Leveraging Potential of Cloud for Software Performance Testing

Markande, Krishna; Murthy, Sridhar J.

doi:10.1007/978-1-4471-5107-4_14

Cited by 4 publications

(4 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By setting up a test environment that accurately reflects the production hybrid cloud environment and utilizing appropriate monitoring tools, testers can ensure reliable and precise performance testing results. This allows organizations to identify potential performance bottlenecks, validate the system's performance objectives and make informed decisions regarding resource allocation and optimization (Markande & Murthy, 2013).…”

Section: Methodsmentioning

confidence: 99%

Performance Testing for Hybrid Cloud Environments

Ramu¹

2023

RCSAS

View full text Add to dashboard Cite

Hybrid cloud architectures have gained significant traction in recent years due to their ability to combine the benefits of public and private clouds. However, ensuring optimal performance in hybrid cloud environments presents unique challenges. This paper addresses the need for effective performance testing in hybrid cloud setups. It begins by discussing the key factors that impact performance, including network latency, resource allocation, workload management and data transfer. Realistic workload simulations and appropriate performance metrics are highlighted as crucial elements for accurate performance assessment. The paper then presents a comprehensive methodology for conducting performance testing in hybrid cloud environments. This methodology covers steps such as defining performance objectives, identifying workload patterns, designing test scenarios, selecting performance metrics, setting up a test environment, executing tests, analyzing results, optimizing performance and conducting iterative testing. Practical strategies, including auto-scaling mechanisms, caching, content delivery networks and efficient data synchronization techniques, are discussed to optimize performance in hybrid cloud setups. The importance of empirical studies and future research directions are emphasized to validate and enhance the proposed methodology. These include exploring advanced workload modeling techniques, adaptive testing approaches and addressing specific challenges related to hybrid cloud architectures. By adopting the methodology and recommendations presented in this paper, organizations can evaluate and optimize the performance of their hybrid cloud environments, resulting in enhanced efficiency, scalability and reliability. Ultimately, effective performance testing is crucial for unlocking the full potential of hybrid cloud deployments and achieving business success in the dynamic and evolving cloud landscape.

show abstract

Section: Methodsmentioning

confidence: 99%

Performance Testing for Hybrid Cloud Environments

Ramu¹

2023

RCSAS

View full text Add to dashboard Cite

show abstract

“…The availability of many and relatively cheap resources in the cloud makes performance testing easier, thus many frameworks have been developed addressing the objective of performance testing [35], [116], [75], [103], [112], [153], [58], [102]. However performance evaluation requires a rigorous planning and the setting of specific configurations to maximize test effectiveness.…”

Section: Testing In the Cloudmentioning

confidence: 99%

“…Many primary studies transfer approaches, methods and infrastructures conceived for traditional testing to the cloud [27]. For instance, the work in [85] migrates concolic test generation, the work in [40] focuses on the use of genetic algorithms for test data generation, the work in [131] proposes usage scenario for the formulation of performance test cases, the work in [102] targets the use of design patterns for performance testing, the work in [60] proposes black-box and gray-box techniques for test input and oracle generation. In addition several papers provide tutorials and informal surveys in the context of cloud testing such as [49], [68], or [119].…”

Section: A Systematic Review On Cloud Testing 1:17mentioning

confidence: 99%

“…Nevertheless from a practical perspective, each enterprise has different applications that can be tested in multiple different ways. The frameworks in [102] and [28] abstract most of the concepts of Enterprise Application testing, and discuss various solutions for leveraging cloud testing of non-functional properties (e.g., performance [102], elasticity and reliability [28]).…”

Section: A Systematic Review On Cloud Testing 1:17mentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Review on Cloud Testing

et al. 2019

View full text Add to dashboard Cite

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.

show abstract