Increasingly scientific discoveries are driven by analyses of massively distributed bulk data. This has led to the proliferation of high-end mass storage systems, storage area clusters and data centers as storage fabric elements for the Grid, offering excellent price/performance ratio and good storage speeds, but increasing maintenance and administrative costs. A promising alternative then, is to harness the collective storage potential of individual workstations much as we harness the idle CPU cycles due to the affordable economics in aggregating commodity storage and low usage to available space ratio. However, such aggregated commodity storage is prone to volatility, machine failures, performance concerns and trust issues. In this paper, we address several of the aforementioned issues and present our design on the construction of scalable aggregated commodity storage through scavenging; providing availability through aggressive replication; revering user autonomy and his authority ...