Security and QoS Guarantee-based Resource Allocation within Cloud Computing Environment
ABSTRACT :
Data and services in a Cloud Computing are not limited to a single organization’s perimeter and span multiple trusted or untrusted domains. In addition, data security and privacy are the most challenging barriers to generalized cloud adoption. In this paper, we propose two architectures (inter-cloud Broker and Federation) enabling best cloud resources selection based on optimal cost, Quality of Service (QoS) and security guarantee for Network as a Service (NaaS) and Infrastructure as a Service (IaaS) services in a Cloud Computing environment. We simulate our proposed framework to evaluate the best cloud resources selection and the impact of security on QoS guarantee. The obtained results show this impact and that the Broker architecture is the most economical while ensuring QoS and security requirements.
EXISTING SYSTEM :
Introduced from this relocation to the cloud, deteriorating much of the effectiveness of traditional protection mechanisms. However, protection mechanisms in the intercloud approach must be put in place to protect CSU services and data. These mechanisms should be adapted to the flexible allocation and rapid provisioning of secure services. Moreover, security assurance could have a great impact on the QoS guarantee. In fact, storing and retrieving security information as well as the encryption and decryption of data lead to an increase in network traffic, additional processing consumption and more delay and latency. Thus, there is a relation between QoS and security, and both need to be carefully managed in a global framework and not separately. Although the important increase in the number of CSPs and services, which enables the evolution of a highly competitive cloud computing market, the service selection process is currently done manually without relying on objective QoS and security criteria. This renders the service selection process prone to adopting non-optimum provider paths for delivering the composite service, which in many cases does not comply with the required performance and pricing specifications. This is an important challenge that will be more and more obliging with the widespread adoption of cloud computing, which necessitates the presence of an autonomic service selection for supporting scalability and efficient operation of composite service advertisement, publishing, discovery, and consumption in the cloud.
PROPOSED SYSTEM :
In this paper, we propose two architectures (inter-cloud Broker and Federation) enabling best cloud resources selection based on optimal cost, Quality of Service (QoS) and security guarantee for Network as a Service (NaaS) and Infrastructure as a Service (IaaS) services in a Cloud Computing environment. We simulate our proposed framework to evaluate the best cloud resources selection and the impact of security on QoS guarantee. we specify how QoS and security are coupled in a global end-to-end architecture for providing cloud services. In addition, we calculate service costs, as well as studying the impact of security on QoS.
CONCLUSION :
In this paper, we presented two architectures for the best cloud resources selection based on optimal cost and QoS as well as security guarantee for NaaS and IaaS services in conformance with an SLA in a cloud computing environment. In addition, we focused on the impact of security assurance on QoS guarantee. Finally, we have evaluated our proposed framework for a cloud videoconferencing application. We have obtained good results by enabling good performances for this application. In particular, we have observed that the Broker architecture is the most economical while ensuring QoS and security requirements, in addition to the security impact on QoS guarantee. As a future work, we intend to enable the self-management of SLAs and allocated resources using the MAPE-K control loop to prevent SLA violations and penalties. Then, we intend to propose an implementation and a concrete real validation platform with additional algorithms for best storage resource selection.