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  • 1. CLOUD COMPUTING BASED ON THE PAPER, “A SURVEY OF MATHEMATICAL MODELS, SIMULATION APPROACHES AND TEST BEDS USED FOR RESEARCH IN CLOUD COMPUTING”, BY GEORGIA SAKELLARI AND GEORGE LOUKAS.
  • 2. AGENDA • What is cloud computing? • Research in Cloud Computing • Mathematical Modelling of Cloud Systems • Cloud Simulation Software • Cloud Test beds • Commercial Cloud services used in research • Research Cloud test beds • Software frameworks for setting up private cloud frameworks • Conclusion
  • 3. WHAT IS CLOUD COMPUTING? A BRIEF INTRODUCTION ON CLOUD COMPUTING
  • 4. WHAT IS CLOUD COMPUTING? • Cloud computing is Internet-based computing, whereby shared resources, software, and information are provided to computers and other devices on demand, like the electricity grid.
  • 5. WHAT IS CLOUD COMPUTING?
  • 6. WHAT IS CLOUD COMPUTING?
  • 7. WHAT IS CLOUD COMPUTING? • Cloud computing relies on sharing of resources to achieve coherence and economies of scale similar to a utility (like the electricity grid) over a network. • The cloud also focuses on maximizing the effectiveness of the shared resources. Cloud resources are usually not only shared by multiple users but as well as dynamically re-allocated as per demand. This can work for allocating resources to users in different time zones.
  • 8. RESEARCH IN CLOUD COMPUTING PERFORMANCE ANALYSIS, SIMULATION MODELS AND OTHER RESEARCHES CARRIED OUT ON CLOUD COMPUTING
  • 9. RESEARCH IN CLOUD COMPUTING • Research on the energy efficiency and performance of cloud computing primarily focuses on the IaaS paradigm. • Other common cloud computing approaches include PaaS and SaaS. • Validation of these models is done through simulation. • But, majority of the researchers build their own, small scale, cloud test beds.
  • 10. MATHEMATICAL MODELLING OF CLOUD SYSTEMS AN ALTERNATIVE/PRE-REQUISITE TO ANY SIMULATION.
  • 11. MATHEMATICAL MODELLING OF CLOUD SYSTEMS • Mathematical modelling of cloud systems is less demanding on hardware and software investment. • It also provides an understanding about the interdependencies involved in cloud computing. • It is particularly suitable for identifying optimal values and equilibrium and predicting behavior.
  • 12. MATHEMATICAL MODELLING OF CLOUD SYSTEMS • Various researchers have worked on different mathematical models of the cloud. Mathematical Model Description of the focus S. Islam et al Elastic characteristics of the cloud. Abdelsalam et al Optimizing servers and frequencies to consume minimal energy. Van et al Energy based utility maximization. Mohsenian-Rad et al Energy information transmission tradeoffs. Mi et al Virtual machine allocation modelling. Baliga et al Energy consumption of a cloud. Garg et al Energy characteristics of a cloud.
  • 13. CLOUD SIMULATION SOFTWARE SOFTWARE TO SIMULATE A CLOUD ARCHITECTURE TO ENABLE TESTING.
  • 14. CLOUD SIMULATION SOFTWARE • Grid computing simulators like GridSim, cannot sufficiently simulate the cloud infrastructure. • Virtualization can be used to deploy virtual private clouds on small scale physical test beds. • But for large scale simulations, we need something like, CloudSim (based on GridSim). • CloudSim can simulate up to 100000 machines in less than 5 minutes.
  • 15. CLOUD SIMULATION SOFTWARE Simulation Software Language Open Source Description CloudSim Java Yes Modular and extensible framework able to simulate very large clouds. CDOSim Java No Enhances CloudSim by facilitating integration of more fine grained models. TeachCloud Java Yes Extends CloudSim. Used for Educational purposes. NetworkCloudSim Java No Extends CloudSim with an emphasis on networks. GreenCloud C++ Yes Simulates a cloud as a packet network and estimates energy consumption.
  • 16. CLOUD TEST BEDS COMMERCIAL CLOUD SERVICES USED IN RESEARCH
  • 17. COMMERCIAL CLOUD SERVICES USED IN RESEARCH • Amazon Elastic Compute Cloud (EC2) is the most used commercial cloud service in academic research. • Amazon EC2 provides IaaS at a very large scale. • Researches are not stable with some indicating that Amazon EC2 as not suitable for scientific research while others indicate it as a viable candidate. • More importantly, its architecture can be used for more dependable simulations than EC2 itself.
  • 18. COMMERCIAL CLOUD SERVICES USED IN RESEARCH Commercial Cloud Service Pricing Amazon EC2 IaaS Commercial Amazon S3 Storage Commercial Google App Engine PaaS Commercial/Free Google Apps SaaS Commercial/Free Windows Azure PaaS/IaaS Commercial/Partially Free for Students
  • 19. CLOUD TEST BEDS RESEARCH CLOUD TEST BEDS
  • 20. RESEARCH CLOUD TEST BEDS • OpenCirrus is a joint initiative by Hewlett-Packard, Intel and Yahoo! in collaboration with more than eight other organizations and universities around the world. • It enables researchers with similar interests to exchange data sets and develop standard cloud computing benchmarks. • It uses the Hadoop Distributed File system
  • 21. RESEARCH CLOUD TEST BEDS Scientific Test bed Description OpenCirrus Large scale cloud test bed spanning over 10 locations worldwide. Open Cloud Test bed Large scale cloud test bed supporting computations over more than one data center. (Not possible in OpenCirrus) Science Clouds Cloud research test bed able to connect to Amazon EC2. Virtual Computing Lab Private cloud providing free usage to academic institutes for limited amount of time. Grid 5000 Test bed for cloud based massive data analytics.
  • 22. CLOUD TEST BEDS SOFTWARE FRAMEWORKS FOR SETTING UP PRIVATE CLOUD FRAMEWORKS
  • 23. SOFTWARE FRAMEWORKS FOR SETTING UP PRIVATE CLOUD FRAMEWORKS Software Framework License Service Description Eucalyptus Open Source IaaS Generalist open source framework running primarily on Ubuntu and CentOS OpenStack Open Source IaaS Platform with the most active community and most industrial approval. Abiquo Proprietary/Open Source IaaS Platform manager for private clouds. Open Source version has limited functionality. Tplatform Open Source PaaS Designed for Web mining applications. mOSAIC Open Source PaaS/Iaa S Provides interoperability between different clouds.
  • 24. CONCLUSION CLOSING OFF…
  • 25. CONCLUSION • Cloud computing offers a lot of scope for research. • It is viable platform for creating, deploying and using applications. • Commercial cloud frameworks do not provide the accuracy needed by researchers. • Amazon EC2 is the most used platform for research and analysis.
  • 26. THANK YOU…  FOR YOUR DELIGHTFUL PATIENCE.