Arroba et al., 2018
ViewPDF| Publication | Publication Date | Title |
|---|---|---|
| Arroba et al. | Dynamic Voltage and Frequency Scaling‐aware dynamic consolidation of virtual machines for energy efficient cloud data centers | |
| Beloglazov et al. | Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers | |
| Ilager et al. | ETAS: Energy and thermal‐aware dynamic virtual machine consolidation in cloud data center with proactive hotspot mitigation | |
| Arroba et al. | Heuristics and metaheuristics for dynamic management of computing and cooling energy in cloud data centers | |
| Lee et al. | Proactive thermal-aware resource management in virtualized HPC cloud datacenters | |
| Javadpour et al. | Power curtailment in cloud environment utilising load balancing machine allocation | |
| Hasan et al. | Heuristic based energy-aware resource allocation by dynamic consolidation of virtual machines in cloud data center. | |
| Wang et al. | Increasing large-scale data center capacity by statistical power control | |
| Ismail | Energy-driven cloud simulation: existing surveys, simulation supports, impacts and challenges | |
| Nasim et al. | Robust optimization for energy-efficient virtual machine consolidation in modern datacenters | |
| Geronimo et al. | Provisioning, resource allocation, and DVFS in green clouds | |
| Islam et al. | Distributed temperature-aware resource management in virtualized data center | |
| Ludwig et al. | Optimizing multi‐tier application performance with interference and affinity‐aware placement algorithms | |
| Song et al. | Multi-objective virtual machine selection for migrating in virtualized data centers | |
| Kaushar et al. | Comparison of SLA based energy efficient dynamic virtual machine consolidation algorithms | |
| Gabhane et al. | An improved multi-objective eagle algorithm for virtual machine placement in cloud environment | |
| Yu et al. | Constraint programming-based virtual machines placement algorithm in datacenter | |
| Wang et al. | A Bayesian game formulation of power dissipation and response time minimization in a mobile cloud computing system | |
| Akbar et al. | A Shapley value-based thermal-efficient workload distribution in heterogeneous data centers | |
| Thakkar et al. | Experimenting with energy efficient vm migration in IaaS cloud: Moving towards green cloud | |
| Leite et al. | Power‐aware server consolidation for federated clouds | |
| Ali et al. | Communication and aging aware application mapping for multicore based edge computing servers | |
| Zola et al. | Optimising for energy or robustness? Trade-offs for VM consolidation in virtualized datacenters under uncertainty | |
| Zhang‐Jian et al. | An energy‐saving algorithm for cloud resource management using a Kalman filter | |
| Luo et al. | A resource optimization algorithm of cloud data center based on correlated model of reliability, performance and energy |