Performance modeling and analysis of virtualized multi-tier applications under dynamic workloads

RahimiZadeh, Keyvan; Analoui, Morteza; Kabiri, Peyman; Javadi, Bahman

doi:10.1016/j.jnca.2015.06.020

Cited by 16 publications

(17 citation statements)

References 44 publications

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“…Rahimizadeh et al presented an analytical queuing model to evaluate the QoS metrics of multitier applications in virtualized data centers. Their proposed model introduced queue networking of virtualized multitier applications based on the functionality of individual tiers.…”

Section: Related Workmentioning

confidence: 99%

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FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments

2018

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Recent advancements in web-based application, especially in cloud computing environment, allows cloud service providers to deploy and provide web-based services in the form of multitier applications. One of the most suitable infrastructure for the running of multitier applications is a cloud computing infrastructure. Since the arrival rate of users to the multitier applications varies over the time, deciding about the right amount of resources required to handle the each tier of multitier applications is not trivial, and it depends on the current workload of its each tier. Therefore, it is necessary to automatically provision resources to deal with fluctuating demands of the multitier applications. In this paper, we propose a hybrid resource provisioning approach for multitier applications based on a combination of the concept of the autonomic computing and the fuzzy analytical hierarchy process approach. Moreover, we present a framework based on MAPE-k control loop for autonomous resource provisioning of multitier applications in cloud computing environments. The effectiveness of the proposed approach under real and synthetic workloads was evaluated. The experimental results indicate that the proposed solution outperforms in terms of allocated virtual machines, response time, and cost compared with the other approaches. KEYWORDS autonomic computing, cloud computing, FAHP, multitier applications, resource provisioning, workload prediction INTRODUCTIONCloud computing is one of the most popular technologies in the businesses, educational institutions, governments, and the research community that has become an integral part of many users are heavily dependent on cloud-based applications for their day-to-day activities in both professional and personal lives. 1 Recent advancements in the web-based application, especially in cloud computing environment, allows cloud service providers to deploy and provide web-based services in the form of multitier applications. As the cloud is elastic, it can be used in places where the varying load is one of the main characteristics. [2][3][4] It can also be used where on-demand access is required. Similarly, because of its property of multitenancy, it can be used in places where several applications are to be operated. 5,6 Therefore, one of the most suitable infrastructures for the running of multitier applications is cloud computing infrastructures. On the other hand, since the arrival rate of users to the multitier applications varies over the time, deciding about the right amount of resources Softw Pract Exper. 2018;48:2147-2173.wileyonlinelibrary.com/journal/spe

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Section: Related Workmentioning

confidence: 99%

“…A popular architecture of this type usually consists of three tiers: web tier, application tier, and database tier, as shown in Figure . The advantage of such an architecture is that it can provide a high level of scalability and reliability . Each tier provides a certain functionality.…”

Section: Introductionmentioning

confidence: 99%

FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments

2018

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“…Each tier provides a predefined service to the successor tier and receives services from its preceding tier. An 3-tiers application used in [23] is illustrated as an example in Fig.1. The 3-tiers application consist of the web-tier, application-tier and data-tier: the web-tier receives requests from end-users and provide them to access the applications; the application-tier receive requests from the Web-tier and look up information in the database; The data-tier basically stores applications data.…”

Section: Multi-tiers Application Modelmentioning

confidence: 99%

“…However, modern Internet applications actually shows process feature, which means that the application is consisted by multiple tiers and each application tier provides certain function to its preceding tier and uses the functionality provided by its successor to carry out its part of the overall application process [20,21], but the above works ignored the multi-tiers application process. Although some researchers analyzed the performance of multi-tiers application [22,23], they are basically based on queuing theory and difficult to evaluate the performance of whole network.…”

Section: Introductionmentioning

confidence: 99%

The influence of application processes on performance reliability

Zhang

Huang

et al. 2018

MATEC Web Conf.

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Application process has significant influence on network performance reliability, however, previous studies mainly focus on the impact of network characteristics (such as routing and traffic) on network performance reliability and ignore the influence of application process. In this paper, a multi-tiers model is proposed to capture the process of application. Furthermore, an application paths matrix is proposed to describe all the transmission paths of the application process in the network. Based on the application paths matrix, the boundary of the critical point of the traffic generation rate is derived theoretically, below the lower limit of the boundary the network stays in free-flow state and is reliable, while above the upper limit of the boundary the congestion occurs and the network performance reliability decreases. Furthermore, the effect of the boundary is verified in numerical simulations. The simulation results also show that congestions occurred in middle-tier host nodes could bring more influence on the network performance reliability.

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“…The work in [48] presented a sophisticated method for cloud computing resource evaluation based on entropy optimization considering the inherent uncertainty. The work in [49] proposed an analytical model for resource provisioning for multi-tiered applications. The work in [50] presented a fairly exhaustive survey on various resource management strategies proposed in the literature and the practices prevalent in the industry by various CSPs.…”

Section: Pricing For Cloud Servicesmentioning

confidence: 99%

Economic and environmental sustainability for cloud computing systems : strategies and algorithms

Paul¹

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Sanjay Bose from Indian Institute of Technology, for his precious inputs and valuable suggestions. They are the ones who taught me the art of writing scientific articles and helped me navigating through the process of publication. I would also like to thank the laboratory technicians at Communication Lab-III. My friends, peers, juniors and seniors owe me big thanks for supporting me in various ways. Finally, I would like to thank my parents and sister whose love and support have always been the greatest inspiration for me. I would like to dedicate this thesis to my 'Dadu' who taught me the beauty of Mathematics, during my childhood days. 4.6.2 Comparison between Min-OpC, Min-CapOpC and their respective offline counterparts……………………………………………….…………………………….127 4.6.3 Improvements after applying IDD.

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Performance modeling and analysis of virtualized multi-tier applications under dynamic workloads

Cited by 16 publications

References 44 publications

FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments

FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments

The influence of application processes on performance reliability

Economic and environmental sustainability for cloud computing systems : strategies and algorithms

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