WWW Conference 2012 - Web-Engineering - Cloudgenius
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This document summarizes a framework called CloudGenius that provides decision support for migrating web servers to the cloud. It presents the motivation for migrating web servers to gain cloud features like elasticity. It describes the CloudGenius framework which models the cloud landscape and provides evaluation methods to select optimal virtual machine images and cloud services. It also describes CumulusGenius, a Java implementation of the CloudGenius model and evaluation methods. Experiments show the computation time of the evaluation methods grows non-linearly as the database of options increases in size. Future work focuses on improving the attribute data, applying the framework to real migration scenarios, and expanding the cloud landscape database.
![Evaluation Methods
Leverage (MC2)2 Framework [1]
Alternative
(MC2)2 allows to create evaluation
1
Alternative
2
methods with given criteria and Alternative
n
requirements requirements
appropriate
alternatives
Resulting evaluation methods
filter and evaluate alternatives
Multi-Criteria
Decision-Making
criteria
Method (AHP)
We settle for AHP 1. Alternative 2 (0.8966)
for normalized evaluations 2.
3.
Alternative 1 (0.1211)
...
[1] Menzel, M., Schönherr, M., Nimis, J., & Tai, S. (2010). (MC2)2: A Generic Decision-
Making Framework and its Application to Cloud Computing. In Procs. International
Conference on Cloud Computing and Virtualization (CCV 2010), Singapore.](https://image.slidesharecdn.com/www-conference-web-engineering-cloudgenius-120618101815-phpapp02/85/WWW-Conference-2012-Web-Engineering-Cloudgenius-11-320.jpg)
![Evaluate VM Images VM
Image
Attributes [2]
[2] S. Kalepu, S. Krishnaswamy, and S. Loke. Verity: A QoS Metric for Selecting Web Services and Providers. In Web Information
Systems Engineering Workshops, 2003. Proceedings. Fourth International Conference on, pages 131-139. IEEE, 2003.](https://image.slidesharecdn.com/www-conference-web-engineering-cloudgenius-120618101815-phpapp02/85/WWW-Conference-2012-Web-Engineering-Cloudgenius-12-320.jpg)
![Evaluate Compute Services
Attributes [3]
[3] S. Kalepu, S. Krishnaswamy, and S. Loke. Verity: A QoS Metric for Selecting Web Services and Providers. In Web Information
Systems Engineering Workshops, 2003. Proceedings. Fourth International Conference on, pages 131-139. IEEE, 2003.](https://image.slidesharecdn.com/www-conference-web-engineering-cloudgenius-120618101815-phpapp02/85/WWW-Conference-2012-Web-Engineering-Cloudgenius-13-320.jpg)
![CumulusGenius
• Implementation of the model, evaluation
methods in Java [2]
• Basis for Experiments and future Tools
• jClouds for deployments on EC2
[4] available as java library: http://code.google.com/p/cumulusgenius](https://image.slidesharecdn.com/www-conference-web-engineering-cloudgenius-120618101815-phpapp02/85/WWW-Conference-2012-Web-Engineering-Cloudgenius-17-320.jpg)
WWW Conference 2012 - Web-Engineering - Cloudgenius
- 1. CloudGenius: Decision Support for Web Server Migration to the Cloud Michael Menzel, Rajiv Ranjan KIT, UNSW WWW Conference – Web Engineering II Lyon, 2012
- 2. Agenda 1. Motivation 2. CloudGenius Framework 3. CumulusGenius Tool 4. Experiments & Evaluation 5. Conclusion 6. Future Work
- 3. MOTIVATION
- 4. Web Servers in the Cloud • ... to gain Cloud features – Elasticity (slashdot) – Pay-per-use – Global distribution – ... • What to be done? • Where to go? (Cloud compute service)
- 5. Options for Realization • 3 Options to migrate a Web server – Convert it into a Cloud-compatible VM image – Rebuild on a basic VM image – Adopt prepared Web server VM image Converted Basic Prepared VM VM VM Image Image Image Less effort Higher Customizability
- 6. Web Server Migration Problem influences VM images Web server choose Image A Image ? Image B Image C evaluation Image decision Web server requirements Composite decision Web server goals Provider Service ? Cloud Provider A Cloud Provider B evaluation decision Service Service Servic A B eC Service evaluation
- 8. Elements of the CloudGenius Framework Engineer requirements Set Select Image & Deploy, Customi + + Goals/Preferenc ... Service ze ... es Evaluate Images Multi-Criteria Decision- & Services criteria Making Method (AHP) CloudGenius Cloud Model 1. Alternative 2 (0.8966) 2. Alternative 1 (0.1211) 3. ... Cyclic process Model Evaluation methods
- 9. CloudGenius Migration Process (condensed) Engineer Set Select Image & Deploy, Custom ... Goals/Preferen ... Service ize ces Evaluate Images & Services CloudGenius Cloud Model
- 10. CloudGenius Model of Cloud Landscape Model holds Data • VM Images & Compute Services have attributes • Attributes are basis for criteria and requirements • VM Images and Services are related
- 11. Evaluation Methods Leverage (MC2)2 Framework [1] Alternative (MC2)2 allows to create evaluation 1 Alternative 2 methods with given criteria and Alternative n requirements requirements appropriate alternatives Resulting evaluation methods filter and evaluate alternatives Multi-Criteria Decision-Making criteria Method (AHP) We settle for AHP 1. Alternative 2 (0.8966) for normalized evaluations 2. 3. Alternative 1 (0.1211) ... [1] Menzel, M., Schönherr, M., Nimis, J., & Tai, S. (2010). (MC2)2: A Generic Decision- Making Framework and its Application to Cloud Computing. In Procs. International Conference on Cloud Computing and Virtualization (CCV 2010), Singapore.
- 12. Evaluate VM Images VM Image Attributes [2] [2] S. Kalepu, S. Krishnaswamy, and S. Loke. Verity: A QoS Metric for Selecting Web Services and Providers. In Web Information Systems Engineering Workshops, 2003. Proceedings. Fourth International Conference on, pages 131-139. IEEE, 2003.
- 13. Evaluate Compute Services Attributes [3] [3] S. Kalepu, S. Krishnaswamy, and S. Loke. Verity: A QoS Metric for Selecting Web Services and Providers. In Web Information Systems Engineering Workshops, 2003. Proceedings. Fourth International Conference on, pages 131-139. IEEE, 2003.
- 14. Define Goals/Preferences Assign weights in pairwise comparisons (per level)
- 15. Evaluate Combinations { VM Image } x{ }= { VM Image } Weighted Evaluated set of combinations Not all Combinations are viable! AMI
- 17. CumulusGenius • Implementation of the model, evaluation methods in Java [2] • Basis for Experiments and future Tools • jClouds for deployments on EC2 [4] available as java library: http://code.google.com/p/cumulusgenius
- 19. Experimental Setup • Employed CumulusGenius Implementation • Generated Database of VM Images & Compute Services – Attribute values in plausible ranges – Every combination viable • All Criteria have same weight • 20 Runs with growing Database size
- 20. AMI & Service Evaluation • Service evaluation has higher effort • AMI & Service evaluation not growing linearly
- 21. Experiment Results (avg. 20 runs) • Non-linearly growing computation time
- 22. Evaluation • Currently 10,000 AMIs on Amazon alone! • Filtering important • Fast evaluation algorithm – Parallelization – Heuristics such as Genetic Algorithms
- 23. Conclusion • Framework for Migration of Web servers – Cylcic Process – Model – Evaluation Methods • Implementation CumulusGenius – Java library • Experiments regarding computation time – Non-linear growing
- 24. Future Work • Improve attribute list – Talk to experts (ongoing: German Telekom) – Public prototype, evaluate feedback • Apply & evaluate in real life migration scenarios (prototype w/ GUI) • Expand database of Cloud landscape – Scan existing VM images for data – Integrate existing databases (cloudmarket, bitnami) • Support more complex system setups
- 25. Contact Me For Questions, Discussions, or Initiating Research Exchange: Michael Menzel Research Center for Information Technology (FZI) Karlsruhe Institute of Technology (KIT) Englerstr. 11 76131 Karlsruhe Email: menzel@fzi.de
- 26. Slides • Made available on http://www.slideshare.net/mugglmenzel next week • Made available on www2012 Website
- 27. Questions, Comments, Discussion MERCI FOR YOUR ATTENTION!
- 28. DETAILS
- 29. Web server Migration Process (Guidance)
- 30. Web server Migration Process – ctd.
- 31. Process supports evolutionary Migration Incorporate experience Select Set Target Preferences Setup Execute Migration RSuccess!
- 32. Model
- 33. Evaluate VM Images VM Image
- 35. Combining AMIs & Services
- 36. CumulusGenius: Web Frontend CumulusGenius Suggester GWT Aotearoa Evaluation Frontend Component User jClouds User CumulusGenius Preferences Deployments Logic User Data Collector Ratings Images Services currentness of data? own benchmarks
- 37. Apache in the Cloud? Prepare & Plan!