Dynamic Scaling of Web Applications in a Virtualized Cloud Computing Environment

Chieu, T. C.; Mohindra, Ajay; Karve, Alexei; Segal, Alla

doi:10.1109/icebe.2009.45

Cited by 230 publications

(145 citation statements)

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“…Another work in [24] described the scalability of cloud-based applications. This work presented a survey consisting of a front-end load balances to route and balance user requests to web applications deployed on web servers in virtual machine instances in the cloud.…”

Section: Related Workmentioning

confidence: 99%

“…This work presented a survey consisting of a front-end load balances to route and balance user requests to web applications deployed on web servers in virtual machine instances in the cloud. Our work furthers the cloud-based application hosting state-of-the-art described in [24] by utilizing the cloud-based Microsoft Azure resources. Thus, with growing volumes of could-based service calls, more resources can be allocated by the Microsoft Azure platforms, thereby reducing costs of resource allocation to match the necessity.…”

Section: Related Workmentioning

confidence: 99%

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Azure-Based Smart Monitoring System for Anemia-Like Pallor

2017

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Increasing costs of diagnostic healthcare have necessitated the development of hardware independent non-invasive Point of Care (POC) systems. Although anemia prevalence rates in global populations vary between 10% and 60% in various demographic groups, smart monitoring systems have not yet been developed for screening and tracking anemia-like pallor. In this work, we present two cloud platform-hosted POC applications that are directed towards smart monitoring of anemia-like pallor through eye and tongue pallor site images. The applications consist of a front-end graphical user interface (GUI) module and two different back-end image processing and machine learning modules. Both applications are hosted on a browser accessible tomcat server ported to an Azure Virtual Machine (VM). We observe that the first application spatially segments regions of interest from pallor site images with higher pallor classification accuracy and relatively longer processing times when compared to the lesser accurate yet faster second application. Also, both applications achieve 65-98% accuracy in separating normal images from images with pallor or abnormalities. The optimized front-end module is significantly light-weight with a run-through time ratio of 10 −5 with respect to the back-end modules. Thus, the proposed applications are portable and hardware independent, allowing for their use in pallor monitoring and screening tasks.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Azure-Based Smart Monitoring System for Anemia-Like Pallor

2017

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“…Vários pesquisadores investigam abordagens para usar Metaescalonadores, Brokers ou Coordenadores em um ambiente colaborativo de computação de alto desempenho 1.3 Objetivo Geral 3 (Quiroz et al, 2009) (Zhu e Agrawal, 2010) (Chieu et al, 2009) (Singhal et al, 2011) (Bi et al, 2010) (Rodero et al, 2010) (Jung et al, 2010) (Nguyen Van et al, 2009) (Cardosa et al, 2009) (Gmach et al, 2009). Esses autores apresentam e discutem várias implementações, ferramentas e tecnologias para oferecer QoS nesses ambientes.…”

Section: Motivaçãounclassified

“…Vários estudos na literatura (Chieu et al, 2009), (Foster et al, 2008), (Leavitt, 2009), (Rimal et al, 2009) tem agrupado os serviços oferecidos pela Computação em Nuvem em três categorias. A primeira considera o Software como um Serviço (SaaS), caso em que o software que antes era instalado no computador do usuário, passa a ser fornecido como um serviço.…”

Section: Modelos De Computação Em Nuvensunclassified