Li et al., 2017
| Publication | Publication Date | Title |
|---|---|---|
| Li et al. | Energy-efficient and QoS-aware model based resource consolidation in cloud data centers | |
| Zhu et al. | Task offloading decision in fog computing system | |
| Chaurasia et al. | Comprehensive survey on energy-aware server consolidation techniques in cloud computing | |
| Li et al. | Energy-efficient migration and consolidation algorithm of virtual machines in data centers for cloud computing | |
| Gill et al. | Resource provisioning based scheduling framework for execution of heterogeneous and clustered workloads in clouds: from fundamental to autonomic offering | |
| Karthiban et al. | RETRACTED ARTICLE: An efficient green computing fair resource allocation in cloud computing using modified deep reinforcement learning algorithm: K. Karthiban, JS Raj | |
| Aryania et al. | Energy-aware virtual machine consolidation algorithm based on ant colony system | |
| Wang et al. | Research on virtual machine consolidation strategy based on combined prediction and energy-aware in cloud computing platform | |
| US7774457B1 (en) | Resource evaluation for a batch job and an interactive session concurrently executed in a grid computing environment | |
| CN103488539B (en) | Data center energy saving method based on central processing unit (CPU) dynamic frequency modulation technology | |
| Li | An adaptive overload threshold selection process using Markov decision processes of virtual machine in cloud data center | |
| Khan | An efficient energy-aware approach for dynamic VM consolidation on cloud platforms | |
| Hamdi et al. | A survey on energy aware VM consolidation strategies | |
| Magotra et al. | Adaptive computational solutions to energy efficiency in cloud computing environment using VM consolidation | |
| Kulkarni et al. | Context aware VM placement optimization technique for heterogeneous IaaS cloud | |
| Supreeth et al. | Comparative approach for VM scheduling using modified particle swarm optimization and genetic algorithm in cloud computing | |
| Sunil et al. | Energy-efficient virtual machine placement algorithm based on power usage | |
| Bashir et al. | Multi-factor nature inspired SLA-aware energy efficient resource management for cloud environments | |
| Mishra et al. | Allocation of energy-efficient task in cloud using DVFS | |
| Tseng et al. | An energy efficient vm management scheme with power-law characteristic in video streaming data centers | |
| Ye et al. | A framework for QoS and power management in a service cloud environment with mobile devices | |
| Garg et al. | Optimal virtual machine scheduling in virtualized cloud environment using VIKOR method | |
| Amoon et al. | A Green energy-efficient scheduler for cloud data centers | |
| Sonkar et al. | Load prediction analysis based on virtual machine execution time using optimal sequencing algorithm in cloud federated environment | |
| Leite et al. | Power‐aware server consolidation for federated clouds |