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Mr-moslo: vm consolidation using multiple regression multi-objective seven-spot ladybird optimization for host overload detection [article]

Akram Saeed Aqlan Alhammadi, Dr.V. Vasanthi
2019 arXiv   pre-print
is used which relay on CPU utilization,memory utilization and bandwidth utilization for estimation of the host load conditions.Then a Multi-Objective Seven-Spot Ladybird Optimization(MOSLO)algorithm is  ...  are conducted in CloudSim tool and the empirical results shows that the proposed MR-MOSLO algorithm detects the host overload efficiently with reasonably similar energy and SLA values while comparatively  ...  This approach optimizes the energy efficiency and service quality by detecting a global optimum solution for VM placement problem.  ... 
arXiv:1909.06129v1 fatcat:r4abcisp4rfp5ctxjrp23rihyq

Multi-objective dynamic virtual machine consolidation in the cloud using ant colony system

Adnan Ashraf, Ivan Porres
2017 International Journal of Parallel, Emergent and Distributed Systems  
In this paper, we present a novel multi-objective ant colony system algorithm for virtual machine (VM) consolidation in cloud data centers.  ...  It optimizes two objectives that are ordered by their importance. The first and foremost objective in the proposed algorithm is to maximize the number of released PMs.  ...  Acknowledgements This work was supported by the Need for Speed (N4S) Research Program (http: //  ... 
doi:10.1080/17445760.2017.1278601 fatcat:ffdzlbiowbff3l6f45wgn3brm4

Optimized Energy Efficient Virtual Machine Placement Algorithm and Techniques for Cloud Data Centers

Sanjay Patel, Ramji M. Makwana
2016 Journal of Computer Science  
In this study, the problem of VM consolidation has been formulated as a mathematical optimization problem.  ...  Virtualization opens the doors for VM consolidation by allowing dynamic migration of virtual machines across physical machines.  ...  We would also like to thank the anonymous reviewers and the editors. Author's Contributions Sanjay Patel: All experiments, Data Analysis, Algorithms.  ... 
doi:10.3844/jcssp.2016.448.454 fatcat:lnfkeng3kja7dffreuehjva4cu

Energy Efficient Virtual Machine Placement in Data Center

Ashwini S., Pranoti C., Pallavi P., Sayali S., N. R.
2018 International Journal of Computer Applications  
The problem of VM placement is an optimization problem to achieve multiple goals.  ...  This may be caused by the DCs themselves as well as by the power generation that is needed by the DCs.  ...  Modeling of energy aware allocation and consolidation to minimize overall energy consumption leads us to the combination of an optimal allocation algorithm with a consolidation algorithm relying on migration  ... 
doi:10.5120/ijca2018918155 fatcat:qsu6xejykbb7ziqdlebd7iegku

Power Efficient Hybrid VM Allocation Algorithm

Inderjit Singh, Sawtantar Singh
2015 International Journal of Computer Applications  
In the past few years, many approaches to the VM consolidation problem have been proposed [5] [6] [7] [8] [9] .However; exiting VM placement methods do not consider multi objective parameter optimization  ...  Maolin Tang et al. [12] proposed a genetic algorithm for new VM placement problem that considers the energy consumption in both the servers and communication networks in the data centers as preliminary  ...  Section 5 describes Hybrid VM Allocation Algorithm in multi objective scenario.  ... 
doi:10.5120/ijca2015906722 fatcat:j6q3d2bfcbh6tev6n6xveopvji

MR-MOSLO: VM Consolidation Using Multiple Regression Multi-Objective Seven-Spot Ladybird Optimization for Host Overload Detection

Akram Alhammadi, Bharathiar University, Vasanthi Varadharajan, Bharathiar University
2020 International Journal of Intelligent Engineering and Systems  
Then a Multi-Objective Seven-Spot Ladybird Optimization (MOSLO) algorithm is introduced to select the upper and lower threshold limits for host utilization.  ...  The inefficient usage of the resources is the main reason for these problems and VM consolidation is a viable solution.  ...  This approach optimizes the energy efficiency and service quality by detecting a global optimum solution for VM placement problem.  ... 
doi:10.22266/ijies2020.0430.03 fatcat:kmrjolser5by5eo2gnu5lqbr5a

A multi-objective approach for energy-efficient and reliable dynamic VM consolidation in cloud data centers

Monireh H. Sayadnavard, Abolfazl Toroghi Haghighat, Amir Masoud Rahmani
2021 Engineering Science and Technology, an International Journal  
Then, a multi-objective VM placement approach is proposed to achieve the optimal VMs to PMs mapping using the e-dominance-based multi-objective artificial bee colony (e-MOABC) algorithm which can efficiently  ...  Moreover, a major challenge is the system's reliability degradation because of the high frequency of consolidation and placing VMs on unreliable PMs.  ...  The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.  ... 
doi:10.1016/j.jestch.2021.04.014 fatcat:ziz4meoro5f4bpzlwxdcs7bpz4

A Critical Analysis of Energy Efficient Virtual Machine Placement Techniques and its Optimization in a Cloud Computing Environment

Ankita Choudhary, Shilpa Rana, K.J. Matahai
2016 Procedia Computer Science  
This paper provides a critical analysis on the basis of literature review of the state-of-the-art research on energy efficient dynamic allocation of virtual machines to hosts in a datacenter as per variable  ...  So, this paper proposes a technique for optimizing virtual machine placement by live migration using dynamic threshold values ensuring a deadlock free resource allocation focusing on multidimensional resources  ...  problem as a multi-constrained multi-objective optimization problem which is then solved by one of the most principal evolutionary multi-objective optimization algorithm NSGA-II [11] .  ... 
doi:10.1016/j.procs.2016.02.022 fatcat:pi7ys46s65a3rk4uypebunnzai

A Survey of Virtual Machine Placement Techniques in a Cloud Data Center

Zoha Usmani, Shailendra Singh
2016 Procedia Computer Science  
This paper presents a comprehensive study of the state-of-the-art VM placement and consolidation techniques used in green cloud which focus on improving the energy efficiency.  ...  Effective VM placement and migration techniques act as a key to optimum consolidation. Many of the recently proposed techniques realize dynamic consolidation while optimizing the VM placement.  ...  As discussed earlier, dynamic server consolidation can improve the energy efficiency by optimum utilization of available resources.  ... 
doi:10.1016/j.procs.2016.02.093 fatcat:yrgmosxvszgv7jjc4vmyycksta

Metaheuristic Approaches to Virtual Machine Placement in Cloud Computing: A Review

Dabiah Ahmed Alboaneen, Huaglory Tianfield, Yan Zhang
2016 2016 15th International Symposium on Parallel and Distributed Computing (ISPDC)  
Virtual machine placement (VMP) is mapping virtual machines (VMs) to appropriate physical machines (PMs) to achieve satisfactory objectives such as minimised energy consumption or maximised performance  ...  VMP is considered as a non-deterministic polynomial-time hard (NP-hard) problem. Metaheuristic techniques are able to find near-optimal solutions to NP-hard problems.  ...  ACS-based VM consolidation (ACSVMC) approach tried to find a near-optimal solution based on a specified objective function.  ... 
doi:10.1109/ispdc.2016.37 dblp:conf/ispdc/AlboaneenTZ16 fatcat:mhegc33gavdi5nglamw7odonbe

A multi-objective approach to virtual machine management in datacenters

Jing Xu, José Fortes
2011 Proceedings of the 8th ACM international conference on Autonomic computing - ICAC '11  
Multi-objective optimization seeks balance among conflicting objectives.  ...  Yes Yes Monitor thread Action thread Terminate the thread  Thermal emergency: reduce temperature by moving VMs  Resource contention: move VMs to maintain performance  Low energy efficiency  ... 
doi:10.1145/1998582.1998636 dblp:conf/icac/XuF11 fatcat:i3cxt5feqremfcbsdnt2zgvkcu

Multi-Objective Biogeography-Based Method to Optimize Virtual Machine Consolidation

Kai Shi, Huiqun Yu, Fei Luo, Guisheng Fan
2016 Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering  
The results show that the IMBBO optimizes VM consolidation with higher efficiency.  ...  In this paper, an IMBBO algorithm is proposed to solve the multi-objective optimization problem of VMC through improving the classical Biogeography-Based Optimization (BBO).  ...  A novel multi-objective optimization algorithm named IMBBO is proposed to solve VMCP based on the classical BBO.  ... 
doi:10.18293/seke2016-151 dblp:conf/seke/ShiYLF16 fatcat:vcyo6y34rbfaxnvuu3ginifehy

Multi-object Virtual Machine Placement Optimization Method in Cloud Computing Environment

Lijun Xu, Chunlin Li, Xiaoqing Zhang
2017 International Journal of Hybrid Information Technology  
We present a novel two-threshold method along with VM migration selection algorithm VMMSA as a solution of solving this multi-criteria problem.  ...  We propose VMPA strategy as a novel energy-efficient virtual machine (VM) placement procedure in cloud datacenters. VMPA could reduce the number of active servers in cloud datacenters.  ...  Acknowledgments The work was supported by the project of Science and technology research of henan province (152102210202), Institutions of higher learning key research projects in henan province department  ... 
doi:10.14257/ijhit.2017.10.8.06 fatcat:gx7iqlksszgd3iuwyltaaeyoaa

Energy and Service Level Agreement Aware Resource Allocation Heuristics for Cloud Data Centers

2018 KSII Transactions on Internet and Information Systems  
However, dynamic allocation of energy-efficient resources in cloud data centers overcomes these problems.  ...  Cloud computing offers a wide range of on-demand resources over the internet. Utility-based resource allocation in cloud data centers significantly increases the number of cloud users.  ...  In this paper, authors have proposed energy-aware and QoS-aware Multi-objective Ant Colony Optimization (MACO) approach for VM placement and consolidation.  ... 
doi:10.3837/tiis.2018.11.011 fatcat:ntyxpe77jrfqnpwxzpety5n4bi

A Review on Virtual Machine Positioning and Consolidation Strategies for Energy Efficiency in Cloud Data Centers

Nahuru Ado Sabongari, Abdulsalam Ya'u, Souley Boukari, Badamasi Ja'afaru, Muhammad Auwal, Haruna Chiroma
2020 International Journal of Advanced Computer Science and Applications  
The paper provides a detailed state-of -the-art strategies for VM positioning and consolidation that help improve energy efficiency in cloud data centers.  ...  Therefore further efforts are needed to improve the energy efficiency of such data centers by using Server Consolidation to minimize the number of Active Physical Machines (APMs) in a data center setting  ...  Vol. 11, No. 6, 2020 713 | P a g e [48] Power Optimization Multi-Objective CPU and Memory The proposed a custom branch-andbound algorithm The algorithm is to improve the effectiveness  ... 
doi:10.14569/ijacsa.2020.0110687 fatcat:zju2e6czezfhhn2kxn3iayk77m
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