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An Improved Genetic Algorithm for the Virtual Machine Placement Problem

Chanipa Sonklin, Maolin Tang, Yu-Chu Tian
2019 Australian Journal of Intelligent Information Processing Systems  
Server consolidation can be formulated as a Virtual Machine (VM) placement problem, and Genetic Algorithm (GAs) have been used to find an optimal solution to the VM placement problem.  ...  In this paper, we propose a new GA, namely Improved Genetic Algorithm (IGA), which is a GA enhanced by a new Initial Population Generation Strategy (IPGS), a new Knowledge-based Crossover Strategy (KCS  ...  Conclusion In this paper, we have proposed an Improved Genetic Algorithm (IGA) for the VM placement problem.  ... 
dblp:journals/ajiips/SonklinTT19 fatcat:omsjn23syjbh7maiqutsh2xmbi

A Multi-Objective Fuzzy Ant Colony Optimization Algorithm for Virtual Machine Placement

Boominathan Perumal, Aramudhan M.
2016 International Journal of Fuzzy System Applications  
In this paper, the authors address the mapping problem as a multi-objective virtual machine placement problem (VMP) and propose to apply multiobjective fuzzy ant colony optimization (F-ACO) technique for  ...  VMP-F-ACO is a combination of fuzzy logic and ACO, where we use fuzzy transition probability rule to simulate the behaviour of the ants and the authors apply the same for virtual machine placement problem  ...  Wang et al. (2013) designed an improved particle swarm optimization approach for virtual machine placement.  ... 
doi:10.4018/ijfsa.2016100108 fatcat:bi7du5qzyfdvbbrbs5duhcedyu

A Fuzzy Grouping Genetic Algorithm for Solving a Real-World Virtual Machine Placement Problem in a Healthcare-Cloud

Nawaf Alharbe, Abeer Aljohani, Mohamed Ali Rakrouki
2022 Algorithms  
Energy saving has become a major research direction of virtual machine placement problems.  ...  This problem is modeled as a multi-objective virtual machine placement problem with the objective of minimizing power consumption, resource utilization, and SLA violation rate.  ...  To solve this multi-objective optimization problem, we propose an improved group genetic algorithm.  ... 
doi:10.3390/a15040128 fatcat:4htmei5a25dm7ljbmyfurkwxwq

An Intelligent Approach to Resource Allocation on Heterogeneous Cloud Infrastructures

Jack Marquez, Oscar H. Mondragon, Juan D. Gonzalez
2021 Applied Sciences  
In this study, we present a novel approach comprised of a hierarchical framework based on genetic programming to solve problems related to data placement and virtual machine allocation for analytics applications  ...  We prove that our solutions for data placement and virtual machine allocation outperform other state-of-the-art approaches.  ...  Acknowledgments: Results presented in this paper were obtained using the Chameleon and Cloud-Lab testbed supported by the US National Science Foundation.  ... 
doi:10.3390/app11219940 fatcat:amovakfsuvh3xgdh2wrr3euwxe

MTAD: A Multitarget Heuristic Algorithm for Virtual Machine Placement

Lei Chen, Jing Zhang, Lijun Cai, Rui Li, Tingqin He, Tao Meng
2015 International Journal of Distributed Sensor Networks  
In order to solve the virtual machine placement problems in large scale, three algorithms are proposed.  ...  Finally, we consider the poor placement efficiency problem of large-scale virtual serial requests and design a concurrent VM classification algorithm using theK-means method.  ...  Ga [13] A hybrid genetic algorithm for the energy efficient virtual machine placement problem in data centers MTAD A multitarget heuristic algorithm for virtual machine placement ISPMC An iterative self-organizing  ... 
doi:10.1155/2015/679170 fatcat:zgumv3tcszep5pxtpyi2igxh3a

Multi Objective Optimization of Virtual Machine Migration Placement Based on Cloud Computing

Sun Hong, Tang Qing, Xu Liping, Chen Shiping
2017 International Journal of Advanced Network, Monitoring, and Controls  
The traditional multi-objective ant colony optimization was improved, studied the virtual machine live migration framework, combined with the elimination method to solve virtual machine migration and placement  ...  Experimental results show that ,compared with the traditional heuristic method and genetic algorithm, the algorithm is advantageous to the parallel computation, and it's able to achieve the optimal tradeoff  ...  Most researchers use the traditional heuristic method or genetic algorithm and other algorithms to make the virtual machine placement before; Although these algorithms can solve the problem of virtual  ... 
doi:10.21307/ijanmc-2017-014 fatcat:oeojfs6yyrbcrott4d64oiunay

Energy-Efficient Virtual Machine Placement in Data Centers by Genetic Algorithm [chapter]

Grant Wu, Maolin Tang, Yu-Chu Tian, Wei Li
2012 Lecture Notes in Computer Science  
In this paper, we propose a genetic algorithm for a new virtual machine placement problem that considers the energy consumption in both the servers and the communication network in the data center.  ...  Server consolidation using virtualization technology has become an important technology to improve the energy eciency of data centers.  ...  Then, the network energy consumption for transferring l(c) units of data is E(c) = e(c) * l(c) (5) the virtual machine placement problem is to assign each virtual machine in V onto a physical machine in  ... 
doi:10.1007/978-3-642-34487-9_39 fatcat:gzc3yof4gnav3dgc5nq3ekmz7i

An energy-aware algorithm for virtual machine placement in cloud computing

Da-Ming Zhao, Jian-Tao Zhou, Keqin Li
2019 IEEE Access  
In this paper, an energy-aware algorithm named GATA is proposed for the VMP problem. It combines the genetic algorithm with the tabu search algorithm.  ...  Virtualization technology, as a key technology in cloud computing, makes the virtual machine placement (VMP) play an important role in improving the energy efficiency of data centers.  ...  As an important component of resource allocation and management in cloud computing, virtual machine placement (VMP) problem [12] , [13] aims to choose a suitable physical machine for a virtual machine  ... 
doi:10.1109/access.2019.2913175 fatcat:capmda6spngtpcffm4odalyiue

Solving bin Packing Problem with a Hybrid Genetic Algorithm for VM Placement in Cloud

Mohamed Amine Kaaouache, Sadok Bouamama
2015 Procedia Computer Science  
This will give a good result for the virtual machine placement in Cloud to minimize energy since it looks like a BPP.  ...  This problem is known to be NP-Hard. In this paper, we propose an hybrid genetic algorithm using BFD (Best Fit Decreasing) to deal with infeasible solution due to the bin-used representation.  ...  Acknowledgements The authors express their deepest gratitude to the anonymous reviewers for their invaluable comments and suggestions which helped greatly in improving the quality of the paper.  ... 
doi:10.1016/j.procs.2015.08.151 fatcat:yt47nvrrlrg6jbnid7iql3nda4

Improving the Load Balancing and Dynamic Placement of Virtual Machines in Cloud Computing using Particle Swarm Optimization Algorithm

2021 International Journal of Engineering  
The purpose of present study is to provide a method for improving task scheduling through an improved particle swarm optimization algorithm.  ...  The results of simulation showed that the proposed method has provided an optimized solution for scheduling tasks, equal allocation of tasks in virtual machines and placement on the appropriate physical  ...  [17] have proposed the multi-objective algorithm NS-GGA to solve the problem of virtual machine placement through a non-dominated sorting genetic algorithm.  ... 
doi:10.5829/ije.2021.34.06c.05 fatcat:6ssfzwioi5em7kmzofgmssk3em

A Comparative Analysis of Virtual Machine Placement Techniques in the Cloud Environment

Bhavesh Gohil, Sanjana Shah, Yash Golechha, Dhiren Patel
2016 International Journal of Computer Applications  
Virtualization is an important technology integrated in Cloud Computing. Mapping the virtual machines to the appropriate physical machines is called VM placement.  ...  Effective placement of virtual machines is important for optimization of computational resources and reduction of the probability of virtual machine reallocation.  ...  Given the resource requirements of virtual machines, an algorithm is expected to come up with a placement plan which gives a mapping of which virtual machine is to be placed on which physical machine.  ... 
doi:10.5120/ijca2016912530 fatcat:byzsff423ve2vgfna7donnh2pm

Differential Evolution Algorithm for Optimizing Virtual Machine Placement Problem in Cloud Computing

Amol C. Adamuthe, Jayshree T. Patil
2018 International Journal of Intelligent Systems and Applications  
Paper addresses the virtual machine placement as optimization problem with resource constraints on CPU, memory and bandwidth. In experimentations, datasets are formed using random data generator.  ...  Different mapping relations among virtual machines and physical machines effect on resource utilization, load balancing and cost for cloud data center.  ...  In [20] , authors proposed genetic algorithm for single objective virtual machine placement problem. The objective is cost minimization for physical machines.  ... 
doi:10.5815/ijisa.2018.07.06 fatcat:vfy54e73krgy7enzjdxryvu7mm

An efficient IoT cloud energy consumption based on genetic algorithm

Farnoosh Farhadian, Mohammad Mansour Riahi Kashani, Javad Rezazadeh, Reza Farahbakhsh, Kumbesan Sandrasegaran
2019 Digital Communications and Networks  
In this study, an effort is made to provide an optimum virtual machines allocation to physical hosts with employing imperialistic competitive (IC) and genetic algorithms (GA).  ...  The developed novel algorithms could improve the energy efficiency of cloud computing.  ...  new virtual machines proposed a genetic algorithm for placing new vir- tual machines and comparing their algorithm with thrMmt Minimizing the energy consumption compared to energy consumed by thrMmt  ... 
doi:10.1016/j.dcan.2019.01.001 fatcat:sxy3f7pntfc3nihiqdby6uz3za

An Adaptive Virtual Machine Location Selection Mechanism in Distributed Cloud

2015 KSII Transactions on Internet and Information Systems  
Such a method can be used to obtain an optimal solution for the rapid location selection of virtual machines.  ...  In this study, we propose a multi-object virtual machine location selection algorithm (MOVMLSA) based on group information, doubly linked list structure and genetic algorithm.  ...  In [12, 13] , a genetic algorithm was used to tackle the problem of the static placement of virtual machines without consideration of the overhead costs involved in the virtual machine migration.  ... 
doi:10.3837/tiis.2015.12.003 fatcat:pkv4pvrubbdjjjv3o4bp6zpujq

A Firefly Colony and Its Fuzzy Approach for Server Consolidation and Virtual Machine Placement in Cloud Datacenters

Boominathan Perumal, Aramudhan Murugaiyan
2016 Advances in Fuzzy Systems  
Managing these resources to handle large number of virtual machine requests has created the need for heuristic optimization algorithms to provide the optimal placement strategies satisfying the objectives  ...  The server consolidation aims to minimize the count of physical machines used and the virtual machine placement problem is to obtain optimal placement strategy with both minimum power consumption and resource  ...  An improved particle swarm optimization approach for virtual machine placement is proposed by Wang et al. [30] .  ... 
doi:10.1155/2016/6734161 fatcat:enbnstottfesxgulisj56oxofe
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