Magellan Final Report - Office of Science - U.S. Department of Energy

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Magellan Final Report Direct I/O vs Buffered I/O Throughput (MB/sec, log−scale) 1 5 10 50 100 500 Direct I/O Buffered I/O Global Scratch NERSC VM (Local disk) NERSC VM (EBS) I/O Type Figure 9.15: IOR Results: Comparison of Direct vs Buffered I/O on NERSC systems I/O Performance on Different Platforms Throughput (MB/sec) 0 20 40 60 80 100 NERSC VM (Local disk) NERSC VM (EBS) Amazon Small Inst (Local disk) Amazon Small Inst (EBS) Amazon Large Inst (Local disk) Amazon Large Inst (EBS) Amazon CC (EBS) Write Performance Read Performance I/O Type Figure 9.16: IOR Results: I/O Performance on All Platforms 66
Magellan Final Report Write Performance on Different Locations in Amazon EC2 Read Performance on Different Locations in Amazon EC2 Throughput (MB/sec) 0 10 20 30 40 50 60 Small Inst (Local) East Zone West Zone Small Inst (EBS) Large Inst (Local) Large Inst (EBS) (a) Amazon Write Performance CC (EBS) Throughput (MB/sec) 0 20 40 60 80 100 Small Inst (Local) East Zone West Zone Small Inst (EBS) Large Inst (Local) Large Inst (EBS) (b) Amazon Read Performance CC (EBS) Figure 9.17: IOR Results: Comparison of Amazon platforms 9.3.2 IOR Results In this section we report our results from the IOR benchmark. For all tests, a block size of 100G and a transfer size of 2M were used. Buffer Caching Figure 9.15 shows the performance of direct I/O and buffered I/O on different configurations on the Magellan testbed. Buffer caching does not seem to be enabled on Amazon instances. As expected, the global scratch file system at NERSC shows significant performance improvement with buffer caching enabled. High performance file systems such as GPFS are optimized to provide high performance using buffer caching, etc. On the NERSC VMs, there was a very small increase in performance. Thus buffer caching seems to have minimal or no impact on virtualized resources. The remaining results in our evaluation only consider direct I/O. Comparison Across All Platforms Figure 9.16 shows a comparison of I/O performance on all the virtualized cloud environments. The summarized performance results show the impact of network and disk bandwidth and latencies on the I/O performance. The I/O performance on Amazon instances is better than on the VMs at NERSC. These differences could be from the differences in underlying hardware as well as limited performance tuning done on the NERSC virtual machine systems. Note that this performance is significantly lower than what is achievable on NERSC scratch file systems (>2500 MB/s). The local disk on the instance performs better than the EBS volumes on the VMs at NERSC. On Amazon, the I/O performance on the local ephemeral disks on the small instances is better than writes to the EBS volumes over the network. This may be due to the low network bandwidth for small instances. For the extra-large instances, the EBS volumes show better performance than that of the local disks. This may be attributed to the fact that there is higher network bandwidth associated with these instance types, possibly resulting in better I/O operations on the networked EBS volumes. However, the difference is minimal. Clearly, EBS performance is better with Cluster Compute instances than the other two instance types (for EBS volumes), this is likely due to the use of a 10 Gigabit Ethernet network. The read operations show similar trends except for the Cluster Compute instances, which are significantly lower than expected. I/O 67
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The Magellan Report on Cloud Comput
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Executive Summary The goal of Magel
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Key Findings The goal of the Magell
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Magellan Final Report Finding 8. DO
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Magellan Final Report role in addre
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Contents Executive Summary Key Find
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Magellan Final Report 9.7 Discussio
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Chapter 1 Overview Cloud computing
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Magellan Final Report • The Argon
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Chapter 2 Background The term “cl
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Magellan Final Report 2.1.4 Hardwar
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Magellan Final Report Table 3.1: Ke
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Magellan Final Report Little Magell
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Magellan Final Report 3.2 Advanced
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Magellan Final Report One of the ad
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Magellan Final Report commercial cl
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Magellan Final Report Table 12.2: H
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Magellan Final Report Cost per TF t
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Magellan Final Report Productivity.
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Magellan Final Report compute insta
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Chapter 13 Conclusions Cloud comput
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Magellan Final Report Inherently, t
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Bibliography [1] G. Aldering, G. Ad
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Magellan Final Report [30] I. Foste
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Magellan Final Report [67] M. Palan
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Appendix A Publications Selected Pr
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Magellan Final Report Magellan Rese
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Magellan Final Report Selected Mage
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Appendix B Surveys B1
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• Nuclear Physics - Accelarator P
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Allow users to edit responses. What
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Amazon Eucalyptus OpenStack Other:
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Please list any publications/report
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Hadoop Streaming Hadoop Native Prog
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