SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Interpreting the data: Parallel analysis with Sawzall
Scientific Programming - Dynamic Grids and Worldwide Computing
QEMU, a fast and portable dynamic translator
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Dryad: distributed data-parallel programs from sequential building blocks
Proceedings of the 2nd ACM SIGOPS/EuroSys European Conference on Computer Systems 2007
Pig latin: a not-so-foreign language for data processing
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
SCOPE: easy and efficient parallel processing of massive data sets
Proceedings of the VLDB Endowment
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
Program Ultra-Dispatcher for launching applications in a customization manner on cloud computing
Journal of Network and Computer Applications
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Base platforms for many data-intensive applications start to move onto cloud computing services. These applications inherently requires very large storage space, and append-only distributed file systems have been developed for this purpose. These distributed file systems are capable of running on commodity hardware and highly scalable. Cloud computing service providers only try to reduce management costs, but not concerning about significant up-front investment costs. Additionally, virtual machine technologies, especially Xen that most of cloud computing services use, have low I/O performance. In this paper, we present a cost-effective cloud storage service model, which are built with old PCs but shows good performance. Our experimental evaluation shows 46% better performance in Postmark benchmark.