelligent framework for adaptive virtual machine consolidation10.26599/TST.2020.9010033 ↗
20. Probabilistic consolidation of virtual machines in self-organizing cloud data centers10.1109/TCC.2013.17 ↗
21. Minimizing SLA violation and power consumption in cloud data centers using adaptive energy-aware algorithms10.1016/j.future.2017.07.048 ↗
22. Prediction-based underutilized and destination host selection approaches for energy-efficient dynamic VM consolidation in data centers10.1007/s11227-020-03248-4 ↗
23. Energy-aware consolidation algorithm based on K-nearest neighbor regression for cloud data centers
24. Embedding individualized machine learning prediction models for energy efficient VM consolidation within Cloud data centers10.1016/j.future.2020.01.008 ↗
25. Cloudsim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms10.1002/spe.995 ↗
26. An optimization of virtual machine selection and placement by using memory content similarity for server consolidation in cloud10.1016/j.future.2018.02.026 ↗
27. Integrating VM selection criteria in distributed dynamic VM consolidation using fuzzy Q-learning
28. An iterative budget algorithm for dynamic virtual machine consolidation under cloud computing environment
29. Power-aware and performance-guaranteed virtual machine placement in the cloud10.1109/TPDS.2018.2794369 ↗
30. A mathematical programming approach for server consolidation problems in virtualized data centers10.1109/TSC.2010.25 ↗
31. Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing10.1016/j.future.2011.04.017 ↗
32. Sercon: Server consolidation algorithm using live migration of virtual machines for green computing10.4103/0256-4602.81230 ↗
33. LiRCUP: Linear regression based CPU usage prediction algorithm for live migration of virtual machines in data centers
34. Dynamic placement of virtual machines for managing sla violations
35. Energy-aware and multi-resource overload probability constraint-based virtual machine dynamic consolidation method10.1016/j.future.2017.09.075 ↗
36. Energy-efficient and quality-aware VM consolidation method10.1016/j.future.2019.08.004 ↗
37. Optimal virtual machine placement based on grey wolf optimization10.3390/electronics8030283 ↗
38. Empirical prediction models for adaptive resource provisioning in the cloud10.1016/j.future.2011.05.027 ↗
39. On Edgeworth’s method for minimum absolute error linear regression10.1109/78.301827 ↗
40. Research of a new method for solving linear regression
41. Power and performance management of virtualized computing environments via lookahead control10.1007/s10586-008-0070-y ↗
42. CoMon: A mostly-scalable monitoring system for planetLab10.1145/1113361.1113374 ↗
43. Literature survey: Statistical characteristics of google cluster trace
44. A three-dimensional virtual resource scheduling method for energy saving in cloud computing10.1016/j.future.2016.10.034 ↗