مدیریت کشسانی منابع با استفاده از کنترل کننده فازی مبتنی بر تغییرات حد آستانه در محیط رایانش ابری

[1]     M. Beltrán, “BECloud: A New Approach to Analyse Elasticity Enablers of Cloud Services,” Future Generation Computer Systems, vol. 64, pp. 39-49, 2016.##

[2]     Y. Tan, H. Nguyen, Z. Shen, X. Gu, C. Venkatramani, and D. Rajan, “Prepare: Predictive Performance Anomaly Prevention for Virtualized Cloud Systems,” In 2012 IEEE 32nd Int. Conf. on Distributed Computing Systems, pp. 285-294, 2012.##

[3]     E. Barrett, E. Howley, and J. Duggan, “Applying Reinforcement Learning Towards Automating Resource Allocation and Application Scalability in the Cloud,” Concurrency and Computation: Practice and Experience,vol. 25, pp. 1656-1674, 2013.##

[4]     L. R. Moore, K. Bean, and T. Ellahi, “Transforming reactive Auto-Scaling Into Proactive Auto-Scaling,” In Proc. of the 3rd Int. Workshop on Cloud Data and Platforms, pp. 7-12, 2013.##

[5]     P. D. Kaur and I. Chana, “A Resource Elasticity Framework for QoS-aware Execution of Cloud Applications,” Future Generation Computer Systems,vol. 37, pp. 14-25, 2014.##

[6]     E. B. Lakew, C. Klein, F. Hernandez-Rodriguez, and E. Elmroth, “Towards Faster Response Time Models for Vertical Elasticity,” In 2014 IEEE/ACM 7th Int. Con. on Utility and Cloud Computing, pp. 560-565, 2014.##

[7]     G. A. Moreno, J. Cámara, D. Garlan, and B. Schmerl, “Proactive Self-adaptation under Uncertainty: A Probabilistic Model Checking Approach,” In Proc. of the 2015 10th Joint Meeting on Foundations of Software Engineering, pp. 1-12, 2015.##

[8]     L. Baresi, S. Guinea, A. Leva, and G. Quattrocchi, “A Discrete-time Feedback Controller for Containerized Cloud Applications,” In Proc. of the 2016 24th ACM SIGSOFT Int. Symposium on Foundations of  Software Engineering, pp. 217-228, 2016.##

[9]     G. A. Moreno, J. Cámara, D. Garlan, and B. Schmerl, “Efficient Decision-making under Uncertainty for Proactive Self-adaptation,” In 2016 IEEE Int. Conf. on Autonomic Computing (ICAC), pp. 147-156, 2016.##

[10]  F. Paraiso, P. Merle, and L. Seinturier, “Socloud: A Service-Oriented Component-based PaaS for Managing Portability, Provisioning, Elasticity, and High Availability Across Multiple Clouds,” Computing,vol. 98, pp. 539-565, 2016.##

[11]  S. Lehrig, R. Sanders, G. Brataas, M. Cecowski, S. Ivanšek, and J. Polutnik, “CloudStore—towards Scalability, Elasticity, and Efficiency Benchmarking and Analysis in Cloud Computing,” Future Generation Computer Systems,vol. 78, pp. 115-126, 2018.##

[12]  A. Ashraf, B. Byholm, and I. Porres, “CRAMP: Cost-Efficient Resource Allocation for Multiple Web Applications with Proactive Scaling,” In 4th IEEE Int. Conf. on Cloud Computing Technology and Science Proc., pp. 581-586, 2012.##

[13]  A. Beloglazov and R. Buyya, “Adaptive Threshold-based Approach for Energy-efficient consolidation of Virtual Machines in Cloud Data Centers,” MGC@ Middleware,vol. 4, 2010.##

[14]  K. Li, “Quantitative Modeling and Analytical Calculation of Elasticity in Cloud Computing,” IEEE Transactions on Cloud Computing, 2017.##

[15]  M. C. Huebscher and J. A. McCann, “A Survey of Autonomic Computing—degrees, Models, and Applications,” ACM Computing Surveys (CSUR),vol. 40, p. 7, 2008.##

[16]  T. Lorido-Botran, J. Miguel-Alonso, and J. A. Lozano, “A Review of Auto-scaling Techniques for elastic Applications in Cloud Environments,” J. of Grid Computing, vol. 12, pp. 559-592, 2014.##

[17]  Y. Al-Dhuraibi, F. Paraiso, N. Djarallah, and P. Merle, “Elasticity in Cloud Computing: State of the Art and Research Challenges,” IEEE Transactions on Services Computing, vol. 11, pp. 430-447, 2017.##

[18]  S. Yi, D. Kondo, and A. Andrzejak, “Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud,” In 2010 IEEE 3rd Int. Conf. on Cloud Computing, pp. 236-243, 2010.##

[19]  S. Wee, “Debunking Real-time Pricing in Cloud Computing,” In Proc. of the 2011 11th IEEE/ACM Int. Symposium on Cluster, Cloud and Grid Computing, pp. 585-590, 2011.##

[20]  A. Kivity, D. Laor, G. Costa, P. Enberg, N. Har’El, D. Marti, and V. Zolotarov, “OSv—optimizing the Operating System for Virtual Machines,” In 2014 {USENIX} Annual Technical Conference ({USENIX}{ATC} 14), pp. 61-72, 2014.##

[21]  Y. Al-Dhuraibi, F. Zalila, N. Djarallah, and P. Merle, “Coordinating Vertical Elasticity of both Containers and Virtual Machines,” 8th International Conference on Cloud Computing and Services Science, 2018.##

[22]  A. Shahidinejad, M. Ghobaei-Arani, and L. Esmaeili, “An Elastic Controller Using Colored Petri Nets in Cloud Computing Environment,” Cluster Computing,pp. 1-27, 2019.##

[23]  D. Villegas, N. Bobroff, I. Rodero, J. Delgado, Y. Liu, A. Devarakonda, L. Fong, M. sadjadi, and M. Parashar, “Cloud Federation in a Layered Service Model,” Journal of Computer and System Sciences,vol. 78, pp. 1330-1344, 2012.##

[24]  R. Khorsand, M. Ghobaei‐Arani, and M. Ramezanpour, “FAHP Approach for Autonomic Resource Provisioning of Multitier Applications in Cloud Computing Environments,” Software: Practice and Experience,vol. 48, pp. 2147-2173, 2018.##

[25]  R. da Rosa Righi, V. F. Rodrigues, C. A. Da Costa, G. Galante, L. C. E. De Bona, and T. Ferreto, “Autoelastic: Automatic Resource Elasticity for High Performance Applications in the Cloud,” IEEE Transactions on Cloud Computing,vol. 4, pp. 6-19, 2015.##

[26]  R. da Rosa Righi, V. F. Rodrigues, G. Rostirolla, C. A. da Costa, E. Roloff, and P. O. A. Navaux, “A Lightweight Plug-and-play Elasticity Service for Self-organizing Resource Provisioning on Parallel Applications,” Future Generation Computer Systems,vol. 78, pp. 176-190, 2018.##

[27]  V. F. Rodrigues, R. da Rosa Righi, G. Rostirolla, J. L. V. Barbosa, C. A. da Costa, A. M. Alberti, and V.Chang, “Towards Enabling Live Thresholding as Utility to Manage Elastic Master-Slave Applications in the Cloud,” Journal of Grid Computing,vol. 15, pp. 535-556, 2017.##

[28]  T. Bhardwaj and S. C. Sharma, “Fuzzy Logic-based Elasticity Controller for Autonomic Resource Provisioning in Parallel Scientific Applications: A Cloud Computing Perspective,” Computers & Electrical Engineering, vol. 70, pp. 1049-1073, 2018.##

[29]  V. Cardellini, T. G. Grbac, M. Nardelli, N. Tanković, and H.-L. Truong, “QoS-Based Elasticity for Service Chains in Distributed Edge Cloud Environments,” In Autonomous Control for a Reliable Internet of Services, ed: Springer, Cham, pp. 182-211, 2018.##

[30]  N. Chohan, C. Castillo, M. Spreitzer, M. Steinder, A. N. Tantawi, and C. Krintz, “See Spot Run: Using Spot Instances for Mapreduce Workflows,” HotCloud,vol. 10, pp. 7-7, 2010.##

[31]  M. Mattess, C. Vecchiola, and R. Buyya, “Managing Peak Loads by Leasing Cloud Infrastructure Services from a Spot Market,” In 2010 IEEE 12th Int. Conf. on High Performance Computing and Communications (HPCC), pp. 180-188, 2010.##

[32]  A. Andrzejak, D. Kondo, and S. Yi, “Decision Model for Cloud Computing under SLA Constraints,” In 2010 IEEE Int. Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, pp. 257-266, 2010.##

[33]  E. Folkerts, A. Alexandrov, K. Sachs, A. Iosup, V. Markl, and C. Tosun, “Benchmarking in the Cloud: What it Should, Can, and Cannot Be,” In Technology Conf. on Performance Evaluation and Benchmarking, pp. 173-188, 2012.##

[34]  S. Islam, K. Lee, A. Fekete, and A. Liu, “How a Consumer Can Measure Elasticity for Cloud Platforms,” In Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering, pp. 85-96, 2012.##

[35]  A. A. Rahmanian, M. Ghobaei-Arani, and S. Tofighy, “A Learning Automata-based Ensemble Resource Usage Prediction Algorithm for Cloud Computing Environment,” Future Generation Computer Systems,vol. 79, pp. 54-71, 2018.##

[36]  H.-J. Zimmermann, “Fuzzy Set Theory—and itsApplications,” Springer Science & Business Media, 2011.##

[37]  R. Bouabdallah, S. Lajmi, and K. Ghedira, “Use of Reactive and Proactive Elasticity to Adjust Resources Provisioning in the Cloud Provider,” In 2016 IEEE 18th Int. Conf. on High Performance Computing and Communications; IEEE 14th Int. Conf. on Smart City; IEEE 2nd Int. Conf. on Data Science and Systems (HPCC/SmartCity/DSS), pp. 1155-1162, 2016.##

[38]  C. Reiss, J. Wilkes, and J. L. Hellerstein, “Google Cluster-usage Traces: Format+ Schema,” Google Inc., White Paper,pp. 1-14, 2011.##

[39]  https://webscope.sandbox.yahoo.com/catalog.php?datatype=s, “Yahoo Cluster”.##