In today‟s electronic world conducting scientific experiments, especially in natural sciences domain, has become more and more challenging for domain scientists since “science” today has turned out to be more complex due to the two dimensional intricacy; one: assorted as well as complex computational (analytical) applications and two: increasingly large volume as well as heterogeneity of scient...

The World Wide Web consortium has developed an Extensible Markup Language (XML) to support the building of better information management infrastructures. The scientific computing community realizing the benefits of XML has designed markup languages for scientific data. In this paper, we propose a XML based scientific data management facility, XDMF. The project is motivated by the fact that even...

Scientific data centers comprised of high-powered computing equipment and large capacity disk storage systems consume considerable amount of energy. Dynamic power management techniques (DPM) are commonly used for saving energy in disk systems. These involve powering down disks that exhibit long idle periods and placing them in standby mode. A file request from a disk in standby mode will incur ...

Infrastructure-as-a-Service clouds offer access to a scalable virtualised infrastructure on a pay-per-use-basis. This is greatly beneficial for the deployment of scientific workflows and as a result considerable effort is being made to develop and update existing workflow management systems to support the cloud resource model. The majority of existing systems are designed to work with tradition...

Many scientific disciplines are now data and information driven, and new scientific knowledge is often gained by scientists putting together data analysis and knowledge discovery “pipelines”. A related trend is that more and more scientific communities realize the benefits of sharing their data and computational services, and are thus contributing to a distributed data and computational communi...

Today, the number of scientific research projects in universities is increasing. The content and system will be more and more complex. The technology in projects will be advanced. And the cost will increase too. The project management involves various factors. More and more uncertain factors will increase the project risk of demonstrating and studying. At present, we still lack the valid means ...