Energy Efficient VM Scheduling for Cloud Data Centers: Exact Allocation and Migration Algorithms

2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing ◽

10.1109/ccgrid.2013.89 ◽

2013 ◽

Author(s):

C. Ghribi ◽

M. Hadji ◽

D. Zeghlache

Keyword(s):

Energy Efficient ◽

Data Centers ◽

Vm Scheduling ◽

Cloud Data Centers ◽

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Energy efficient VM scheduling in Reservation supported Cloud Data Centers under availability constraints

2021 International Conference on Intelligent Technologies (CONIT) ◽

10.1109/conit51480.2021.9498421 ◽

2021 ◽

Author(s):

Bhavya Charan ◽

K S Goutham ◽

Ruben John Mampilli ◽

Bharani Ujjaini Kempaiah ◽

H L Phalachandra

Keyword(s):

Energy Efficient ◽

Data Centers ◽

Vm Scheduling ◽

Availability Constraints ◽

Cloud Data Centers

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A Novel Energy Efficient Scheduling for VM Consolidation and Migration in Cloud Data Centers

Ingénierie des systèmes d information ◽

10.18280/isi.240512 ◽

2019 ◽

Vol 24 (5) ◽

pp. 539-546

Author(s):

Dasari Yakobu ◽

Chirra Reddy ◽

Venkatramaphani Sistla

Keyword(s):

Energy Efficient ◽

Data Centers ◽

Cloud Data Centers ◽

And Migration ◽

Vm Consolidation ◽

Energy Efficient Scheduling

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Energy efficient VM scheduling strategies for HPC workloads in cloud data centers

Sustainable Computing Informatics and Systems ◽

10.1016/j.suscom.2019.100352 ◽

2019 ◽

Vol 24 ◽

pp. 100352

Author(s):

Aftab Ahmed Chandio ◽

Nikos Tziritas ◽

Muhammad Saleem Chandio ◽

Cheng-Zhong Xu

Keyword(s):

Energy Efficient ◽

Data Centers ◽

Vm Scheduling ◽

Cloud Data Centers ◽

Scheduling Strategies

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An Energy-Efficient Consolidation of Virtual Machines in Cloud Data Centers

Menoufia Journal of Electronic Engineering Research ◽

10.21608/mjeer.2017.63431 ◽

2017 ◽

Vol 26 (1) ◽

pp. 113-128

Author(s):

Gamal Eldin I. Selim ◽

Mohamed A. El-Rashidy ◽

Nawal A. El-Fishawy

Keyword(s):

Energy Efficient ◽

Data Centers ◽

Virtual Machines ◽

Cloud Data Centers

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Applying Reinforcement Learning towards automating energy efficient virtual machine consolidation in cloud data centers

Information Systems ◽

10.1016/j.is.2021.101722 ◽

2021 ◽

pp. 101722

Author(s):

Rachael Shaw ◽

Enda Howley ◽

Enda Barrett

Keyword(s):

Reinforcement Learning ◽

Virtual Machine ◽

Energy Efficient ◽

Data Centers ◽

Virtual Machine Consolidation ◽

Cloud Data Centers

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A survey of energy-efficient techniques in cloud data centers

International Conference on ICT for Smart Society ◽

10.1109/ictss.2013.6588099 ◽

2013 ◽

Author(s):

Aruzhan Kulseitova ◽

Ang Tan Fong

Keyword(s):

Energy Efficient ◽

Data Centers ◽

Cloud Data Centers

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Reinforcement learning based methodology for energy-efficient resource allocation in cloud data centers

Journal of King Saud University - Computer and Information Sciences ◽

10.1016/j.jksuci.2018.11.005 ◽

2020 ◽

Vol 32 (10) ◽

pp. 1127-1139 ◽

Author(s):

Thandar Thein ◽

Myint Myat Myo ◽

Sazia Parvin ◽

Amjad Gawanmeh

Keyword(s):

Resource Allocation ◽

Reinforcement Learning ◽

Energy Efficient ◽

Data Centers ◽

Efficient Resource ◽

Cloud Data Centers ◽

Energy Efficient Resource Allocation

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CloudSwitch: A State-aware Monitoring Strategy Towards Energy-efficient and Performance-aware Cloud Data Centers

KSII Transactions on Internet and Information Systems ◽

10.3837/tiis.2015.12.002 ◽

2015 ◽

Vol 9 (12) ◽

Keyword(s):

Energy Efficient ◽

Data Centers ◽

Monitoring Strategy ◽

Cloud Data Centers ◽

And Performance

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Type-aware virtual machine management for energy efficient cloud data centers

Sustainable Computing Informatics and Systems ◽

10.1016/j.suscom.2018.05.012 ◽

2018 ◽

Vol 19 ◽

pp. 185-203 ◽

Author(s):

Auday Al-Dulaimy ◽

Wassim Itani ◽

Rached Zantout ◽

Ahmed Zekri

Keyword(s):

Virtual Machine ◽

Energy Efficient ◽

Data Centers ◽

Cloud Data Centers

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Energy-Efficient Virtualized Scheduling and Load Balancing Algorithm in Cloud Data Centers

International Journal of Information Retrieval Research ◽

10.4018/ijirr.2021070103 ◽

2021 ◽

Vol 11 (3) ◽

pp. 34-48

Author(s):

J. K. Jeevitha ◽

Athisha G.

Keyword(s):

Quality Of Service ◽

Load Balancing ◽

Energy Efficient ◽

Data Centers ◽

Scheduling Algorithm ◽

The Third ◽

Cloud Data Centers ◽

Load Balancing Algorithm

To scale back the energy consumption, this paper proposed three algorithms: The first one is identifying the load balancing factors and redistribute the load. The second one is finding out the most suitable server to assigning the task to the server, achieved by most efficient first fit algorithm (MEFFA), and the third algorithm is processing the task in the server in an efficient way by energy efficient virtual round robin (EEVRR) scheduling algorithm with FAT tree topology architecture. This EEVRR algorithm improves the quality of service via sending the task scheduling performance and cutting the delay in cloud data centers. It increases the energy efficiency by achieving the quality of service (QOS).

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