Optimal virtual machine placement across multiple cloud providers
By Sivadon Chaisiri, Bu-Sung Lee, Dusist Niyato. IEEE Asia-Pacific Services Computing Conference, 2009
381 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Information Systems
View Paper: https://www.semanticscholar.org/paper/08097de4f3d0951f94bc1e4d2e346e663035a4d1
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In Computer Networks and Communications
In Information Systems
Citations in the corpus
- Optimization of Resource Provisioning Cost in Cloud Computing (2012, background): “In this paper, minimizing both underprovisioning and overprovisioning problems under the demand and price uncertainty in cloud computing environments is our .”
- A multi-objective ant colony system algorithm for virtual machine placement in cloud computing (2013, methodology): “[12] presented a nice algorithm for optimal placement of virtual machines on physical machines.”
- Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers (2012, background): “who use stochastic integer programming to both minimize the cost of renting virtual machines from public cloud providers andhandle uncertainty in future prices and resource demands [35].”
- An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing (2018, methodology): “For example, stochastic integer programming was used to minimize the cost for hosting VMs in a multiple cloud provider environment [26].”
- Cost-Optimal Scheduling in Hybrid IaaS Clouds for Deadline Constrained Workloads (2010, background): “[20] acknowledge the existence of both reservation and on-demand payment plans.”