A highly available job execution service in computational service market

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 under-priced 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.