AQINM: an adaptive QoS management framework based on intelligent negotiation and monitoring in cloud

More and more federated cloud platforms have been constructed to deal with non-trivial large-scale applications, which typically require certain level of quality-of-service (QoS) guarantee. However, most of existing cloud-oriented QoS solutions are likely to introduce extra overheads on either resource allocation or task execution, which is especially true in federated cloud environments. In this paper, we design and implement a QoS-enhancing framework, namely adaptive QoS management based on intelligent negotiation and monitoring (AQINM), which provides three QoS-enhancing services including policy management, service level agreement (SLA) negotiation, and SLA monitoring. Unlike the conventional QoS-enable middleware, these services in the AQINM framework introduce several novel mechanisms to offer more cost-effective and efficient solutions to enforcing the QoS management in federated clouds. The implementation of our AQINM framework are tested in a campus federated cloud platform by using different applications as experimental benchmarks, and its performance are compared with other similar solutions. The experimental results show that the proposed AQINM is capable of reducing the costs of SLA negotiation and monitoring for large-scale cloud application that deployed in federated cloud environments.