Cloud computing and Cloudsim
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The document provides an overview of cloud computing, including its history, architecture, deployment models, and service models. It discusses benefits such as cost savings and scalability, as well as disadvantages like security issues and potential downtime. Additionally, it introduces the CloudSim toolkit for modeling and simulation of cloud infrastructures.
Cloud computing and Cloudsim
- 1. AND Presented By Manash Kumar Mondal Under the Guidance of Dr. Utpal Biswas , Prof. & Head Department of Computer Science & Engineering University of Kalyani
- 2. History Of Cloud Computing. Cloud Computing. Cloud Architecture Deployment Model Services Model Benefit Of Cloud Computing Why cloud Computer become popular Research direction of cloud CloudSim toolkit Modules of CloudSim Main features of CloudSim CloudSim architecture Simulation style Disadvantage Referances Outline
- 3. History of Cloud Computing Cluster Computing Grid Computing Cloud Computing
- 4. What is Cloud Computing ? Cloud is a parallel and distributed computing system consisting of a collection of inter-connected and virtualized computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements (SLA) established through negotiation between the service provider and consumers.
- 6. Deployment Models There are four types deployment models Private Cloud Public Cloud Community Cloud Hybrid Cloud
- 8. Public Cloud
- 10. Hybrid Cloud
- 11. Service Models Service models are.. Software as a Service(SaaS) Platform as a Service(PaaS) Infrastructure as a Service (IaaS)
- 12. Software as a Service(SaaS)
- 13. Platform as a Service(PaaS)
- 14. Infrastructure as a Service (IaaS)
- 15. Benefits of Cloud Computing: Cost Savings Mobile Access Scalability and Capacity Resource Maximization Collaboration Customization
- 16. Why Cloud Computing Become popular? : There are so many reasons, cloud computing ought to become popular. On-demand self-service Broad network access Resource pooling Rapid elasticity Measured service
- 17. Disadvantages of cloud computing Technical Issues Security in the Cloud Prone to attack Possible downtime Cost Inflexibility Lack of support
- 18. CloudSiM Toolkit A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services. Originally built at the Cloud Computing and Distributed Systems (CLOUDS) Laboratory, The University of Melbourne, Australia It is Completely written in JAVA.
- 19. Modules of CloudSiM Cloud user Data center Cloudlet Virtual machines(vm) Host
- 20. Main features of CloudSiM Modeling and simulation Data center network topologies and message-passing applications Dynamic insertion of simulation elements Stop and resume of simulation Policies for allocation of hosts and virtual machines
- 23. References 1.National Institute of Standards and Technology Special Publication 500-291 V2 Natl. Inst. Stand. Technol. Spec. Publ. 500-291, 108 pages (May 24, 2013) 2. Buyya Rajkumar, Yeo Chee Shin, Venugopal Srikumar, Broberg James and Brandic Ivona, “Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility”, Future Generation Computer Systems (2009), pp. 599-616 3. Gandotra .I, Abrol P. Gupta P. Uppal R. and Singh S. (2011) “Cloud Computing Over Cluster, Grid Computing: a Comparative Analysis”, Journal of Grid and Distributed Computing, pp-01-04 4. Kavitha. K, ”Study on Cloud Computing Model and its Benefits, Challenges”, International Journal of Innovative Research in Computer and Communication Engineering 5. ANCAAPOSTU1, FLORINA PUICAN2, GEANINA ULARU3, GEORGE SUCIU4, GYORGY TODORAN5,” Study on advantages and disadvantages of Cloud Computing – the advantages of Telemetry Applications in the Cloud” 6. Calheiros RN, Ranjan R, Beloglazov A, De Rose CA, Buyya R (2011). "CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms." (PDF). Software: Practice and Experience. 41 (1): 23–50.
- 24. References (cont.): 7. "The Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne" 8. Parsa, S., Entezari-Maleki, R.: RASA: A New Grid Task Scheduling Algorithm. International Journal of Digital Content Technology and its Applications 3, 91–99 (2009) 9. Bhatia, W., Buyya, R., Ranjan, R.: CloudAnalyst: A CloudSimbased Visual Modeller for Analysing Cloud Computing Environments and Applications. In: 2010 24th IEEE International Conference on Advanced Information Networking and Applications, pp. 446–452 (2010) 10. Calheiros, R.N., Ranjan, R., De Rose, C.A.F., Buyya, R.: CloudSim: A Novel Framework for modelling and Simulation of Cloud Computing Infrastructures and Services (2009) 11. Calheiros, R.N., Ranjan, R., De Rose, C.A.F., Buyya, R.: CloudSim: A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services. Technical Report, GRIDS-TR-2009-1, Grid Computing and Distributed Systems Laboratory, The University of Melbourne, Australia (2009)
- 25. Thank You