Tufts University Virtual Machine Usage in Cloud Computing

Tufts University Virtual Machine Usage in Cloud Computing in Google EE-126 Yaoshen Yuan www. company. com

Tufts University Google Cloud Computing Platform • Saa. S (Software as a Service) – Clients can download software and other resources or create documents and save resources through Saa. S. • Paa. S (Platform as a Service) – provides clients with the platform that allow them to deploy the virtual development environment. • Iaa. S (Infrastructure as a Service) – shares the Internet infrastructure and consumers have the ability to configure the operating system, storage, applications. www. company. com

Tufts University Diagram for Platform www. company. com

Tufts University Analysis of VM usage in Google Cloud • Transmission Latency • Traffic Analysis • Reliability www. company. com

Tufts University Transmission Latency • 1 2 3 4 5 6 7 8 9 10 11 12 13 24. 05 22. 31 1. 34 60. 57 50. 45 53. 31 33. 20 35. 91 33. 75 36. 31 41. 26 45. 59 -33. 37 120. 5 114. 2 103. 7 27. 19 3. 28 -6. 26 -80. 01 -81. 54 -84. 75 -95. 32 -95. 87 -121. 1 -70. 73 www. company. com

Tufts University Transmission Latency virtual machine will access the nearest data center, so the distance should be www. company. com

Tufts University Transmission Latency P reflects the advantage of cloud computing compared to the server station model www. company. com

Tufts University Traffic Analysis the augmentation of the number of request a data center receive increases the network latency, so it is necessary to consider the network traffic www. company. com

Tufts University Traffic Analysis center 1 2 3 4 5 6 7 8 9 10 11 12 13 mean 0. 0778 0. 0206 0. 1547 0. 1411 0. 0552 0. 0446 0. 0269 0. 0098 0. 0065 0. 0169 0. 0144 0. 1136 0. 3178 mean traffic weight of each data center under the condition that request is produced randomly over the world during a day www. company. com

Tufts University Reliability it is important that when one or some of the data center collapse, VM instances can still access their resources www. company. com

Tufts University Reliability www. company. com

Tufts University Reliability www. company. com

Tufts University Reliability www. company. com

Tufts University Reliability k 0 1 2 3 4 5 6 7 8 9 10 11 12 43965 67. 93 57513 98. 49 58482 13. 53 58659 02. 77 59176 84. 76 59360 62. 29 59516 09. 23 66690 10. 87 67462 55. 67 70307 87. 34 89005 97. 50 98420 86. 84 10008 160. 72 www. company. com

Tufts University Reliability www. company. com

Tufts University Conclusion l Because of the lack of data of real channel connecting the world, the model (using straight line in sphere to replace channel) used to analyze is not accurate. l Model built under the condition that resources of one VM instance are saved in all data center. l Less latency, higher traffic tolerance, higher reliability. l Building server on Google Cloud using VM instance is sensible when large Page View (PV) is estimated. www. company. com

Tufts University REFERENCE [1] Niyato D. Optimization-based virtual machine manager for private cloud computing[C]//Cloud Computing Technology and Science (Cloud. Com), 2011 IEEE Third International Conference on. IEEE, 2011: 99 -106. [2] Rajan S, Jairath A. Cloud computing: The fifth generation of computing[C]//Communication Systems and Network Technologies (CSNT), 2011 International Conference on. IEEE, 2011: 665 -667. [3] Ye K, Huang D, Jiang X, et al. Virtual machine based energy-efficient data center architecture for cloud computing: a performance perspective[C]//Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing. IEEE Computer Society, 2010: 171 -178. [4] Savu L. Cloud computing: Deployment models, delivery models, risks and research challenges[J]. Computer, 2011. [5] Managed VM, https: //cloud. google. com/appengine/docs/managed-vms/ [6] Shang Z, Chen W, Ma Q, et al. Design and implementation of server cluster dynamic load balancing based on Open. Flow[C]//Awareness Science and Technology and Ubi-Media Computing (i. CAST-UMEDIA), 2013 International Joint Conference on. IEEE, 2013: 691 -697. [7] Google Data Center http: //www. google. com/about/datacenters/inside/locations/index. html www. company. com

Tufts University www. company. com