Adaptive Resource Provisioning and Auto-scaling for Cloud Native Software
暂无分享,去创建一个
[1] Vlado Stankovski,et al. Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review , 2018, J. Syst. Softw..
[2] Wlodzimierz Funika,et al. Dynamic Business Metrics-driven Resource Provisioning in Cloud Environments , 2011, PPAM.
[3] Matt W. Mutka,et al. Classification of Service Discovery in Pervasive Computing Environments , 2003 .
[4] Claus Pahl,et al. Workload Patterns for Quality-Driven Dynamic Cloud Service Configuration and Auto-Scaling , 2014, 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing.
[5] Samuel Kounev,et al. Elasticity in Cloud Computing: What It Is, and What It Is Not , 2013, ICAC.
[6] Michael Abd-El-Malek,et al. Omega: flexible, scalable schedulers for large compute clusters , 2013, EuroSys '13.
[7] Ram Krishnan,et al. Time Series Forecasting of Cloud Data Center Workloads for Dynamic Resource Provisioning , 2015, J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl..
[8] Frank Leymann,et al. Cloud Computing Patterns , 2014, Springer Vienna.
[9] B. Snaith,et al. Emergency ultrasound in the prehospital setting: the impact of environment on examination outcomes , 2011, Emergency Medicine Journal.
[10] Josef Spillner,et al. Self-managing cloud-native applications: Design, implementation, and experience , 2017, Future Gener. Comput. Syst..
[11] Hamzeh Khazaei,et al. Elascale: autoscaling and monitoring as a service , 2017, CASCON.
[12] Rami Bahsoon,et al. Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services , 2016, IEEE Transactions on Services Computing.
[13] Maryam Amiri,et al. Survey on prediction models of applications for resources provisioning in cloud , 2017, J. Netw. Comput. Appl..
[14] Abhishek Verma,et al. Large-scale cluster management at Google with Borg , 2015, EuroSys.
[15] Chung-Horng Lung,et al. An autonomic prediction suite for cloud resource provisioning , 2017, Journal of Cloud Computing.
[16] Frank Leymann,et al. CAP-Oriented Design for Cloud-Native Applications , 2012, CLOSER.
[17] Nane Kratzke,et al. Understanding cloud-native applications after 10 years of cloud computing - A systematic mapping study , 2017, J. Syst. Softw..
[18] Anshul Gandhi,et al. Using machine learning for black-box autoscaling , 2016, 2016 Seventh International Green and Sustainable Computing Conference (IGSC).
[19] P. Mell,et al. The NIST Definition of Cloud Computing , 2011 .
[20] René Peinl,et al. Docker Cluster Management for the Cloud - Survey Results and Own Solution , 2016, Journal of Grid Computing.
[21] Ch. Aswani Kumar,et al. Predictive Cloud resource management framework for enterprise workloads , 2016, J. King Saud Univ. Comput. Inf. Sci..
[22] José Antonio Lozano,et al. A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments , 2014, Journal of Grid Computing.