Many-Objective Optimization for Virtual Machine Placement in Cloud Computing

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.

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Virtual Machine Placement for Edge and Cloud Computing

Communications in Computer and Information Science - Advances in Service-Oriented and Cloud Computing ◽

10.1007/978-3-030-71906-7_5 ◽

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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Non-dominated Ranking Biogeography Based Optimization Algorithm for Virtual Machine Placement in Cloud Computing

Lecture Notes in Networks and Systems - Intelligent Computing ◽

10.1007/978-3-030-80119-9_25 ◽

2021 ◽

pp. 423-438

Author(s):

Asma Bouhank ◽

Mourad Daoudi

Keyword(s):

Cloud Computing ◽

Virtual Machine ◽

Optimization Algorithm ◽

Virtual Machine Placement

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Virtual Machine Placement Using Statistical Mechanism in Cloud Computing Environment

International Journal of Applied Evolutionary Computation ◽

10.4018/ijaec.2018070103 ◽

2018 ◽

Vol 9 (3) ◽

pp. 23-31

Author(s):

Narander Kumar ◽

Surendra Kumar

Keyword(s):

Resource Allocation ◽

Cloud Computing ◽

Virtual Machine ◽

Minimum Cost ◽

Virtual Machine Placement ◽

The Internet ◽

Computing Environment ◽

Assignment Problems ◽

Cloud Computing Environment ◽

Statistical Mechanism

The internet has become essential and is the basis of cloud computing and will continue to be in the future. Best resource allocation is a process of placing the resources at their minimum cost/time and minimizes the load to a virtual machine. In this article, the authors propose an algorithm to optimize assignment problems and get the best placements in the resources to maintain the load on the virtual machine. Further, they also make comparisons between various optimization mechanisms for assignment problems, which is formulated for the cloud in virtual machine placement.

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