Peng Gu, University of Nebraska-Lincoln, USA
Jun Wang, University of Nebraska-Lincoln, USA
An efficient, accurate and distributed metadataoriented prefetching scheme is critical to the overall performance in large distributed storage systems. In this paper, we present a novel weighted-graph-based prefetching technique, built on successor relationship, to gain performance benefit from prefetching specifically for clustered metadata servers, an arrangement envisioned necessary for petabyte-scale distributed storage systems. Extensive trace-driven simulations show that by adopting our new prefetching algorithm, the hit rate for metadata access on the client site can be increased by up to 13%, while the average response time of metadata operations can be reduced by up to 67%, compared with LRU and an existing state of the art prefetching algorithm.
Citation:
Peng Gu, Yifeng Zhu, Hong Jiang, Jun Wang, "Nexus: A Novel Weighted-Graph-Based Prefetching Algorithm for Metadata Servers in Petabyte-Scale Storage Systems," ccgrid, pp.409-416, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06), 2006