Cloud Computing, SOA and Web 2.0, an inevitable convergence
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This presentation talks about software and hardware design oriented towards embracing the cloud. The main point is that a service oriented architecture is the chief enabler to leverage cloud technologies on both the software and the hardware levels.
Cloud Computing, SOA and Web 2.0, an inevitable convergence
- 1. Cloud Computing, SOA and Web 2.0 An Inevitable Convergence DAVID KARAM
- 2. Answers We Were Aiming For WHY SHOULD I THINK OF MY COMPUTATIONAL SOFTWARE AS A COMPUTATIONAL SERVICE? HOW CAN AND WHEN SHOULD I OUTSOURCE COMPUTATIONS TO THE CLOUD? HOW CAN I LEVERAGE WEB 2.0 TO BRIDGE THE GAP BETWEEN ALGORITHMS AND SCIENTIFIC USERS?
- 3. Neural Networks Quick Intro Algorithms for artificial intelligence Typical applications System identification e.g. Stock prediction Control e.g. Robotics Data mining e.g. Knowledge discovery in databases
- 4. Exposing Kernels as Services WHY SHOULD I THINK OF MY COMPUTATIONAL SOFTWARE AS A COMPUTATIONAL SERVICE? HOW CAN AND WHEN SHOULD I OUTSOURCE COMPUTATIONS TO THE CLOUD? HOW CAN I LEVERAGE WEB 2.0 TO BRIDGE THE GAP BETWEEN ALGORITHMS AND SCIENTIFIC USERS?
- 5. The Basic Problem Distant Kernel Kernel
- 6. The Basic Problem Distant Kernel Kernel Application
- 7. The Basic Problem Distant Kernel Kernel
- 8. The Basic Problem Distant Kernel Kernel Application
- 9. The Basic Problem Distant Kernel Inherent mismatch with outside world Mismatched languages Mismatched hardware Total lack of Entry Points / APIs C++ Java ML NN
- 10. Level 1: Exposing the Kernel Clean and robust API Standardized Web Service RPC bed C++ NN Java ML
- 11. System View C++ NN Standardized Web Service NN Level 1 Exposing the Kernel
- 12. Lesson Learned Service orientation grants modularity to leverage right tools Use the right platform and the right tools for the right job! Broker standardized resources into a homogeneous whole! R Statistical Java Module Browser GUI Higher level AI C++ Number Crunchers MATLAB Prototype
- 13. Where can this be useful?
- 14. Where can this be useful?
- 15. Where can this be useful?
- 16. Where can this be useful?
- 17. Managing Computations in the Cloud WHY SHOULD I THINK OF MY COMPUTATIONAL SOFTWARE AS A COMPUTATIONAL SERVICE? HOW CAN AND WHEN SHOULD I OUTSOURCE COMPUTATIONS TO THE CLOUD? HOW CAN I LEVERAGE WEB 2.0 TO BRIDGE THE GAP BETWEEN ALGORITHMS AND SCIENTIFIC USERS?
- 18. The Basic Problem Amassing Resources NN Local
- 19. The Basic Problem Amassing Resources Local NN Grid
- 20. The Basic Problem Amassing Resources Cloud NN Local Grid
- 21. The Basic Problem Amassing Resources Cloud NN Local Grid
- 22. Level 2: Distributing the Computations Outsource computations when local resources get burdened Siemens Ensemble Internet TUM Run Client Public Cloud
- 23. System View C++ NN Siemens Ensemble WS Internet Run Client Public Cloud NN TUM Level 1 Level 2 Exposing the Kernel Integrating Distributed Applications
- 24. Lesson Learned A SOA is the natural fit for leveraging cloud resources Use the right hardware for the right task! Cloud Extra Power Notch Browser Local GUI Computational GPU Cores Linear Algebra Cluster Data Mining
- 25. Science and the Web Experience WHY SHOULD I THINK OF MY COMPUTATIONAL SOFTWARE AS A COMPUTATIONAL SERVICE? HOW CAN AND WHEN SHOULD I OUTSOURCE COMPUTATIONS TO THE CLOUD? HOW CAN I LEVERAGE WEB 2.0 TO BRIDGE THE GAP BETWEEN ALGORITHMS AND SCIENTIFIC USERS?
- 26. System View Siemens SENN Ensemble W Internet Run Client E User Public Cloud B TUM Level 1 Level 2 Level 3 Exposing the Kernel Integrating Distributed Applications Web Integration
- 27. Final Notes
- 28. Coupling SOA, Cloud & Web 2.0 Use established web standards to export and import computational algorithms in the cloud Achieve a new dimension of modularity for software and hardware requirements Use the intuitiveness of the web to bridge the gap between algorithms and scientists move science into the web browser!
- 29. Questions