The Experts below are selected from a list of 200874 Experts worldwide ranked by ideXlab platform

Rajkumar Buyya - One of the best experts on this subject based on the ideXlab platform.

  • sla based resource provisioning for hosted software as a service applications in cloud computing environments
    IEEE Transactions on Services Computing, 2014
    Co-Authors: Linlin Wu, Saurabh Kumar Garg, Steven Cornelis Versteeg, Rajkumar Buyya
    Abstract:

    Cloud computing is a solution for addressing challenges such as licensing, distribution, configuration, and operation of enterprise applications associated with the traditional IT Infrastructure, software sales and deployment models. Migrating from a traditional model to the Cloud model reduces the maintenance complexity and cost for enterprise customers, and provides on-going revenue for Software as a Service (SaaS) providers. Clients and SaaS providers need to establish a Service Level Agreement (SLA) to define the Quality of Service (QoS). The main objectives of SaaS providers are to minimize cost and to improve Customer Satisfaction Level (CSL). In this paper, we propose customer driven SLA-based resource provisioning algorithms to minimize cost by minimizing resource and penalty cost and improve CSL by minimizing SLA violations. The proposed provisioning algorithms consider customer profiles and providers' quality parameters (e.g., response time) to handle dynamic customer requests and Infrastructure Level heterogeneity for enterprise systems. We also take into account customer-side parameters (such as the proportion of upgrade requests), and Infrastructure-Level parameters (such as the service initiation time) to compare algorithms. Simulation results show that our algorithms reduce the total cost up to 54 percent and the number of SLA violations up to 45 percent, compared with the previously proposed best algorithm.

  • SLA-Based Resource Allocation for Software as a Service Provider (SaaS) in Cloud Computing Environments
    2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2011
    Co-Authors: Linlin Wu, Saurabh Kumar Garg, Rajkumar Buyya
    Abstract:

    Cloud computing has been considered as a solution for solving enterprise application distribution and configuration challenges in the traditional software sales model. Migrating from traditional software to Cloud enables on-going revenue for software providers. However, in order to deliver hosted services to customers, SaaS companies have to either maintain their own hardware or rent it from Infrastructure providers. This requirement means that SaaS providers will incur extra costs. In order to minimize the cost of resources, it is also important to satisfy a minimum service Level to customers. Therefore, this paper proposes resource allocation algorithms for SaaS providers who want to minimize Infrastructure cost and SLA violations. Our proposed algorithms are designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to Infrastructure Level parameters and handling heterogeneity of Virtual Machines. We take into account the customers' Quality of Service parameters such as response time, and Infrastructure Level parameters such as service initiation time. This paper also presents an extensive evaluation study to analyze and demonstrate that our proposed algorithms minimize the SaaS provider's cost and the number of SLA violations in a dynamic resource sharing Cloud environment.

  • CCGRID - SLA-Based Resource Allocation for Software as a Service Provider (SaaS) in Cloud Computing Environments
    2011 11th IEEE ACM International Symposium on Cluster Cloud and Grid Computing, 2011
    Co-Authors: Saurabh Garg, Rajkumar Buyya
    Abstract:

    Cloud computing has been considered as a solution for solving enterprise application distribution and configuration challenges in the traditional software sales model. Migrating from traditional software to Cloud enables on-going revenue for software providers. However, in order to deliver hosted services to customers, SaaS companies have to either maintain their own hardware or rent it from Infrastructure providers. This requirement means that SaaS providers will incur extra costs. In order to minimize the cost of resources, it is also important to satisfy a minimum service Level to customers. Therefore, this paper proposes resource allocation algorithms for SaaS providers who want to minimize Infrastructure cost and SLA violations. Our proposed algorithms are designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to Infrastructure Level parameters and handling heterogeneity of Virtual Machines. We take into account the customers' Quality of Service parameters such as response time, and Infrastructure Level parameters such as service initiation time. This paper also presents an extensive evaluation study to analyze and demonstrate that our proposed algorithms minimize the SaaS provider's cost and the number of SLA violations in a dynamic resource sharing Cloud environment.

Burkhard Stiller - One of the best experts on this subject based on the ideXlab platform.

  • Token-Based Payment in Dynamic SAML-Based Federations
    Resilient Networks and Services, 2008
    Co-Authors: David J. Lutz, Burkhard Stiller
    Abstract:

    The newly developed approach on token-based payments introduces an integration of payments with current schemes for Identity Federations based on SAML. This new design utilizes an established federation Infrastructure as well as its protocols. Only relevant mechanisms to support the payment on the federation Infrastructure Level are extended.

  • AIMS - Token-Based Payment in Dynamic SAML-Based Federations
    Lecture Notes in Computer Science, 2008
    Co-Authors: David J. Lutz, Burkhard Stiller
    Abstract:

    The newly developed approach on token-based payments introduces an integration of payments with current schemes for Identity Federations based on SAML. This new design utilizes an established federation Infrastructure as well as its protocols. Only relevant mechanisms to support the payment on the federation Infrastructure Level are extended.

Linlin Wu - One of the best experts on this subject based on the ideXlab platform.

  • sla based resource provisioning for hosted software as a service applications in cloud computing environments
    IEEE Transactions on Services Computing, 2014
    Co-Authors: Linlin Wu, Saurabh Kumar Garg, Steven Cornelis Versteeg, Rajkumar Buyya
    Abstract:

    Cloud computing is a solution for addressing challenges such as licensing, distribution, configuration, and operation of enterprise applications associated with the traditional IT Infrastructure, software sales and deployment models. Migrating from a traditional model to the Cloud model reduces the maintenance complexity and cost for enterprise customers, and provides on-going revenue for Software as a Service (SaaS) providers. Clients and SaaS providers need to establish a Service Level Agreement (SLA) to define the Quality of Service (QoS). The main objectives of SaaS providers are to minimize cost and to improve Customer Satisfaction Level (CSL). In this paper, we propose customer driven SLA-based resource provisioning algorithms to minimize cost by minimizing resource and penalty cost and improve CSL by minimizing SLA violations. The proposed provisioning algorithms consider customer profiles and providers' quality parameters (e.g., response time) to handle dynamic customer requests and Infrastructure Level heterogeneity for enterprise systems. We also take into account customer-side parameters (such as the proportion of upgrade requests), and Infrastructure-Level parameters (such as the service initiation time) to compare algorithms. Simulation results show that our algorithms reduce the total cost up to 54 percent and the number of SLA violations up to 45 percent, compared with the previously proposed best algorithm.

  • SLA-Based Resource Allocation for Software as a Service Provider (SaaS) in Cloud Computing Environments
    2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2011
    Co-Authors: Linlin Wu, Saurabh Kumar Garg, Rajkumar Buyya
    Abstract:

    Cloud computing has been considered as a solution for solving enterprise application distribution and configuration challenges in the traditional software sales model. Migrating from traditional software to Cloud enables on-going revenue for software providers. However, in order to deliver hosted services to customers, SaaS companies have to either maintain their own hardware or rent it from Infrastructure providers. This requirement means that SaaS providers will incur extra costs. In order to minimize the cost of resources, it is also important to satisfy a minimum service Level to customers. Therefore, this paper proposes resource allocation algorithms for SaaS providers who want to minimize Infrastructure cost and SLA violations. Our proposed algorithms are designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to Infrastructure Level parameters and handling heterogeneity of Virtual Machines. We take into account the customers' Quality of Service parameters such as response time, and Infrastructure Level parameters such as service initiation time. This paper also presents an extensive evaluation study to analyze and demonstrate that our proposed algorithms minimize the SaaS provider's cost and the number of SLA violations in a dynamic resource sharing Cloud environment.

Saurabh Kumar Garg - One of the best experts on this subject based on the ideXlab platform.

  • sla based resource provisioning for hosted software as a service applications in cloud computing environments
    IEEE Transactions on Services Computing, 2014
    Co-Authors: Linlin Wu, Saurabh Kumar Garg, Steven Cornelis Versteeg, Rajkumar Buyya
    Abstract:

    Cloud computing is a solution for addressing challenges such as licensing, distribution, configuration, and operation of enterprise applications associated with the traditional IT Infrastructure, software sales and deployment models. Migrating from a traditional model to the Cloud model reduces the maintenance complexity and cost for enterprise customers, and provides on-going revenue for Software as a Service (SaaS) providers. Clients and SaaS providers need to establish a Service Level Agreement (SLA) to define the Quality of Service (QoS). The main objectives of SaaS providers are to minimize cost and to improve Customer Satisfaction Level (CSL). In this paper, we propose customer driven SLA-based resource provisioning algorithms to minimize cost by minimizing resource and penalty cost and improve CSL by minimizing SLA violations. The proposed provisioning algorithms consider customer profiles and providers' quality parameters (e.g., response time) to handle dynamic customer requests and Infrastructure Level heterogeneity for enterprise systems. We also take into account customer-side parameters (such as the proportion of upgrade requests), and Infrastructure-Level parameters (such as the service initiation time) to compare algorithms. Simulation results show that our algorithms reduce the total cost up to 54 percent and the number of SLA violations up to 45 percent, compared with the previously proposed best algorithm.

  • SLA-Based Resource Allocation for Software as a Service Provider (SaaS) in Cloud Computing Environments
    2011 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2011
    Co-Authors: Linlin Wu, Saurabh Kumar Garg, Rajkumar Buyya
    Abstract:

    Cloud computing has been considered as a solution for solving enterprise application distribution and configuration challenges in the traditional software sales model. Migrating from traditional software to Cloud enables on-going revenue for software providers. However, in order to deliver hosted services to customers, SaaS companies have to either maintain their own hardware or rent it from Infrastructure providers. This requirement means that SaaS providers will incur extra costs. In order to minimize the cost of resources, it is also important to satisfy a minimum service Level to customers. Therefore, this paper proposes resource allocation algorithms for SaaS providers who want to minimize Infrastructure cost and SLA violations. Our proposed algorithms are designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to Infrastructure Level parameters and handling heterogeneity of Virtual Machines. We take into account the customers' Quality of Service parameters such as response time, and Infrastructure Level parameters such as service initiation time. This paper also presents an extensive evaluation study to analyze and demonstrate that our proposed algorithms minimize the SaaS provider's cost and the number of SLA violations in a dynamic resource sharing Cloud environment.

David J. Lutz - One of the best experts on this subject based on the ideXlab platform.

  • Token-Based Payment in Dynamic SAML-Based Federations
    Resilient Networks and Services, 2008
    Co-Authors: David J. Lutz, Burkhard Stiller
    Abstract:

    The newly developed approach on token-based payments introduces an integration of payments with current schemes for Identity Federations based on SAML. This new design utilizes an established federation Infrastructure as well as its protocols. Only relevant mechanisms to support the payment on the federation Infrastructure Level are extended.

  • AIMS - Token-Based Payment in Dynamic SAML-Based Federations
    Lecture Notes in Computer Science, 2008
    Co-Authors: David J. Lutz, Burkhard Stiller
    Abstract:

    The newly developed approach on token-based payments introduces an integration of payments with current schemes for Identity Federations based on SAML. This new design utilizes an established federation Infrastructure as well as its protocols. Only relevant mechanisms to support the payment on the federation Infrastructure Level are extended.