Complexity of cloud infrastructures needs models and tools for process management, configuration, scaling, elastic computing and healthiness control. This paper presents a Smart Cloud solution based on a Knowledge Base, KB, with the aim of modeling cloud resources, Service Level Agreements and their evolution, and enabling the reasoning on structures by implementing strategies of efficient smart cloud management and intelligence. The solution proposed provides formal verification tools and intelligence for cloud control. It can be easily integrated with any cloud configuration manager, cloud orchestrator, and monitoring tool, since the connections with these tools are performed by using REST calls and XML files. It has been validated in the large ICARO Cloud project with a national cloud service provider.

Smart Cloud Engine and Solution Based on Knowledge Base / Bellini, Pierfrancesco; Cenni, Daniele; Nesi, Paolo. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - STAMPA. - 68:(2015), pp. 3-16. [10.1016/j.procs.2015.09.219]

Smart Cloud Engine and Solution Based on Knowledge Base

BELLINI, PIERFRANCESCO;CENNI, DANIELE;NESI, PAOLO
2015

Abstract

Complexity of cloud infrastructures needs models and tools for process management, configuration, scaling, elastic computing and healthiness control. This paper presents a Smart Cloud solution based on a Knowledge Base, KB, with the aim of modeling cloud resources, Service Level Agreements and their evolution, and enabling the reasoning on structures by implementing strategies of efficient smart cloud management and intelligence. The solution proposed provides formal verification tools and intelligence for cloud control. It can be easily integrated with any cloud configuration manager, cloud orchestrator, and monitoring tool, since the connections with these tools are performed by using REST calls and XML files. It has been validated in the large ICARO Cloud project with a national cloud service provider.
2015
68
3
16
Bellini, Pierfrancesco; Cenni, Daniele; Nesi, Paolo
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1050345
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