Modeling and Analysis of State-of-the-art VM-based Cloud Management Platforms

1. Modeling and Analysis of State-of-the-art VM-based Cloud Management Platforms Saif U. K. Malik, Samee U. Khan, Senior Member, IEEE, Surdarshan K. Srinivansan, Member, IEEE IEEE TRANSACTIONS ON CLOUD COMPUTING (2013) 報告者： 計財15100071018韋自鴻 計財15100071020楊佑濬

2. Introduction

3. What is Cloud Computing?

4. Cloud Computing structure Application Social Computing, Enterprise, ISV,… User Level User-Level Middleware Programming language Web 2.0 介面, Mashups, Workflows, … Control QosNeqotiation, Ddmission Control, Pricing, SLA Management, Metering… Core Middleware Virtualization VM, VM management and Deployment System Level

5. 現有的雲端運算服務 • Windows • Google • Amazon • Yahoo • ......

6. Type of Cloud Computing Industry

7. Features of cloud computing Virtualization Large scale High reliability pay-as-you-go High Scalability High versatility Low Cost

8. Cloud Computing Industry IaaS Infrastructure as a Service • Delivers computer infrastructure such as virtualization, storage, and networking that offers incremental scalability. • infrastructure stack: • Full OS access • Firewalls • Routers • Load balancing

9. Cloud Computing Industry IaaS Examples • Flexiscale • AWS: EC2 (Amazon Elastic Compute Cloud)

10. Cloud Computing Industry PaaS IaaS Platform as a Service • Provide a platform for system administrators and developers to build, test and deploy custom applications • Expensive cost management system Popular services • Storage • Database • Scalability

11. Cloud Computing Industry PaaS IaaS Examples • Google App Engine • AWS: S3 (Simple Storage Service) • Microsoft Azure

12. Cloud Computing Industry SaaS PaaS IaaS Software as a Service Do not manage hardware and software Simple operation (browser) Pay per use Instant Scalability Security Reliability

13. Cloud Computing Industry SaaS PaaS IaaS Examples • Google Docs • CRM • Financial Planning • Human Resources • Word processing • Salesforce.com

14. Comparison table

15. Open Source IaaS • the most widely used open source hypervisors in the recent IaaS providers: • (a) Xen • (b) KVM • three open source state-of-the-art VM-based cloud management platforms : • (a) Eucalyptus • (b) Open Nebula • (c) Nimbus

16. Eucalyptus • The less level of customization that makes it appropriate for a private company, where one needs a cloud for own use and wants to avoid mistakes from the users. • The best feature is compatible with Amazon EC2.

17. Open Nebula • the highest level of customizability that allow users to switch almost every component from the underlying Virtual Machine Monitor (VMM) to the frontend. • Open Nebula is suitable in an experimental environment, where one wants to explore every component and crack new results from the computational perspective.

18. Nimbus • Nimbus also provides a high level of customization. • However, the major portion of customization in Nimbus is available to the administrator. • Nimbus is more suitable for an environment, where one is less interested in technical details of the systems, but requires a broad level of customization, such as cooperative scientific communities.

19. Modeling and Analysis of the systems • In this study, we made an effort to diminish the level of abstraction through detailed modeling and formal analysis of the platforms being discussed. • We have used High Level Petri Nets (HLPN) and Z language for the modeling and analysis of the systems.

20. High Level Petri Nets (HLPN) • HLPN is used to: (a) simulate the systems and (b) provide mathematical representation, to analyze the behavior and structural properties of the system. • The model of the systems will help analyze: • (1) the interconnection of the components and processes . • (2) the fine-grain details of the flow of information amongst the processes. • (3) how the information is processed.

21. Z3 solver • First, we performed the automated verification of the models by Checking technique using Satisfiability Modulo Theories Library (SMTLib) and Z3 solver. • Then, Z3 solver is used to check either the model satisfies the properties or not. • Second, to verify the feasibility of the models as the number of VMs scales and verify the correctness. • The results generated reveals that the models are working correctly.

22. Modeling and Analysis of VM-based Cloud Management Platforms

23. Eucalyptus Architecture

24. HLPN of Eucalyptus

25. Conclusion for Eucalyptus • Supports corporate enterprise computing setting • The administration space is separated from the user space. • Easy to deploy on top of the existing resource. • Suitable for experimentation because of having modular design open source in nature. • Users are only allowed to use the system through web interface

26. Open Nebula Architecture

27. HLPN of Open Nebula

28. Conclusion for Open Nebula • The level of customization available of Open Nebula is suitable for researchers who wish to combine cloud system with other technologies. • The centralized nature makes administration easier • Higher level of customization makes it ideal for research • Users need to have some technical expertise • Users can make a mistake while providing config for a VM

29. Nimbus Architecture

30. HLPN of Nimbus

31. Conclusion for Nimbus • Provides different resources leases to different users as a mean of scheduling • The flexibility and customization available to perform experiment • Workspace tools can operate with Xen hypervisor and as well as KVM.

32. Verification of Models Using SMT-Lib and Z3 Solver

33. Kripke structure and Computational Tree

39. CONCLUSIONS AND FUTURE WORK

40. CONCLUSIONS AND FUTURE WORK • In future, we will analyze, model, and verify some other cloud management platforms, such as OpenStack, oVirt, and ECP. • Moreover, we will also perform a detailed feasibility analysis of the aforesaid platforms under different SLA constraints.