The Experts below are selected from a list of 327 Experts worldwide ranked by ideXlab platform

Kenneth Van Surksum - One of the best experts on this subject based on the ideXlab platform.

Paolo Nesi - One of the best experts on this subject based on the ideXlab platform.

  • CLOUD - A Knowledge Base Driven Solution for Smart Cloud Management
    2015 IEEE 8th International Conference on Cloud Computing, 2015
    Co-Authors: Pierfrancesco Bellini, Daniele Cenni, Paolo Nesi
    Abstract:

    The complexity of Cloud infrastructures is increasing every year, requiring new concepts and tools to face off topics such as process Configuration and reConfiguration, automatic 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, while enabling the reasoning on cloud structures and implementing strategies of efficient smart cloud management and intelligence. The solution proposed is composed of Smart Cloud Engine, SCE, the Knowledge Base, KB, and the Supervisor and Monitoring module for data acquisition. It can be easily integrated with any cloud Configuration Manager, cloud orchestra or, and monitoring tool, since the connections with these tools are performed by using REST calls and XML files.

  • Cloud Forward - Smart Cloud Engine and Solution Based on Knowledge Base
    Procedia Computer Science, 2015
    Co-Authors: Pierfrancesco Bellini, Daniele Cenni, Paolo Nesi
    Abstract:

    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.

Jy Drowley - One of the best experts on this subject based on the ideXlab platform.

  • SCCM & Windows 10 SOE
    2017
    Co-Authors: Jy Drowley
    Abstract:

    System Center Configuration Manager simplify's the management and migration of existing devices to Win 10 SCCM manages the deployment of system updates and endpoint virus protection. Microsoft SCCM will become the platform for Federation University to manage the deployment of the new Windows 10 SOE for students while enabling "BYOD" Bring Your Own Device alternative models for device deployment & management.

  • sccm windows 10 soe
    2017
    Co-Authors: Jy Drowley
    Abstract:

    System Center Configuration Manager simplify's the management and migration of existing devices to Win 10 SCCM manages the deployment of system updates and endpoint virus protection. Microsoft SCCM will become the platform for Federation University to manage the deployment of the new Windows 10 SOE for students while enabling "BYOD" Bring Your Own Device alternative models for device deployment & management.

Pierfrancesco Bellini - One of the best experts on this subject based on the ideXlab platform.

  • CLOUD - A Knowledge Base Driven Solution for Smart Cloud Management
    2015 IEEE 8th International Conference on Cloud Computing, 2015
    Co-Authors: Pierfrancesco Bellini, Daniele Cenni, Paolo Nesi
    Abstract:

    The complexity of Cloud infrastructures is increasing every year, requiring new concepts and tools to face off topics such as process Configuration and reConfiguration, automatic 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, while enabling the reasoning on cloud structures and implementing strategies of efficient smart cloud management and intelligence. The solution proposed is composed of Smart Cloud Engine, SCE, the Knowledge Base, KB, and the Supervisor and Monitoring module for data acquisition. It can be easily integrated with any cloud Configuration Manager, cloud orchestra or, and monitoring tool, since the connections with these tools are performed by using REST calls and XML files.

  • Cloud Forward - Smart Cloud Engine and Solution Based on Knowledge Base
    Procedia Computer Science, 2015
    Co-Authors: Pierfrancesco Bellini, Daniele Cenni, Paolo Nesi
    Abstract:

    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.

Daniele Cenni - One of the best experts on this subject based on the ideXlab platform.

  • CLOUD - A Knowledge Base Driven Solution for Smart Cloud Management
    2015 IEEE 8th International Conference on Cloud Computing, 2015
    Co-Authors: Pierfrancesco Bellini, Daniele Cenni, Paolo Nesi
    Abstract:

    The complexity of Cloud infrastructures is increasing every year, requiring new concepts and tools to face off topics such as process Configuration and reConfiguration, automatic 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, while enabling the reasoning on cloud structures and implementing strategies of efficient smart cloud management and intelligence. The solution proposed is composed of Smart Cloud Engine, SCE, the Knowledge Base, KB, and the Supervisor and Monitoring module for data acquisition. It can be easily integrated with any cloud Configuration Manager, cloud orchestra or, and monitoring tool, since the connections with these tools are performed by using REST calls and XML files.

  • Cloud Forward - Smart Cloud Engine and Solution Based on Knowledge Base
    Procedia Computer Science, 2015
    Co-Authors: Pierfrancesco Bellini, Daniele Cenni, Paolo Nesi
    Abstract:

    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.