Kani: a QoS-aware hypervisor-level scheduler for cloud computing environments

Asyabi, Esmail; Azhdari, Azadeh; Dehsangi, Mostafa; Khan, Michel Gokan; Sharifi, Mohsen; Azhari, Seyed Vahid

doi:10.1007/s10586-016-0541-5

Cited by 10 publications

(2 citation statements)

References 19 publications

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“…In recent years, as the demand for cloud computing services increase, researchers have been conducting extensive studies to develop and improve the performance in the area of cloud computing. [20][21][22][23][24][25][26] Regarding the importance of the role of the data center in providing service at a cloud environment, a part of these researches [27][28][29][30][31] focuses on developing effective techniques for optimizing data center performance and creating remarkable innovations regarding the virtualization technique, migration and server consolidation have been presented. Despite numerous researches conducted on the server consolidation technique, a thorough research 6 on various server consolidation techniques and approaches is rare.…”

Section: Related Workmentioning

confidence: 99%

“…For example, if energy efficiency is intended, it is possible for some PMs to get into the underload state with a decrease in the workload and by VM migration from the underloaded PM, it is possible to deactivate the PM and that would save energy. If guaranteeing the QoS is intended, some PMs can get into the overload state by an increase in the workload. In such state, the migration of some VMs from the overloaded PM can bring the situation back to normal.…”

Section: Review Of Server Consolidation Techniquesmentioning

confidence: 99%

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Server consolidation techniques in virtualized data centers of cloud environments: A systematic literature review

2018

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Summary At the virtualized data centers, services are presented by active virtual machines (VMs) in physical machines (PMs). The manner in which VMs are mapped to PMs affects the performance of data centers and the energy efficiency. By employing the server consolidation technique, it is possible to configure the VMs on a smaller number of PMs, while the quality of service is guaranteed. In this way, the rate of active PM utilization increases and fewer active PMs would be required. Moreover, the server consolidation technique reacts to the management of underloaded and overloaded PMs by using the VM migration technology. Considering the capabilities of the server consolidation technique and its role in developing the cloud computing infrastructure, many researches have been conducted in this context. Still, a comprehensive and systematic study has not yet been performed on various consolidation techniques to check the capabilities, advantages, and disadvantages of current approaches. In this paper, a systematic study is conducted on a number of credible researches related to server consolidation techniques. In order to do so and by studying the selected works, proposed solutions are categorized based on the type of decision for running the consolidation algorithm in 4 groups of static method, dynamic method, prediction‐based dynamic method, and hybrid method. Thereafter, the advantages and disadvantages of suggested approaches are studied and compared in each research by specifying the technique and idea applied therein. In addition, by categorizing aims of researches and specifying assessment parameters, optimization approaches and type of architecture, a possibility has been provided to get familiarized with the views of the researchers.

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