An overview of research and development challenges for managing data in Grid environments is provided. We relate issues in data management at various levels of abstraction, from resources storing data sets, to metadata required to manage access to such data sets. A common set of services is defined as a possible way to manage the diverse set of data resources that could be part of a Grid enviro...

Grid computing is being used in various applications. Many grid applications such as weather forecasting, astrophysics deal with large amounts of data. Data intensive applications involve a high degree of data access locality. In Grid computing environments data storage management on large scale is one of the most challenging issues. Dedicated servers are used for data storage in traditional ap...

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According to a survey by Indian Council of Medical Research, an abysmally low number of people living in rural India have access to specialist care and advice. Telemedicine aims to fill up this gap by enabling specialists deliver medical advice to remote areas. The recent advances in broadband technology for mobile phones add new dimensions to telemedicine by facilitating any time, anywhere acc...

The volume of datasets in scientific computing domain is increasing explosively and data is becoming the center of scientific computing. Data Grid is an emerging technology to provide uniform access and management of the large scale distributed scientific datasets. In this paper, the GridDaen system, a new Data Grid middleware, which provides uniform APIs and GUI to access and manage resources,...