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.
IntroductionScience is broadly categorized into various distinct fields. However, there is a recent trend toward large-scale cross-disciplinary scientific research projects involving multiple organizations. A good example is in the field of environmental science, which involves studying the interactions of the physical, chemical, and biological components of the environment, with particular emphasis on the impact of human activities on biodiversity and sustainability. The participating researchers in such cross-disciplinary scientific research projects require efficient access to geographically distributed sensors and instruments, computational servers, and storage to carry out time-critical data collection, processing, analysis, and management tasks.e-Science is a paradigm shift in scientific research that enables scientists to generate, process, and access data from distributed sources while making use of