Modeling of a dynamic and intelligent simulator at the infrastructure level of cloud services

• Autorzy: Zegrari Faouzia , Idrissi Abdellah

Identyfikatory

DOI

10.14313/JAMRIS/3-2020/36

• Języki publikacji: EN

Abstrakty

EN

Cloud environments made up of a large number of compute and storage servers provide ondemand services in a usage-based consumption model (pay-as-you-go). Load balancing is one of the major problems in the cloud. Indeed, the dynamics of demand requirements and QoS, as well as the variability of cloud resources and its provisioning models make difficult the operation of performance evaluation of the system. To face this issue and to ensure the viability of cloud computing, IT resources must be managed effectively by a dynamic monitoring of the current workload of virtual machines (VMs). In this study, we propose the design of a cloud services simulation tool at the infrastructure level based on cloud computing simulation platform named CloudSim. It allows real-time monitoring of a load of each VM in terms of CPU utilization, memory utilization and bandwidth utilization ratio. The result of this case study can be useful for carry out dynamic environment simulations for VMs monitoring and fast decision making that can be used in load balancing mechanisms.

Słowa kluczowe

EN

load balancing; cloud computing; resource utilization; dynamic environment simulation

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2020
• Tom: Vol. 14, No. 3
• Strony: 65--70
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Zegrari Faouzia

• Intelligent Processing Systems Team (IPSS), Computer Science Laboratory (LRI), Computer Science Department, Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco

autor

Idrissi Abdellah

• Intelligent Processing Systems Team (IPSS), Computer Science Laboratory (LRI), Computer Science Department, Faculty of Sciences, Mohammed V University in Rabat, Rabat, Morocco

Bibliografia

• [1] P. Mell and T. Grance, “The NIST Definition of Cloud Computing”, Technical Report, DOI: 10.6028/NIST.SP.800-145. https://csrc.nist.gov/publications/detail/sp/800-145/final.Accessed on: 2020.12.16.
• [2] V.Sangeetha,V.JaganrajaandT.Gnanaprakasam, “A General Study of Homomorphic Encryption Algorithm with Cloud Computing”, Global Journal of Advanced Engineering Technologies and Sciences, vol. 3, no. 3, 2016.
• [3] S. Rajan and A. Jairath, “Cloud Computing: The Fifth Generation of Computing”. In: 2011 International Conference on Communication Systems nd Network Technologies, 2011, 665–667, 10.1109/CSNT.2011.143.
• [4] R. N. Calheiros, R. Ranjan, A. Beloglazov,C. A. F. De Rose and R. Buyya, “CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms”, Software: Practice and Experience, vol. 41, no. 1, 2011, 23–50, 10.1002/spe.995.
• [5] T. Goyal, A. Singh and A. Agrawal, “Cloudsim: simulator for cloud computing infrastructure and modeling”, Procedia Engineering, vol. 38, 2012, 3566–3572, 10.1016/j.proeng.2012.06.412.
• [6] “The CLOUDS Lab: Flagship Projects – Gridbus and Cloudbus”. www.cloudbus.org/cloudsim/.Accessed on: 2020.12.16.
• [7] W. Tian, Y. Zhao, M. Xu, Y. Zhong and X. Sun,“A Toolkit for Modeling and Simulation of Real-Time Virtual Machine Allocation in a Cloud Data Center”, IEEE Transactions on Automation Science and Engineering, vol. 12, no. 1, 2015, 153–161, 10.1109/TASE.2013.2266338.
• [8] “xen [Wiki ubuntu-fr]”. https://doc.ubuntu-fr.org/xen. Accessed on: 2020.12.16.
• [9] D. Gupta, R. Gardner and L. Cherkasova, “XenMon: QoS Monitoring and Performance Profiling Tool”, Technical Report – HPL-2005-187, www.hpl.hp.com/techreports/2005/HPL2005-187.pdf. Accessed on: 2020.12.16.
• [10] R. Kumar and G. Sahoo, “Cloud Computing Simulation Using CloudSim”, International Journal of Engineering Trends and Technology, vol. 8, no. 2, 2014, 82–86, 10.14445/22315381/IJETT-V8P216.
• [11] S. Mehmi, H. K. Verma and A. L. Sangal, “Simulation modeling of cloud computing for smart grid using CloudSim”, Journal of Electrical Systems and Information Technology, vol. 4, no. 1, 2017, 159–172, 10.1016/j.jesit.2016.10.004.