Reliable resource provision policy for cloud computing

Cloud computing has become a hot topic, researchers proposed various resource sharing technique and resource provision technique. However, very limited literatures pay attentions to the reliability of dynamically provided resources. This paper proposes failure rules aware node resource provision policies for heterogeneous services consolidated in cloud computing infrastructure, and evaluates the proposed policy with simulation approach, i.e., implements a simulator of heterogeneous service consolidation platform, which take characteristics of heterogeneous services (both characteristics of resource utility and failure rules), into consideration, and uses two production traces to synthesize inputs. In order to evaluate wide ranges of failure rules, this paper proposes a multi-dimension failure modeling framework, i.e., adapt various factors about failure distribution involving temporal and spatial factors to study the proposed policy's capability. The results of evaluation indicate that the proposed resource provision policy is effective for providing robust nodes for heterogeneous services, i.e., the policy can mask more potential node reboot failures from services and leave less chances of unplanned failures, e.g., service failure or node reboot, compared with baseline fault re-provided policy. In addition, the policy is able to mask non-uniformly distribution among resource's reliability system wide. Meanwhile, the policy involves no negative impact on service performance and on node's resource utility, compared with baseline policy. Evaluation with failure rules about temporal and spatial factors indicates that the policy is useful for could computing environment.