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Providing Performance Guarantees for Cloud-Deployed Applications.

, , , , and . IEEE Trans. Cloud Computing, 8 (1): 269-281 (2020)

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User-Centric Interference-Aware Load Balancing for Cloud-Deployed Applications., and . IEEE Trans. Cloud Comput., 10 (1): 736-748 (2022)Analyzing the Network for AWS Distributed Cloud Computing., and . SIGMETRICS Perform. Evaluation Rev., 43 (3): 12-15 (2015)Analyzing the Power Consumption of the Mobile Page Load., , , , and . SIGMETRICS, page 369-370. ACM, (2016)B-MEG: Bottlenecked-Microservices Extraction Using Graph Neural Networks., , , , and . ICPE (Companion), page 7-11. ACM, (2022)BBR Bufferbloat in DASH Video., , , , and . WWW, page 329-341. ACM / IW3C2, (2021)Modeling the Impact of Workload on Cloud Resource Scaling., , , , and . SBAC-PAD, page 310-317. IEEE Computer Society, (2014)Optimizing Near-Data Processing for Spark., , , , , , , and . ICDCS, page 636-646. IEEE, (2022)Modeling and Analysis of Performance Under Interference in the Cloud., , and . MASCOTS, page 232-243. IEEE Computer Society, (2017)A Model-Driven Graybox Approach to Rehoming Service Chains., , , , and . MASCOTS, page 116-122. IEEE Computer Society, (2018)SOFTScale: Stealing Opportunistically for Transient Scaling., , , and . Middleware, volume 7662 of Lecture Notes in Computer Science, page 142-163. Springer, (2012)