Towards Green Cloud Computing an Algorithmic Approach for Energy Minimization in Cloud Data Centers

Jenia Afrin Jeba, Shanto Roy, Mahbub Or Rashid, Syeda Tanjila Atik and Md Whaiduzzaman
Additional contact information
Jenia Afrin Jeba: Jahangirnagar University, Dhaka, Bangladesh
Shanto Roy: Jahangirnagar University, Dhaka, Bangladesh
Mahbub Or Rashid: Jahangirnagar University, Dhaka, Bangladesh
Syeda Tanjila Atik: Jahangirnagar University, Dhaka, Bangladesh
Md Whaiduzzaman: Jahangirnagar University, Dhaka, Bangladesh

International Journal of Cloud Applications and Computing (IJCAC), 2019, vol. 9, issue 1, 59-81

Abstract: The article presents an efficient energy optimization framework based on dynamic resource scheduling for VM migration in cloud data centers. This increasing number of cloud data centers all over the world are consuming a vast amount of power and thus, exhaling a huge amount of CO2 that has a strong negative impact on the environment. Therefore, implementing Green cloud computing by efficient power reduction is a momentous research area. Live Virtual Machine (VM) migration, and server consolidation technology along with appropriate resource allocation of users' tasks, is particularly useful for reducing power consumption in cloud data centers. In this article, the authors propose algorithms which mainly consider live VM migration techniques for power reduction named “Power_reduction” and “VM_migration.” Moreover, the authors implement dynamic scheduling of servers based on sequential search, random search, and a maximum fairness search for convenient allocation and higher utilization of resources. The authors perform simulation work using CloudSim and the Cloudera simulator to evaluate the performance of the proposed algorithms. Results show that the proposed approaches achieve around 30% energy savings than the existing algorithms.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJCAC.2019010105 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jcac00:v:9:y:2019:i:1:p:59-81

Access Statistics for this article

International Journal of Cloud Applications and Computing (IJCAC) is currently edited by B. B. Gupta

More articles in International Journal of Cloud Applications and Computing (IJCAC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().