Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
By Anton Beloglazov, Rajkumar Buyya. Concurrency and Computation, 2012
1,883 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/85011e8d503e28c098249e935a1ad52a673dc9f0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Adnan Ashraf
- Rongxing Lu
- Hannu Tenhunen
- Zheng Yan
- Juha Plosila
- Tapio Pahikkala
- Ivan Porres
- Shuo Chen
In Information Systems
- Adnan Ashraf
- Rongxing Lu
- Hannu Tenhunen
- Zheng Yan
- Juha Plosila
- Tapio Pahikkala
- Ivan Porres
- Kim-Kwang Raymond Choo
Citations in the corpus
- Energy efficiency in cloud computing data centers: a survey on software technologies (2022, neutral): “The metric for SLA is calculated as the fraction of the difference among the allocated and the requested CPU for each VM [43].”
- Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges (2019, neutral): “Most existing job scheduling algorithms are based on heuristics [141] [142] [143].”
- Using Ant Colony System to Consolidate VMs for Green Cloud Computing (2015, methodology): “Moreover, a static threshold method (THR) is proposed in [19] that monitors the CPU utilization and migrates a VM when the current utilization exceeds 80 percent of the total amount of available CPU capacity on the PM.”
- From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “Beloglazov and Buyya [104] analyzed single VM migration and dynamic VM consolidation problem.”