Cloud-based scientific workflow systems can play an important role in the development of
cost-effective bioinformatics analysis applications. There are differences in the cost control …

Autoscalers exploit cloud-computing elasticity to cope with the dynamic computational
demands of scientific workflows. Autoscalers constantly acquire or terminate virtual …

Scientific experiments in bioinformatics are often executed as computational workflows. Data
provenance involves documenting the history, and the paths of the input data, from the …

Social media has been playing a vital importance in information sharing at massive scale
due to its easy access, low cost, and faster dissemination of information. Its competence to …

Genome-wide association study (GWAS) has become an essential method to reveal the
genetic mechanism of complex diseases. In the past decade, the research on GWAS …

Provenance metadata captures history of derivation of an entity, such as a dataset obtained
through numerous data transformations. It is of great importance for science, among other …

With the development of data transactions, data security issues have become increasingly
important. For example, the copyright authentication and provenance of data have become …

The application of big data requires effective tracing of data transmission and flow
processes, so as to achieve effective determination of data authenticity and security. If …

Abstract In Big Data environments, reliability of data plays an important role to determine
trustworthiness of the outcomes of an analysis. Big data provenance ensures the reliability of …

빅데이터의 획득 및 활용이 보편화되면서 개인정보 보호 및 관리가 사회적으로 매우 중요한
이슈로 대두되고 있다. 특히 개인정보 유출은 사생활 침해 및 범죄 악용과 같은 심각한 …