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Performance interference of co-allocated applications in cloud computing: a systematic literature review
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DOI：10.1016/j.jpdc.2026.105268.png)
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Abstract
En 中文
Several efforts have been made to study the nature of performance interference in co-allocated applications running in different environments. Such performance interference degrades the performance of co-allocated applications. Several researchers propose different methods and techniques to predict/analyze the performance of applications under different levels of interference. Hardware counters, virtual machine monitor metrics and third-party tools are commonly used to provide the input data for prediction techniques. The study of performance interference is useful for understanding, preventing, and minimizing application throughput degradation. This paper presents a systematic review of the literature on methods for predicting/analyzing performance interference that degrades application performance, which were published in the open literature during the period 2000-2025. We define two complementary classification frameworks. The first framework categorizes the analyzed articles according to the methods employed, while the second classifies them based on the platforms and tools used, along with other relevant characteristics. In addition, we identify some directions and trends in performance interference, as well as some issues that require further research. Finally, we propose a practical guide to help researchers and practitioners select methods and tools according to their needs.
Keywords:
performance interference
co-allocated applications
cloud computing
systematic literature review
prediction methods
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