A distributed placement service for graph-structured and tree-structured data

Abstract

Effective data placement strategies can enhance the performance of data-intensive applications implemented on high end computing clusters. Such strategies can have a significant impact in localizing the computation, in minimizing synchronization (communication) costs, in enhancing reliability (via strategic replication policies), and in ensuring a balanced workload or enhancing the available bandwidth from massive storage devices (e.g. disk arrays).