Computational Grid technology has been noticed as an issue to solve large-scale bioinformatics-related problems and improves data accuracy and processing speed on multiple computa...
Grid computing is becoming more and more attractive to provide a convenient uniform platform for coordinating highly distributed and heterogeneous resources and services. GridPPI ...
The Modular Information Provider (MIP) has been developed to systematically aggregate multiple sources of information for Grid information services (GIS). MIP undertakes the chall...
Shaowen Wang, Eric Shook, Anand Padmanabhan, Ranso...
Recent years, grid technology has been used widely in the fields of scientific research. In this paper, we present an universal grid environment for Bioinformatics Research (UGE4B...
Interoperability between different Grid implementations is attracting more and more attention to seamlessly job execution. In this paper, one approach is proposed to implement the...
This paper shows that flexibility of workflow executions, i.e., the ability to deviate from a given model on the fly and during execution, is crucial for a wide applicability of w...
In this paper, we propose a new scheduling algorithm with economic theory, called Black Scholes Market (BSM) algorithm for a class of Dynamic Jobs (DJ). BSM is based on the classi...
Bo Cao, Yongwei Wu, Guangwen Yang, Jia Liu, Jianji...
Legacy program execution system, which is necessary for Grid to enable users to reuse all legacy programs without reengineering source codes, is still an open problem. We propose ...
In this paper we present Amadeus, which is a holistic service-oriented environment for QoS-aware Grid workflows. Amadeus considers user's requirements, in terms of QoS constr...
A framework is proposed to manage the distributed and heterogeneous databases in grid environment for understanding protein-protein interaction. Furthermore, the framework is used...