A probabilistic model for performance analysis of cloud infrastructures

Author:

Chen Peng1,Xia Yunni2,Pang Shanchen3,Li Jia4

Affiliation:

1. College of Computer Science Sichuan University Chengdu 610063 China

2. Software Theory and Technology Chongqing Key Lab Chongqing University Chongqing 400030 China

3. School of Computer and Communication Engineering China University of Petroleum Qingdao 266580 China

4. Chongqing Technology and Business Institute Chongqing 400052 China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Autonomous selection of the fault classification models for diagnosing microservice applications;Future Generation Computer Systems;2024-04

2. An efficient GAN-based predictive framework for multivariate time series anomaly prediction in cloud data centers;The Journal of Supercomputing;2023-07-15

3. An Effective Dynamic Cost-Sensitive Weighting Based Anomaly Multi-classification Model for Imbalanced Multivariate Time Series;Web Information Systems Engineering – WISE 2023;2023

4. Evaluating BERT on cloud-edge time series forecasting and sentiment analysis via prompt learning;2022 IEEE 24th Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys);2022-12

5. Modeling and Performance Analysis of Resource Provisioning in Cloud Computing using Probabilistic Model Checking;Informatica;2021-12-17

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