Aggregated Capability Assessment (AgCA) for CAIQ enabled Cross-cloud Federation

Abstract :  Cross-Cloud Federation (CCF) enables resource exchange among multiple, heterogeneous Cloud Service Providers (CSPs) to support the composition of services (workflow) hosted by different providers. CCF participation can either be fixed, or the types of services that can be used are limited to reduce the potential risk of service failure or secure access. Although many service selection approaches have been proposed in literature for cloud computing, their applicability to CCF i.e. cloud-to-cloud interaction, has not been adequately investigated.A key component of this cloud-to-cloud paradigm involves assessing the combined capability of contributing participants within a federation and their connectivity. A novel Aggregated Capability Assessment (AgCA) approach based on using the Consensus Assessment Initiative Questionnaire from Cloud Security Alliance is proposed for CCF. The proposed mechanism is implemented as a component of a centralized broker to enhance the quality of the selection process for participants within a federation. Our experimental results show that AgCA is a useful tool for partner selection in a dynamic, heterogeneous and multilevel cloud federation.

 EXISTING SYSTEM :

 ? Their goal is to build an improved cloud service ecosystem that supports higher-level concerns and nonfunctional aspects to achieve a wider adoption of Cloud Computing. ? The project follows a holistic approach for multiple coexisting cloud architectures and they target cloud service life-cycle optimization including cost, trust, risk and economic goals. ? By following the guidelines defined by the European Commission, and putting together the pieces of already existing, promising solutions of federation approaches of various research works, we will arrive to such federations that will be able to operate efficient ecosystems attracting thousands of users.

 DISADVANTAGE :

 ? CSPs contributing to cross-cloud federation are not constrained by the limitations of other providers, but they are able to choose from a shared pool of resources contributed by multiple peers. ? Regardless of these benefits, CSPs are reluctant to contribute to CCF, mostly due to the lack of confidence among each other. ? Utilization of CAIQ for peer selection in cloud computing has been first practiced by Habib et al. The authors apply the notion of security attributes as defined by the Cloud Security Alliance (CSA) CAIQ framework. ? However, the article lacks a description of using it. In another attempt , Habib et al. elaborate their previous concept by creating a CAIQ-based evaluation system for cloud selection.

 PROPOSED SYSTEM :

 • To enable the meta-brokering service to differentiate between cloud providers, we proposed to use a basic service that is used to cost effectively determine the important characteristics of the available VMs in the federation. • As a result, the system is capable to evaluate and choose between both public and private clouds based on the same kind of metrics. • We refer to this basic service as the Minimal Metric Monitoring Service (M3S), which is capable of measuring infrastructure reliability together with the integrated SALMon framework in public and private clouds.

 ADVANTAGE :

 ? All CSPs joining the federation may have different types of computational infrastructure and may support monitoring of different performance metrics. ? A CSP could be a provider with a huge and sustained user community, or could be a new entrant with limited experience in service delivery. ? The model is based on the performance history of a CSP. ? It addresses provider and consumer concerns by relying on a third party provider to collect various data to perform the evaluation, assessing the risk that can be associated with a CSP for a cloud consumer, based on security, privacy and service performance metrics.