Computing and Information Systems - Research Publications
Permanent URI for this collection
Search Results
1 - 10 of 13
-
ItemAneka: Next-generation enterprise grid platform for e-Science and e-Business applications(IEEE COMPUTER SOC, 2007-01-01)
-
ItemScheduling parameter sweep applications on global Grids: A deadline and budget constrained cost-time optimization algorithm(Wiley, 2005)Computational Grids and peer-to-peer (P2P) networks enable the sharing, selection, and aggregation of geographically distributed resources for solving large-scale problems in science, engineering, and commerce. The management and composition of resources and services for scheduling applications, however, becomes a complex undertaking. We have proposed a computational economy framework for regulating the supply of and demand for resources and allocating them for applications based on the users' quality-of-service requirements. The framework requires economy-driven deadline- and budget-constrained (DBC) scheduling algorithms for allocating resources to application jobs in such a way that the users' requirements are met. In this paper, we propose a new scheduling algorithm, called the DBC cost-time optimization scheduling algorithm, that aims not only to optimize cost, but also time when possible. The performance of the cost-time optimization scheduling algorithm has been evaluated through extensive simulation and empirical studies for deploying parameter sweep applications on global Grids.
-
ItemAn SCP-based heuristic approach for scheduling distributed data-intensive applications on global grids(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2008-04-01)
-
ItemA taxonomy of data grids for distributed data sharing, management, and processing(Association for Computing Machinery (ACM), 2006)Data Grids have been adopted as the next generation platform by many scientific communities that need to share, access, transport, process, and manage large data collections distributed worldwide. They combine high-end computing technologies with high-performance networking and wide-area storage management techniques. In this article, we discuss the key concepts behind Data Grids and compare them with other data sharing and distribution paradigms such as content delivery networks, peer-to-peer networks, and distributed databases. We then provide comprehensive taxonomies that cover various aspects of architecture, data transportation, data replication and resource allocation, and scheduling. Finally, we map the proposed taxonomy to various Data Grid systems not only to validate the taxonomy but also to identify areas for future exploration.
-
ItemPortfolio and investment risk analysis on global grids(ACADEMIC PRESS INC ELSEVIER SCIENCE, 2007-12-01)
-
ItemA dynamic job grouping-based scheduling for deploying applications with fine-grained tasks on global grids(Australian Computer Society, 2005-12-01)
-
ItemA deadline and budget constrained scheduling algorithm for eScience applications on Data Grids(SPRINGER-VERLAG BERLIN, 2005-01-01)
-
ItemAn integration of global and enterprise grid computing: Gridbus Broker and Xgrid perspective(SPRINGER-VERLAG BERLIN, 2005-01-01)
-
Item
-
ItemA toolkit for modelling and simulating data Grids: an extension to GridSim(WILEY, 2008-09-10)