id: 05980990
dt: a
an: 05980990
au: Wang, Yu; Xing, Jing; Xiong, Jin; Meng, Dan
ti: A load-aware data placement policy on cluster file system.
so: Altman, Erik (ed.) et al., Network and parallel computing. 8th IFIP
    international conference, NPC 2011, Changsha, China, October 21‒23,
    2011. Proceedings. Berlin: Springer (ISBN 978-3-642-24402-5/pbk).
    Lecture Notes in Computer Science 6985, 17-31 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: cluster file system; data placement
ci: 
li: doi:10.1007/978-3-642-24403-2_2
ab: Summary: In a large-scale cluster system with many applications running on
    it, cluster-wide I/O access workload disparity and disk saturation on
    only some storage servers have been the severe performance bottleneck
    that deteriorates the system I/O performance. As a result, the system
    response time will increase and the throughput of the system will
    decrease drastically. In this paper, we present a load-aware data
    placement policy that will distribute data across the storage servers
    based on the load of each server and automatically migrate data from
    heavily-loaded servers to lightly-loaded servers. This policy is
    adaptive and self-managing. It operates without any prior knowledge of
    application access workload characteristics or the capabilities of
    storage servers. It can make full use of the aggregate disk bandwidth
    of all storage servers efficiently. Performance evaluation shows that
    our policy will improve the aggregate I/O bandwidth by 10\%-20\%
    compared with random data placement policy especially under mixed
    workloads.
rv: