A Smart e-Science Cyberinfrastructure for Cross-Disciplinary Scientific Collaborations.

Large-scale cross-disciplinary scientific collaborations are increasingly common and require an overarching e-Science cyberinfrastructure. However, the ad hoc and incoherent integration of computational and storage resources, sensor networks, and scientific data sharing and knowledge inference models cannot effectively support cross-domain and collaborative scientific research. In this work, we design and develop a smart e-Science cyberinfrastructure which forms the key resource-sharing backbone that enables each participating scientific community to expose their sensor, computational, data, and intellectual resources in a service-oriented manner, accompanied by the domain-specific knowledge.