Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
Determining Redundancy Levels for Fault Tolerant Real-Time Systems
IEEE Transactions on Computers - Special issue on fault-tolerant computing
High-throughput resource management
The grid
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Introduction to Algorithms
An Economic Paradigm for Query Processing and Data Migration in Mariposa
PDIS '94 Proceedings of the Third International Conference on Parallel and Distributed Information Systems
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Balancing Risk and Reward in a Market-Based Task Service
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
Analyzing Market-Based Resource Allocation Strategies for the Computational Grid
International Journal of High Performance Computing Applications
Failure Prediction in Computational Grids
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
A Feasibility Study of a Virtual Storage System for Large Organizations
VTDC '06 Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing
GPC '09 Proceedings of the 4th International Conference on Advances in Grid and Pervasive Computing
A control-theoretic approach to automated local policy enforcement in computational grids
Future Generation Computer Systems
A highly available spectrum allocation service model in dynamic spectrum market
Future Generation Computer Systems
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One of the major challenges in managing resources of computational Grids with diverse shared resources is how to meet users’ QoS requirements and rationally distribute resources at the same time. In particular, even though less reliable desktop PCs are dominant resource providers of computational Grids, they are often underutilized because they do not exhibit qualities required by typical scientific and business applications targeting computational Grids. Economy-based markets are expected to foster the utilization of those underutilized low quality resource via supply-and-demand. However, our experiment shows that price has its limitation in controlling the supply-and-demand in computational markets. This situation necessitates Highly Available Job Execution Service (HA-JES) which fosters the balanced resource consumption by dynamically and transparently replicating jobs with underutilized and underpriced resources. In particular, the process of job replication in HA-JES occurs in market-driven efficient way; underutilized and therefore cheap resources are exploited to build a high quality resource and hence facilitate balanced resource usage. Our simulation results show that HA-JES benefits all actors in the Grid market in terms of resource utilization, market capacity, and market stability.