Server Consolidation Techniques in Virtualized Data Centers: A Survey

Varasteh, Amir; Goudarzi, Maziar

doi:10.1109/jsyst.2015.2458273

Cited by 128 publications

(81 citation statements)

References 98 publications

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“…The energy consumption results in high operational cost and large impact on the environment. It is expected that the electricity demand for datacenters to rise more than 66% over the period 2011-2035 [1]. As a result, there has been significant research on how to reduce power consumption of the datacenters.…”

Section: Introductionmentioning

confidence: 99%

Energy efficient temporal load aware resource allocation in cloud computing datacenters

Vakilinia

2018

J Cloud Comp

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Section: Introductionmentioning

confidence: 99%

Energy efficient temporal load aware resource allocation in cloud computing datacenters

Vakilinia

2018

J Cloud Comp

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“…Coupled with VM migration, it is also used to isolate physical hardware so that it can be repaired. Varasteh and Goudarzi [2015] present a survey of the various techniques that have been proposed for server consolidation. As a part of their infrastructure maintenance, cloud providers have to routinely patch the VMs and hypervisors with the latest updates.…”

Section: Management Operations In Virtualized Data Centersmentioning

confidence: 99%

Handling Boot Storms in Virtualized Data Centers—A Survey

Samant

Bellur

2016

ACM Comput. Surv.

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Large-scale virtual machine (VM) deployment in virtualized data centers is a very slow process. This is primarily due to the resource bottlenecks that are created at the storage, network, and host physical machines when a large number of VMs are requested simultaneously. For companies that provide virtual desktops to their employees, it is common to encounter such requests each day, when their employees turn up for work. In addition, a large number of VMs are often required to be deployed instantly, in order to absorb a spike in the workload, at online e-commerce websites. In such scenarios, long deployment times are unacceptable, and reducing them is of paramount importance. In this article, we first abstract out the key techniques suggested in the literature to speed up this deployment process. We follow this with a classification of these techniques into a taxonomy and propose a framework that can be used to compare them. Finally, we identify problem areas that warrant further research and bring out the shortcomings of the current state-of-the-art solutions.

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“…In 2010, the energy consumption in data centers approximately equaled 1.3% of the world energy consumption . Moreover, it is predicted that the world electricity demand for data centers would face a 66% rise from 2011 to 2035 . Therefore, it is necessary to take action for an optimal management of data centers …”

Section: Introductionmentioning

confidence: 99%

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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Server Consolidation Techniques in Virtualized Data Centers: A Survey

Cited by 128 publications

References 98 publications

Energy efficient temporal load aware resource allocation in cloud computing datacenters

Energy efficient temporal load aware resource allocation in cloud computing datacenters

Handling Boot Storms in Virtualized Data Centers—A Survey

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

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