scholarly journals An Energy-Aware Algorithm for Virtual Machine Placement in Cloud Computing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 55659-55668 ◽  
Author(s):  
Da-Ming Zhao ◽  
Jian-Tao Zhou ◽  
Keqin Li
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Virtual Machine Placement ◽  
Energy Aware

Chemical reaction optimization for virtual machine placement in cloud computing

2018 ◽  
Vol 49 (1) ◽  
pp. 220-232 ◽  
Author(s):  
Zhiyong Li ◽  
Yang Li ◽  
Tingkun Yuan ◽  
Shaomiao Chen ◽  
Shilong Jiang
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Chemical Reaction ◽  
Virtual Machine Placement ◽  
Chemical Reaction Optimization ◽  
Reaction Optimization

Location and Provisioning Problems in Cloud Computing Networks

2013 ◽  
pp. 22-45 ◽  
Author(s):  
Federico Larumbe ◽  
Brunilde Sansò
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Virtual Machine ◽  
Data Centers ◽  
Optimization Problems ◽  
Virtual Machine Placement ◽  
Future Research ◽  
Network Efficiency ◽  
Placement Problem ◽  
The Cost

This chapter addresses a set of optimization problems that arise in cloud computing regarding the location and resource allocation of the cloud computing entities: the data centers, servers, software components, and virtual machines. The first problem is the location of new data centers and the selection of current ones since those decisions have a major impact on the network efficiency, energy consumption, Capital Expenditures (CAPEX), Operational Expenditures (OPEX), and pollution. The chapter also addresses the Virtual Machine Placement Problem: which server should host which virtual machine. The number of servers used, the cost, and energy consumption depend strongly on those decisions. Network traffic between VMs and users, and between VMs themselves, is also an important factor in the Virtual Machine Placement Problem. The third problem presented in this chapter is the dynamic provisioning of VMs to clusters, or auto scaling, to minimize the cost and energy consumption while satisfying the Service Level Agreements (SLAs). This important feature of cloud computing requires predictive models that precisely anticipate workload dimensions. For each problem, the authors describe and analyze models that have been proposed in the literature and in the industry, explain advantages and disadvantages, and present challenging future research directions.

Virtual Machine Placement for Edge and Cloud Computing

2021 ◽  
pp. 53-64
Author(s):  
Behdad Partovi ◽  
Alireza Bagheri ◽  
Maryam Haddad Kazarji ◽  
Claus Pahl ◽  
Hamid R. Barzegar
Keyword(s):  
Cloud Computing ◽  
Virtual Machine ◽  
Virtual Machine Placement
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