Abstract | ||
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Due to its ability to provide requested resources on demand, the use of cloud computing for data-intensive computing is expected to skyrocket in the coming years. The present IaaS cloud infrastructure is designed such that the compute cloud and the storage cloud are separate components. However, the design has one major problem, namely a trade-off has to be made between the network cost and storage performance. To cope with these problems, we are proposing high performance file system service in compute cloud that transparently utilizes file access locality on dynamic configuration of cloud computing infrastructure. We evaluated the system using micro benchmarks, MapReduce applications, and MPI-IO applications. Our system shows the scalable file I/O performance. |
Year | DOI | Venue |
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2011 | 10.1109/IPDPS.2011.255 | IPDPS Workshops |
Keywords | Field | DocType |
o performance,data-intensive computing,storage cloud,compute clouds,storage performance,cloud computing infrastructure,cloud computing,high performance file system,present iaas cloud infrastructure,gfarm file system,utilizes file access locality,mpi-io application,data intensive computing,benchmark testing,availability,computer architecture,message passing,servers | File system,Data-intensive computing,Computer science,Server,Utility computing,Cloud testing,Operating system,Benchmark (computing),Distributed computing,Cloud computing,Scalability | Conference |
Citations | PageRank | References |
6 | 0.87 | 5 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kenji Kobayashi | 1 | 6 | 1.88 |
Shunsuke Mikami | 2 | 21 | 1.87 |
Hiroki Kimura | 3 | 6 | 1.54 |
Osamu Tatebe | 4 | 309 | 42.94 |