1 logical data models for cc arch
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Logical data models for cloud computing architectures.TRANSCRIPT
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).