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Correlation-Aware Virtual Machine Allocation for Energy-Efficient Datacenters

Jungsoo Kim, Martino Ruggiero, David Atienza, Marcel Lederberger
2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013  
for datacenters.  ...  More specifically, we take into account correlation information of core utilization among virtual machines (VMs) in server consolidation to lower actual peak server utilization.  ...  Efficient correlation measure for VM allocation The correlation of used CPU utilization between two VMs is mostly quantified with Pearson product-moment correlation coefficient, or Pearson's correlation  ... 
doi:10.7873/date.2013.277 dblp:conf/date/KimRAL13 fatcat:ccdngcg6fnhzrjuzatjnwn3h54

Energy Management Techniques for Cloud Based Environment

Neenu Juneja, Chamkaur Singh, Krishan Tuli
2020 International Journal of Scientific Research in Computer Science Engineering and Information Technology  
The authors cover all aspects of energy consumption by Cloud Datacenters and analyze many more research papers to find out the better solution for efficient energy consumption.  ...  Keywords: Cloud computing, Collocated virtual machines, Live migration, Load balancing, Resource scheduling  ...  F ) Virtual Machine (VM) Allocation Methods The authors proposed an interior search based virtual machine allocation algorithm for efficient energy consumption and proper resource utilization in [35].  ... 
doi:10.32628/cseit206293 fatcat:u4dxre7eyzdlzpsnlrptdhh4mu

A Study of Efficient Energy Management Techniques for Cloud Computing Environment [article]

Syed Arshad Ali, Mohammad Affan, Mansaf Alam
2018 arXiv   pre-print
This work gives an overall information regarding energy-consumption problems of Cloud data centres and energy-efficient solutions for this problem.  ...  The authors cover all aspects of energy consumption by Cloud data centers and analyze many research papers to find the better solution for efficient energy consumption.  ...  with other virtual machines (VMs) allocated to the same server has been selected for migration. • Maximum correlation: Multiple correlation coefficient [18] is used to calculate the correlation among  ... 
arXiv:1810.07458v1 fatcat:cjh7wsrbajhgjd6efdxsgulw6m

VMS Mean and FFD VM Allocation Algorithm for Cloud Datacenter

2020 International journal of recent technology and engineering  
By efficiently placing the number of virtual machine in fewer active host and shutdown the inactive host could reduce the consumption of power in datacenter.  ...  Not efficiently utilizing the resource of host machine is the main reason for increase in power consumption.  ...  Pradeep et al [5] proposed power and data aware best fit algorithm for selecting next Virtual Machine with energy and data constraints.  ... 
doi:10.35940/ijrte.e1014.0285s20 fatcat:rur3fza7nrf7bintoq43vswv2i

VM Consolidation Plan for Improving the Energy Efficiency of Cloud

Satveer, Mahendra Singh Aswal
2021 Cybernetics and Information Technologies  
Achieving energy-efficiency with minimal Service Level Agreement (SLA) violation constraint is a major challenge in cloud datacenters owing to financial and environmental concerns.  ...  In this paper, a dynamic consolidation plan is proposed to optimize the energy consumption of the cloud datacenter. The proposed plan encompasses algorithms for VM selection and VM placement.  ...  ] estimate the instant power consumption of each server for deciding the most efficient server to allocate the virtual machines.  ... 
doi:10.2478/cait-2021-0035 fatcat:yqp7rs6xyrh4tic6rhcdcjxylm

A Comprehensive Survey on SLA Compliant Energy Aware Resource Allocation in Cloud Datacenters

Anitha R, C Vidya Raj
2018 International Journal of Emerging Research in Management and Technology  
Energy-Aware resource allocation and job scheduling mechanisms in VMs has helped datacenter providers to reduce their cost incurrence through predictive job scheduling and load balancing.  ...  But on datacenters, load balancing and scheduling techniques remain inevitable to provide better Quality of Service to the service users and maintenance of energy efficient operations in datacenters.  ...  In paper [46] , an energy efficient virtual machine architecture was proposed for cloud data center.  ... 
doi:10.23956/ijermt.v6i6.290 fatcat:elkalskirnhivn274gzbmw52yi

Review of Energy Reduction Techniques for Green Cloud Computing

Shaden M., Heba A.
2016 International Journal of Advanced Computer Science and Applications  
The green cloud computing (GCC) approach is part of green IT; it aims to reduce the carbon footprint of datacenters by reducing their energy consumption.  ...  The GCC is a broad and exciting field for research.  ...  Datacenter Energy-efficient Network-aware Scheduling (DENS) is proposed in [28] .  ... 
doi:10.14569/ijacsa.2016.070127 fatcat:5vhpsecxxve3rggiurrkoiskce

VMS Mean and Minimum Utilization VM Selection Algorithm for Cloud Datacenter

2020 International journal of recent technology and engineering  
VM Consolidation techniques helps VMs to migrate between the host machines in reducing energy consumption, but again which VM to select for migration between the host machine is again the challenging task  ...  Cloud datacenter provides the various resources on-demand for the end consumers on pay-per-use through internet connection.  ...  The main objective is to select the suitable VMs for the migration and also maximize the host machine utilization and efficient energy consumption.  ... 
doi:10.35940/ijrte.e1015.0285s20 fatcat:abrffaz2xfbbrcd7zoakvfpxra

VMAP: Proactive thermal-aware virtual machine allocation in HPC cloud datacenters

Eun Kyung Lee, Hariharasudhan Viswanathan,, Dario Pompili
2012 2012 19th International Conference on High Performance Computing  
VMAP, an innovative proactive thermal-aware virtual machine consolidation technique is proposed to maximize computing resource utilization, to minimize datacenter energy consumption for computing, and  ...  However, maximizing energy efficiency and utilization of cloud datacenter resources, avoiding undesired thermal hotspots (due to overheating of over-utilized computing equipment), and ensuring quality  ...  Manish Parashar, Rutgers University, for his insightful comments and suggestions. We thank Profs.  ... 
doi:10.1109/hipc.2012.6507478 dblp:conf/hipc/LeeVP12 fatcat:kzmw5ta3avb3fco2uier7txyee

Energy-Efficient Thermal-Aware Autonomic Management of Virtualized HPC Cloud Infrastructure

Ivan Rodero, Hariharasudhan Viswanathan, Eun Kyung Lee, Marc Gamell, Dario Pompili, Manish Parashar
2012 Journal of Grid Computing  
Virtual Machine (VM) migration is one of the  ...  However, maximizing energy efficiency and utilization of datacenter resources, and minimizing undesired thermal behavior while ensuring application performance and other Quality of Service (QoS) guarantees  ...  [57] propose pSciMapper, a power-aware method for consolidation virtual machines that host scientific workflow tasks.  ... 
doi:10.1007/s10723-012-9219-2 fatcat:zxxyef4dwzftjeaaqs2r5feb6u

Network perception task migration in cloud-edge fusion computing

Chen Ling, Weizhe Zhang, Hui He, Yu-chu Tian
2020 Journal of Cloud Computing: Advances, Systems and Applications  
Weizhe Zhang School of Computer Science and Technology, Harbin Institute of Technology for his valuable contribution towards the proposed work.  ...  Authors' contributions All authors have participated in conception and design, or analysis and interpretation of the data, drafting the article or revising it critically for important intellectual content  ...  [15] proposed a heterogeneous self-optimization system for cloud energy efficiency.  ... 
doi:10.1186/s13677-020-00193-8 fatcat:dcmrjaxs35g25lqbnw32ospw4y

Joint Computing and Electric Systems Optimization for Green Datacenters [chapter]

Ali Pahlevan, Maurizio Rossi, Pablo G. Del Valle, Davide Brunelli, David Atienza
2016 Handbook of Hardware/Software Codesign  
At server level, the state-of-the-art correlation-aware Virtual Machines (VMs) consolidation technique allows to maximize server's energy efficiency.  ...  Results demonstrate, under different number of VMs in the system, up to 11.6% energy savings, 10.4% improvement of QoS compared to existing correlation-aware VM allocation schemes for datacenters and up  ...  The Datacenter Energy Controller is based on a state-of-the-art correlation-aware VM allocation scheme [22] due to a high correlation within a cluster of applications in virtualized datacenters.  ... 
doi:10.1007/978-94-017-7358-4_35-1 fatcat:q3qy3zuhnzbmxltx6kxn4au6ym

Joint Computing and Electric Systems Optimization for Green Datacenters [chapter]

Ali Pahlevan, Maurizio Rossi, Pablo G. Del Valle, Davide Brunelli, David Atienza
2017 Handbook of Hardware/Software Codesign  
At server level, the state-of-the-art correlation-aware Virtual Machines (VMs) consolidation technique allows to maximize server's energy efficiency.  ...  Results demonstrate, under different number of VMs in the system, up to 11.6% energy savings, 10.4% improvement of QoS compared to existing correlation-aware VM allocation schemes for datacenters and up  ...  The Datacenter Energy Controller is based on a state-of-the-art correlation-aware VM allocation scheme [22] due to a high correlation within a cluster of applications in virtualized datacenters.  ... 
doi:10.1007/978-94-017-7267-9_35 fatcat:476qrdqcbfeb5b4z7d4kh3bnr4

Green-Aware Virtual Machine Migration Strategy in Sustainable Cloud Computing Environments [chapter]

Xiaoying Wang, Guojing Zhang, Mengqin Yang, Lei Zhang
2017 Cloud Computing - Architecture and Applications  
In this chapter, we present a green-aware virtual machine (VM) migration strategy in such datacenters powered by sustainable energy sources, considering the power consumption of both IT functional devices  ...  As cloud computing develops rapidly, the energy consumption of large-scale datacenters becomes unneglectable, and thus renewable energy is considered as the extra supply for building sustainable cloud  ...  In this chapter, we attempt to conduct research on energy-aware virtual machine migration methods for power and resource management in hybrid energy-powered datacenters.  ... 
doi:10.5772/67350 fatcat:7jmctv6jbzb65jfazejufjdpau

Analysis of Cloud Sim Toolkit for Implementing Energy Efficient Green Cloud Data Centers

Sajitha A. V
2018 International Journal for Research in Applied Science and Engineering Technology  
Out of this energy consumption awarding the first position because of the number of energy hungry data centres are growing rapidly due to the increasing popularity of the Cloud Computing among all levels  ...  But running the applications in the real cloud for testing are much more expensive and researchers often cannot attain the real cloud environment.  ...  Rajkumar Buyya , CLOUDS Laboratory, University of Melbourn, Australia for providing an excellent research article in his web portal (www.buyya.wordpress.com) as for Cloud Computing.  ... 
doi:10.22214/ijraset.2018.4757 fatcat:tawk2repdbbhlot4rz7zuzegwq
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