Achieving Robust, Scalable Cluster I/O in Java

We present Tigris, a high-performance computation and I/O substrate for clusters of workstations that is implemented entirely in Java. Tigris automatically balances resource load across the cluster as a whole, shielding applications from asymmetries in CPU, I/O, and network performance. This is accomplished through the use of a dataflow programming model coupled with a work-balancing distributed queue. To meet the performance challenges of implementing such a system in Java, Tigris relies on Jaguar, a system that enables direct, protected access to hardware resources, including fast network interfaces and disk I/O. Jaguar yields an order-of-magnitude performance boost over the Java Native Interface for Java bindings to system resources. We demonstrate the applicability of Tigris through a one-pass, parallel, disk-to-disk sort exhibiting high performance