Evaluation of cloud autoscaling strategies under different incoming workload patterns

[1]  Jan Sedivý,et al.  Modifying CloudSim to accurately simulate interactive services for cloud autoscaling , 2017, Concurr. Comput. Pract. Exp..

[2]  Rajkumar Buyya,et al.  NetworkCloudSim: Modelling Parallel Applications in Cloud Simulations , 2011, 2011 Fourth IEEE International Conference on Utility and Cloud Computing.

[3]  Aniruddha S. Gokhale,et al.  Efficient Autoscaling in the Cloud Using Predictive Models for Workload Forecasting , 2011, 2011 IEEE 4th International Conference on Cloud Computing.

[4]  Rajkumar Buyya,et al.  ContainerCloudSim: An environment for modeling and simulation of containers in cloud data centers , 2017, Softw. Pract. Exp..

[5]  Mor Harchol-Balter,et al.  AutoScale: Dynamic, Robust Capacity Management for Multi-Tier Data Centers , 2012, TOCS.

[6]  Marco Aurélio Stelmar Netto,et al.  Impact of user patience on auto-scaling resource capacity for cloud services , 2016, Future Gener. Comput. Syst..

[7]  Dana Petcu,et al.  Workloads in the clouds , 2016 .

[8]  Thilo Kielmann,et al.  Autoscaling Web Applications in Heterogeneous Cloud Infrastructures , 2014, 2014 IEEE International Conference on Cloud Engineering.

[9]  Marco L. Della Vedova,et al.  A Methodological Approach for Time Series Analysis and Forecasting of Web Dynamics , 2019, Trans. Comput. Collect. Intell..

[10]  Mariacarla Calzarossa,et al.  Workload Characterization , 2016, ACM Comput. Surv..

[11]  Alexandru Iosup,et al.  An Experimental Performance Evaluation of Autoscalers for Complex Workflows , 2018, ACM Trans. Model. Perform. Evaluation Comput. Syst..

[12]  Marco Aurélio Stelmar Netto,et al.  Evaluating Auto-scaling Strategies for Cloud Computing Environments , 2014, 2014 IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems.

[13]  Daniele Tessera,et al.  Cloud autoscaling for HTTP/2 workloads , 2017, 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech).

[14]  José Antonio Lozano,et al.  A Review of Auto-scaling Techniques for Elastic Applications in Cloud Environments , 2014, Journal of Grid Computing.

[15]  Ming Mao,et al.  A Performance Study on the VM Startup Time in the Cloud , 2012, 2012 IEEE Fifth International Conference on Cloud Computing.

[16]  Rajkumar Buyya,et al.  CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms , 2011, Softw. Pract. Exp..

[17]  Stephen Dawson,et al.  Markovian Workload Characterization for QoS Prediction in the Cloud , 2011, 2011 IEEE 4th International Conference on Cloud Computing.

[18]  Jitendra Kumar,et al.  Workload prediction in cloud using artificial neural network and adaptive differential evolution , 2018, Future Gener. Comput. Syst..

[19]  Paolo Bellavista,et al.  Cloud Resource Management With Turnaround Time Driven Auto-Scaling , 2017, IEEE Access.

[20]  Waheed Iqbal,et al.  Dynamic workload patterns prediction for proactive auto-scaling of web applications , 2018, J. Netw. Comput. Appl..

[21]  Philippe Merle,et al.  Elasticity in Cloud Computing: State of the Art and Research Challenges , 2018, IEEE Transactions on Services Computing.

[22]  Dariusz Rafal Augustyn,et al.  Improvements of the Reactive Auto Scaling Method for Cloud Platform , 2017, CN.

[23]  Fairouz Fakhfakh,et al.  Simulation tools for cloud computing: A survey and comparative study , 2017, 2017 IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS).

[24]  Carlos Becker Westphall,et al.  Cloud resource management: A survey on forecasting and profiling models , 2015, J. Netw. Comput. Appl..

[25]  Rajkumar Buyya,et al.  Auto-Scaling Web Applications in Clouds , 2018, ACM Comput. Surv..

[26]  Jian Li,et al.  Workload-Aware Credit Scheduler for Improving Network I/O Performance in Virtualization Environment , 2014, IEEE Transactions on Cloud Computing.

[27]  Rajkumar Buyya,et al.  Workload modeling for resource usage analysis and simulation in cloud computing , 2015, Comput. Electr. Eng..

[28]  Rajkumar Buyya,et al.  CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications , 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

[29]  Johan Tordsson,et al.  An adaptive hybrid elasticity controller for cloud infrastructures , 2012, 2012 IEEE Network Operations and Management Symposium.

[30]  Parijat Dube,et al.  Model-Driven Autoscaling for Hadoop Clusters , 2015, 2015 IEEE International Conference on Autonomic Computing.

[31]  Chung-Horng Lung,et al.  An autonomic prediction suite for cloud resource provisioning , 2017, Journal of Cloud Computing.