A survey on energy aware VM consolidation strategies

Hamdi, Najet; Chainbi, Walid

doi:10.1016/j.suscom.2019.06.003

Cited by 16 publications

(5 citation statements)

References 13 publications

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“…This leverage is an excellent candidate for combining with other leverages such as shutdown or sleep states to maximize its impact. The workload migration leverage has significant time and energy costs that must be considered (Hamdi and Chainbi, 2019).…”

Section: Heterogeneous Environmental Leveragementioning

confidence: 99%

Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management

Ostapenco

Lefèvre

Orgerie

et al. 2023

The International Journal of High Performance Computing Applica

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Data centers are very energy-intensive facilities that can generate various environmental impacts. Numerous energy, power, and environmental leverages exist and can help cloud providers and data center managers to reduce some of these impacts. But dealing with such heterogeneous leverages can be a challenging task that requires some support from a dedicated framework. This article presents a new approach for modeling, evaluating, and orchestrating a large set of technological and logistical leverages. Our framework is based on leverages modeling and Gantt chart leverages mapping. First experimental results based on selected scenarios show the pertinence of the proposed approach in terms of management facilities and potential impacts reduction.

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Section: Heterogeneous Environmental Leveragementioning

confidence: 99%

Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management

Ostapenco

Lefèvre

Orgerie

et al. 2023

The International Journal of High Performance Computing Applica

View full text Add to dashboard Cite

show abstract

“…E2C2 could be improved by 'sorting' cloud providers according to the total energy consumption of their respective services. According to Hamdi et al [34], high energy usage has a negative impact on cost and the environment. They have emphasized VM consolidation strategies in several dimensions.…”

Section: Related Workmentioning

confidence: 99%

A New Reliable System For Managing Virtual Cloud Network

Alshathri¹,

Talaat²,

Nasr³

2022

Computers, Materials &Amp; Continua

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Virtual cloud network (VCN) usage is popular today among large and small organizations due to its safety and money-saving. Moreover, it makes all resources in the company work as one unit. VCN also facilitates sharing of files and applications without effort. However, cloud providers face many issues in managing the VCN on cloud computing including these issues: Power consumption, network failures, and data availability. These issues often occur due to overloaded and unbalanced load tasks. In this paper, we propose a new automatic system to manage VCN for executing the workflow. The new system called Multi-User Hybrid Scheduling (MUSH) can solve running issues and save power during workflow execution. It consists of three phases: Initialization, virtual machine allocation, and task scheduling algorithms. The MUSH system focuses on the execution of the workflow with deadline constraints. Moreover, it considers the utilization of virtual machines. The new system can save makespan and increase the throughput of the execution operation.

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“…In recent years, various studies have investigated energy efficiency in cloud data centers [6,10,[18][19][20][21][22][23][24][25][26][27][28][29][30]. The majority of the existing VM consolidation methods only focus on balancing the trade-off between the SLA performance desired by the customers and the energy consumed by the servers [6,24,31].…”

Section: Lecture Reviewmentioning

confidence: 99%

DBSHD: Dynamic Burst-aware Source Host Detection in the Cloud

Rahmani

Khajehvand

Torabian

2022

Preprint

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One of the essential phases during the Virtual Machine (VM) consolidation is to detect the source (underloaded and overloaded) hosts. Bursts with a sudden and transient increase in the workload have an adverse effect on this process. Also, burst-aware methods for detecting the overloaded and underloaded hosts play a key role in achieving performance and energy efficiency tradeoffs in the cloud computing systems. In this study, we deal with these methods as an open issue in the resource management process. We present a dynamic burst-aware method for detecting the overloaded and underloaded hosts. The principal idea in our proposed method is to keep the weighted average load of the hosts within a dynamic range. The thresholds and weights (impact factors) are obtained from the analysis of the historical data related to hosts. Furthermore, we have used the CloudSim simulator and PlanetLab real-world dataset in order to measure the performance of our proposed method. The simulation results verify the superiority of the proposed technique in achieving performance and energy efficiency tradeoffs, compared to the benchmark methods.

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A survey on energy aware VM consolidation strategies

Cited by 16 publications

References 13 publications

Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management

Modeling, evaluating, and orchestrating heterogeneous environmental leverages for large-scale data center management

A New Reliable System For Managing Virtual Cloud Network

DBSHD: Dynamic Burst-aware Source Host Detection in the Cloud

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