Manageability

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The Experts below are selected from a list of 10056 Experts worldwide ranked by ideXlab platform

Vishnu Teja Kilari - One of the best experts on this subject based on the ideXlab platform.

  • Network function virtualization in the multi-tenant cloud
    IEEE Network, 2015
    Co-Authors: Vishnu Teja Kilari
    Abstract:

    With more and more tenants launching their applications on the cloud, various requirements have been posed regarding the cloud's performance, security, and management. In the face of tenant demands, the cloud provider deploys different hardware middleboxes, carrying out different network functions, and enhancing the cloud's capability in serving tenant requirements. While middleboxes are crucial to the cloud, concerns have been raised regarding their costs, Manageability, and performance overhead. To tackle these problems, researchers have proposed an alternative to hardware middleboxes: network function virtualization. Software applications are deployed in place of hardware middleboxes, offering equivalent functionalities while greatly improving flexibility, Manageability, and cost-efficiency. In this paper we discuss opportunities and challenges that network function virtualization brings to the multi-tenant cloud. We also propose a cloud architecture that exploits virtual network functions. Our contributions can serve as an enlightener for future efforts in this area.

John W Graham - One of the best experts on this subject based on the ideXlab platform.

Dejan Milojicic - One of the best experts on this subject based on the ideXlab platform.

  • Quantifying Manageability of Cloud Platforms
    2012 IEEE Fifth International Conference on Cloud Computing, 2012
    Co-Authors: Madhavi Maiya, Sai Dasari, Ravi Yadav, Sandhya Shivaprasad, Dejan Milojicic
    Abstract:

    Cloud computing has changed the way companies are managing their IT infrastructure and application development and/or deployment. While there are a number of Cloud platforms available, it is a challenge to identify a cloud platform that best suits the business needs. As a consequence Cloud service providers may end up selecting a platform that is either too low- or too high-level to manage, or does not offer the paradigms needed. In this paper, we introduce the Cloud Manageability metrics and an approach to quantify the Manageability of cloud platforms using the introduced metrics. We then use the metrics and approach to compare Manageability of different cloud IaaS and PaaS platforms for specific use case scenarios. The values for the metrics are derived by executing the use cases in each platform using test environments. Based on the results of the comparison, we recommend a cloud platform that is best suited for different organizations needs with respect to cloud management. We expect that the proposed approach will help organizations to evaluate various cloud platforms and choose the platform that best matches their needs.

Mike J Roberts - One of the best experts on this subject based on the ideXlab platform.

Madhavi Maiya - One of the best experts on this subject based on the ideXlab platform.

  • Quantifying Manageability of Cloud Platforms
    2012 IEEE Fifth International Conference on Cloud Computing, 2012
    Co-Authors: Madhavi Maiya, Sai Dasari, Ravi Yadav, Sandhya Shivaprasad, Dejan Milojicic
    Abstract:

    Cloud computing has changed the way companies are managing their IT infrastructure and application development and/or deployment. While there are a number of Cloud platforms available, it is a challenge to identify a cloud platform that best suits the business needs. As a consequence Cloud service providers may end up selecting a platform that is either too low- or too high-level to manage, or does not offer the paradigms needed. In this paper, we introduce the Cloud Manageability metrics and an approach to quantify the Manageability of cloud platforms using the introduced metrics. We then use the metrics and approach to compare Manageability of different cloud IaaS and PaaS platforms for specific use case scenarios. The values for the metrics are derived by executing the use cases in each platform using test environments. Based on the results of the comparison, we recommend a cloud platform that is best suited for different organizations needs with respect to cloud management. We expect that the proposed approach will help organizations to evaluate various cloud platforms and choose the platform that best matches their needs.