CLOUD KNOWLEDGE MODELING AND MANAGEMENT

Submitted by admin on Sat, 09/10/2016 - 21:09
Modeling cloud knowledge can be the basis for enabling a large range of reasoning applications. The modeling of cloud knowledge base includes ontologies for cloud model representation at level of IaaS, SaaS and PaaS with all details regarding cloud resources. Additional aspects related to service level agreements and business metrics are also modeled to allow reasoning on cloud reconfiguration and adaptation to different conditions. The present state of the art shows a number of solutions and standards addressing mainly the problem of cloud interoperability and thus intercloud federation. The most widespread applications areas are related to (i) facilitating interoperability among public and private clouds, (ii) verification and validation of cloud configuration, (iii) discovering and brokering of services and resources, (iv) computing cloud simulation, (v) reasoning and adapting cloud workload conditions, and (vi) reasoning about cloud security. In this chapter, the main aspects of cloud knowledge modeling are presented and discussed by taking into account the state of the art solutions.
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urn:axmedis:00000:obj:a1ce3a9a-54fc-4fcc-8d58-e431951cd75d
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CLOUD KNOWLEDGE MODELING AND MANAGEMENT
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