1 logical data models for cc arch
- 1. Logical data models for cloud computing architectures (2012 IEEE) Author: Augustine Samba, Kent State Uni Presenter: Zafar Gilani
- 2. Cloud characteristics • Five essential characteristics of cloud model: – On demand self-service, – Broad network access, – Resource pooling, – Rapid elasticity, – Measured services. • Three service models: – SaaS – PaaS – IaaS
- 3. The challenge • Developing efficient cloud architectures isn’t trivial. – A key challenge is to ensure an effective foundation for evolving cloud services.
- 4. Focus of this paper • The author analyses existing cloud architectures and presents generic LDMs for two such architectures: – NIST cloud – DMTF cloud • Essentially a framework gathering a common set of requirements.
- 5. Focus areas of various cloud architectures
- 6. DMTF high level interaction • Actors: – Provider – Developer – Consumer
- 7. Service provider can An LDM for DMTF activate and deactive services for each consumer. Service provider can customize one or more services for each consumer.
- 8. NIST high level interaction • Actors: – Provider – Consumer – Broker • An intermediary between Provider and Consumer. – Carrier • Handles hardware and network infrastructure. – Auditor • Performs assessment of services, operations and performance.
- 9. Interacts with Cloud Service broker acts Management & as an intermediary Operations to provide connectivity and transport services to An LDM for NIST to create bundle services or enhance existing ones. the consumer. Service auditor is an intermediary that assesses service operation and performance when consumer launches a service request.
- 10. Conclusion • LDMs provide a foundation for developing hybrid cloud architectures. • Organizations can modify LDMs for their specific needs and business requirements. • Advantage? – LDMs -> framework -> architecture(s).