Versatile workload-aware power management performability analysis of server virtualized systems

Escheikh, Mohamed; Barkaoui, Kamel; Jouini, Hana

doi:10.1016/j.jss.2016.12.037

Cited by 10 publications

(13 citation statements)

References 17 publications

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“…The proposed algorithms significantly reduce energy consumption, while ensuring a high level of adherence to the service level agreement. Escheikh et al proposed workload-aware power management (PM) performability analysis of server-virtualized system (SVS) in [9]. This modeling approach delivers a precise description of different entities and features of the SVS and provides effective support for dynamic time-based PM policy enabling opportunistic selection of suitable power states of power manageable component (PMC).…”

Section: Optimization Of Energy Consumption In Cloud Datamentioning

confidence: 99%

Ant Colony Optimization Algorithm to Dynamic Energy Management in Cloud Data Center

Pang

Zhang

et al. 2017

Mathematical Problems in Engineering

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With the wide deployment of cloud computing data centers, the problems of power consumption have become increasingly prominent. The dynamic energy management problem in pursuit of energy-efficiency in cloud data centers is investigated. Specifically, a dynamic energy management system model for cloud data centers is built, and this system is composed of DVS Management Module, Load Balancing Module, and Task Scheduling Module. According to Task Scheduling Module, the scheduling process is analyzed by Stochastic Petri Net, and a task-oriented resource allocation method (LET-ACO) is proposed, which optimizes the running time of the system and the energy consumption by scheduling tasks. Simulation studies confirm the effectiveness of the proposed system model. And the simulation results also show that, compared to ACO, Min-Min, and RR scheduling strategy, the proposed LET-ACO method can save up to 28%, 31%, and 40% energy consumption while meeting performance constraints.

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Section: Optimization Of Energy Consumption In Cloud Datamentioning

confidence: 99%

Ant Colony Optimization Algorithm to Dynamic Energy Management in Cloud Data Center

Pang

Zhang

et al. 2017

Mathematical Problems in Engineering

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“…Numerous other studies have been devoted to system performance [15,16] including reliability [17][18][19], reliability analysis of an embedded cluster system [1], and accessibility (See [20][21][22][23]). Escheikh in [24,25] analyzed the concept of power management performability in order to evaluate the effect on performance and energy consumption in virtualized systems. Basically, software aging and rejuvenation are two of the most critical issues in software systems.…”

Section: Introductionmentioning

confidence: 99%

A software availability model based on multilevel software rejuvenation and markov chain

Ghobadi¹,

Rashidi²

2021

Turk J Elec Eng & Comp Sci

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Increasing use of software, rapid and unavoidable changes in the operational environment bring many problems for software engineers. One of these problems is the aging and degradation of software performance. Software rejuvenation is a proactive and preventive approach to counteract software aging. Generally, when software is initiated, amounts of memory are allocated. Then, the body of software is executed for providing a service and when the software is terminated, the allocated memory is released. In this paper, a rejuvenation model based on multilevel software rejuvenation and Markov chain presented. In this model, the system performance as a result of degraded physical memory and memory usage is divided into four equal levels by services. Hence, we offer four types of policies for software rejuvenation. In addition, the system availability is determined, and a cost function for the model is introduced. The cost function includes the time of performing rejuvenation, the number of system services at any time, and the number of rejuvenation actions. To validate the proposed model, a case study in the banking system in Iran has been studied. Due to the differences in the use of the system over time, it is better to perform the four different policies with regard to the use of the system. The numerical results show that the proposed model is convenient for the system so that the costs are reduced per day.

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“…Jazi et al [10] detecting DOS attacks at the network level and application level on the web server using the Sampling Techniques method. Escheikh et al [11] analyze Server Virtualized Systems (SVS) performance based on analytical non-Markovian versatile SVS using the Stochastic Modeling method. Kim et al [12] implement a web server-based Distributed Machine Collaboration System and compare it with the current Centralized Machine Collaboration System to analyze the response time.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of CloudLinux-based Web Server at the Embassy of the Kingdom of Morocco in Jakarta

Lalengke

Nurhaida

2021

SISFOKOM

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The rapid development of Information Technology (IT) has made a high availability web server a necessity. CloudLinux is a CentOS-based operating system specifically for the needs of servers with good high availability. This study will implement and analyze a CloudLinux-based web server for the Embassy of the Kingdom of Morocco in Jakarta to replace the current CentOS-based web server that does not meet high availability standards. The research methodology used in this study is the PPDIOO Life-cycle from Cisco. Designing a network according to the customer's needs requires identifying several elements in it, including the goals and constraints faced by the organization. Cisco creates a network life-cycle that can help these problems into six phases: Prepare, Plan, Design, Implement, Operate, and Optimize (PPDIOO). This study aims to determine how well the uptime, response time, and load impact are on the CloudLinux-based web server. The uptime test results on the CloudLinux-based web server have a value of an average of 99.971%. Testing the response time on the CloudLinux-based web server has an average value of 684.75ms (milliseconds). The results of the load impact test on the CloudLinux-based web server using ten virtual users (10VU) has a total value of 7595 requests, load impact using fifteen virtual users (15VU) has a total value of 11315 requests, and finally, load impact using twenty-five virtual users (25VU) has a total value of 18631 requests.

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Versatile workload-aware power management performability analysis of server virtualized systems

Cited by 10 publications

References 17 publications

Ant Colony Optimization Algorithm to Dynamic Energy Management in Cloud Data Center

Ant Colony Optimization Algorithm to Dynamic Energy Management in Cloud Data Center

A software availability model based on multilevel software rejuvenation and markov chain

Performance Analysis of CloudLinux-based Web Server at the Embassy of the Kingdom of Morocco in Jakarta

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