SLA evaluation in cloud-based data-centric distributed services

Ravindran, K.; Iannelli, Michael

doi:10.1109/icccn.2014.6911762

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…Analyzing the results of this systematic survey we can conclude that performance is the main objective for testing cloud-based systems. This happens 20 times in the list of selected papers [32], [97], [167], [2], [70], [124], [55], [118], [117], [158], [87], [127], [34], [7], [96], [6], [74], [65], [95], [67]. Some performance indicators assessed in these studies include response time, average latency, or execution time, to name a few.…”

Section: Rq1mentioning

confidence: 99%

A Systematic Review on Cloud Testing

et al. 2019

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A systematic literature review is presented that surveyed the topic of cloud testing over the period 2012--2017. Cloud testing can refer either to testing cloud-based systems (testing of the cloud) or to leveraging the cloud for testing purposes (testing in the cloud): both approaches (and their combination into testing of the cloud in the cloud) have drawn research interest. An extensive paper search was conducted by both automated query of popular digital libraries and snowballing, which resulted in the final selection of 147 primary studies. Along the survey, a framework has been incrementally derived that classifies cloud testing research among six main areas and their topics. The article includes a detailed analysis of the selected primary studies to identify trends and gaps, as well as an extensive report of the state-of-the-art as it emerges by answering the identified Research Questions. We find that cloud testing is an active research field, although not all topics have received enough attention and conclude by presenting the most relevant open research challenges for each area of the classification framework.

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