PRESENCE: Toward a novel approach for performance evaluation of mobile cloud SaaS Web Services

Ibrahim, Abdallah Ali Zainelabden Abdallah; Varrette, Sébastien; Bouvry, Pascal

doi:10.1109/icoin.2018.8343082

Cited by 8 publications

(4 citation statements)

References 11 publications

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“…is article is an extended version of [14], presented at the 32nd IEEE International Conference of Information Networks (ICOIN), 2018. In particular, Figures 1-6 are reproduced from [14].…”

Section: Data Availabilitymentioning

confidence: 99%

“…e appropriate performance modeling depicted in this paper is crucial for the accuracy and dynamic adaptation expected within the stealth module of PRESENCE, which will be the object of another article. is article is an extended version of our presented paper during the 32nd IEEE International Conference of Information Networks (ICOIN), 2018 [14], which received the best paper award. Compared to this initial paper, the present article details the modelling of the Web Services performance metrics and brings 19 generated models, out of which 78.9% accurately represent the WS performance metrics for the two SaaS WSs.…”

Section: Introductionmentioning

confidence: 99%

“…Infrastructure deployed to validate the PRESENCE framework. e figure is reproduced from Ibrahim et al[14] (under the Creative Commons Attribution License/public domain).…”

mentioning

confidence: 99%

“…From the preliminary modelling of the load pattern and performance metrics of each agent, a stealth module takes care of finding through a GA the best set of parameters for each agent such that the resulting pattern of the PRESENCE client is indistinguishable from a regular usage. While the complete framework is described in the seminal paper for PRESENCE [14], the first experimental results presented in this work focus on the performance and networking metrics between cloud providers and cloud customers.…”

mentioning

confidence: 99%

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PRESENCE: Monitoring and Modelling the Performance Metrics of Mobile Cloud SaaS Web Services

Ibrahim

Wasim

Varrette

et al. 2018

Mobile Information Systems

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Service Level Agreements (SLAs) are defining the quality of the services delivered from the Cloud Services Providers (CSPs) to the cloud customers. The services are delivered on a pay-per-use model. The quality of the provided services is not guaranteed by the SLA because it is just a contract. The developments around mobile cloud computing and the advent of edge computing technologies are contributing to the diffusion of the cloud services and the multiplication of offers. Although the cloud services market is growing for the coming years, unfortunately, there is no standard mechanism which exists to verify and assure that delivered services satisfy the signed SLA agreement in an automatic way. The accurate monitoring and modelling of the provided Quality of Service (QoS) is also missing. In this context, we aim at offering an automatic framework named PRESENCE, to evaluate the QoS and SLA compliance of Web Services (WSs) offered across several CSPs. Yet unlike other approaches, PRESENCE aims at quantifying in a fair and by stealth way the performance and scalability of the delivered WS. This article focuses on the first experimental results obtained on the accurate modelisation of each individual performance metrics. Indeed, 19 generated models are provided, out of which 78.9% accurately represent the WS performance metrics for two representative SaaS web services used for the validation of the PRESENCE approach. This opens novel perspectives for assessing the SLA compliance of Cloud providers using the PRESENCE framework.

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“…is article is an extended version of [14], presented at the 32nd IEEE International Conference of Information Networks (ICOIN), 2018. In particular, Figures 1-6 are reproduced from [14].…”

Section: Data Availabilitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Infrastructure deployed to validate the PRESENCE framework. e figure is reproduced from Ibrahim et al[14] (under the Creative Commons Attribution License/public domain).…”

mentioning

confidence: 99%

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confidence: 99%

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