Performance Modelling of Virtualized Servers

Gemikonakli, Orhan; Ever, Enver; Gemikonaklı, Eser

doi:10.1109/uksim.2010.86

Cited by 5 publications

(7 citation statements)

References 9 publications

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“…Each cloud provider is modeled by an M/M/1 queue, serving a common pool of potential cloud users with one "super" server, which combines the resource capacity of multiple physical servers that the provider manages. When it comes to analyzing the response time exhibited when processing requests as a function of the computational capacity and the request arrival rate, the M/M/1 queuing model has been adopted by a number of existing papers in the literature that analyzed datacenter operations [18], [19], [20], [21]. The resource capacity of each cloud provider i is represented by its service rate i .…”

Section: System Modelmentioning

confidence: 99%

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers

Feng

2014

IEEE Trans. Comput.

121

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Oligopoly can be defined as a market model of the imperfect competition type, assuming the existence of only a few companies in a sector or industry, from which at least some have a significant market share and can therefore influence the production prices in the market. Many models of oligopoly that differ from one another mostly in the nature of the competitive companies' behaviour can be found through the study of oligopolistic structures. Some models describe only the behaviour of two companies in the monitored market (duopoly), others describe several companies of the same power (cartel), still others assume that one of the companies has a dominant position in the market, etc. The text of this article deals with oligopolistic competition in the food market in the terms of the behaviour of grocers and with the impact of this competition upon the market competition in the sector. First, it mentions the agreements on common cooperation and procedure, when cartel market structure originates. It also analyzes the examples of behaviour of oligopoly with a dominant firm on the market with products in the food sector, with the goal of detecting whether the market with these products is significantly influenced by the oligopolistic behaviour of companies.

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Section: System Modelmentioning

confidence: 99%

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers

Feng

2014

IEEE Trans. Comput.

121

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“…Several papers in the literature discuss software implementation and operating systems' specification in the sever virtualization [49][50][51][52][53][54][55]. In this section, we study analytical modelling of virtualized servers' performance, according to [1]. We compare a model for a virtualized server to a model for a non-virtualized one.…”

Section: Performance Modelling Of Virtualized Serversmentioning

confidence: 99%

“…In the second model which is also discussed in [1], we have two servers. However, different from the previous scenario, these are two virtual servers running on a single physical machine.…”

Section: A Model For Virtualized Serversmentioning

confidence: 99%

“…Figure 2.5 reveals the mean service rate is μ if only one of the servers is active, while the mean service rate is μ 2 when two servers are both active. In this case the authors in [1] derived a heuristic algorithm which iteratively tries to find an accurate amount for state probabilities and performance metrics.…”

Section: A Model For Virtualized Serversmentioning

confidence: 99%

“…Queue model for virtual servers[1] relatively important when the idle time for each of the virtual servers is large. Hence, the previously described model is not a true behaviour reflection from what actually happens in virtual servers.…”

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confidence: 99%

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Energy Optimization for Virtualized Network Environments

Ghazisaeedi¹

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Information and Communication Technology (ICT) has been estimated to consume 10% of the total energy consumption in industrial countries. According to the latest measurements, this amount is rapidly increasing by 6% annually. With the evolved new business model in which Service Providers (SPs) are separated from Infrastructure Providers (InPs), Virtualized Network Environments (VNEs) have been regarded as a promising technology for flexibly utilizing shared communication network resources. VNEs also play a fundamental role toward virtualizing data centers. In this thesis, we suggest different feasible solutions to optimize the energy consumption in a VNE. In this regard, first, we review the corresponding literature in regard to the architecture of a VNE, its performance modelling, several power models, and also existing energy-saving solutions for VNEs. We approach the objective of optimizing the energy consumption in a VNE by defining and solving two main problems. The first problem optimizes the energy consumption in a VNE during the off-peak period. This is feasible by reconfiguring the mapping of already embedded virtual networks for the off-peak time. This is planned in two smaller and simpler sub-problems with increasing the complexity and higher energy-saving levels. Our solutions enable the providers to adjust the level of the reconfiguration and accordingly control the possible traffic disruptions. In the second problem, we propose a novel energy-efficient embedding method that maps heterogeneous MapReduce-based virtual networks onto a heterogeneous data center physical network, energy-wise. We introduce a new incast problem that specifically may happen in Virtualized Data Centers (VDCs). The proposed embedding process also controls the incast queueing delay.ii

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Evaluating the Performance and Power Consumption of Systems with Virtual Machines

Lent

2011

2011 IEEE Third International Conference on Cloud Computing Technology and Science

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Performance Modelling of Virtualized Servers

Cited by 5 publications

References 9 publications

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers

Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers

Energy Optimization for Virtualized Network Environments

Evaluating the Performance and Power Consumption of Systems with Virtual Machines

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