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Published byGabriel Stewart Modified over 9 years ago
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Report : Zhen Ming Wu 2008 IEEE 9th Grid Computing Conference
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Introduction Virtual Distributed Storage System Architecture Metadata Storage machine ISCSI server Design Performance controller Evaluation Read and write performance Performance control Conclusion
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Strong demand for disk storage Abundant yet idle resources on desktop Machines Various performance requirements for Storage Service Call Storage@desk
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Correctly service clients’ requests. Appears as a virtual volume stores three types of metadata about the system
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Only Storage machine According to SAN Architecture keeping the database updated
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act as the interface point responsible for maintaining enforcing access-control security policies replication strategies : RAID 1
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Bandwidth control with the help of a feedback controller dynamically throttles K : Time interval y(k) : sensor records the bandwidth r : reference bandwidth
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e(k) = r – y(k) : control input actuator will enforces a delay function : (u(k)) But a smaller error e(k+1) = r – y(k+1)
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Proportional controller : e(k) control gain : Kp integral controller : Ki control output at the time : u (k −1)
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Storage@desk ISCSI server install Windows Server 2003 and MySQL database Storage machine install Fedora 7 and kernel 2.6.23 Intel Xeon 8x CPUs at 2.33 GHz 16 GB RAM 250 GB SATA hard drive Windows Server 2003 7 using kernel 2.6.23
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Clients Windows XP P4 CPU at 2.4 GHz 512 MB RAM 100 Mb/s fast network Create a NTFS file system on a virtual volume of 50 GB Compare the performance of Storage@desk and Windows CIFS
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Test Read and write performance from 1MB to 2GB
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Client sequentially writes a 20 GB file Client sequentially reads a 20 GB file Two client reads and writes to random locations in a 2 GB file Total runtime is 1,800 seconds Divided into three regions of 600 seconds Time interval of ten seconds record writes reads
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Utilizes distributed machines to create an extremely large storage pool Storage@desk to provide predictable storage services feedback control can automatically throttle
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Thanks for your attention
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