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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
âą Five essential characteristics of cloud model:
â On demand self-service,
â Broad network access,
â Resource pooling,
â Rapid elasticity,
â Measured services.
âą Three service models:
â SaaS
â PaaS
â IaaS
3. The challenge
âą Developing efficient cloud architectures isnât
trivial.
â A key challenge is to ensure an effective
foundation for evolving cloud services.
4. Focus of this paper
âą The author analyses existing cloud
architectures and presents generic LDMs for
two such architectures:
â NIST cloud
â DMTF cloud
âą Essentially a framework gathering a common
set of requirements.
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
âą Actors:
â Provider
â Consumer
â Broker
âą An intermediary between Provider and Consumer.
â Carrier
âą Handles hardware and network infrastructure.
â Auditor
âą 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
âą LDMs provide a foundation for developing
hybrid cloud architectures.
âą Organizations can modify LDMs for their
specific needs and business requirements.
âą Advantage?
â LDMs -> framework -> architecture(s).