1 logical data models for cc arch

Logical data models for cloud computing architectures (2012 IEEE)

Author: Augustine Samba, Kent State Uni

Presenter: Zafar Gilani

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

The challenge

• Developing efficient cloud architectures isn’t trivial.

– A key challenge is to ensure an effective foundation for evolving cloud services.

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.

Focus areas of various cloud architectures

DMTF high level interaction

• Actors:

– Provider

– Developer

– Consumer

An LDM for DMTF

Service provider can customize one or more

services for each consumer.

Service provider can activate and

deactive services for

each consumer.

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.

An LDM for NIST

Service auditor is an intermediary that assesses service operation and

performance when consumer launches a

service request.

Interacts with Cloud Management &

Operations to provide connectivity and

transport services to the consumer.

Service broker acts as an intermediary

to create bundle services or enhance

existing ones.

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).