Benchmarking I/O with Oracle ORION (docs.oracle.com/cd/E11882_01/server.112/e41573/iodesign.h...) is an important part of planning, baselining, and performance-tuning Oracle environments. I've previously provided ORION results for the hi1.4xlarge SSD-backed instance class (web.archive.org/web/20130204020720/http://bommaritollc.co...), and based on some recent work, I wanted to provide an update for the newer hs1.8xlarge instance class (aws.amazon.com/about-aws/whats-new/2012/12/21/announcing-...). Below you'll find hs1.8xlarge Oracle ORION benchmark results with the following configuration: Vanilla RHEL 6.4 (ami-a25415cb) No blkdev, ioctl, or sysctl tuning All 24 attached drives in orion.lun No ephemeral warmup for hs1.8xlarge CONCAT VLUN, no striping -simulate ORION Run #1, hs1.8xlarge: -run oltp -write 20 Maximum Small IOPS=16211 @ Small=336 and Large=0 Minimum Small Latency=2.71 @ Small=24 and Large=0 ORION Run #2, hs1.8xlarge: -run dss Maximum Large MBPS=2875.10 @ Small=0 and Large=336 In summary, our tests imply that: For 80% read, 20% write OLTP workloads, an hs1.8xlarge is capable of sustaining 16K IOPS per second with 14 (336/24 devices) concurrent small (8K) operations per device. For 80% read, 20% write OLTP workloads, an hs1.8xlarge can provide sub-5ms operation latencies for single operations per device. For read-only DSS/data warehouse workloads, an hs1.8xlarge can push approximately 2.8GB/sec at 14 (336/24) concurrent large (1MB) operations per device. For application architectures where high-availability or performance can compensate for the durability of ephemeral storage, hs1.8xlarge instances provide incredibly compelling performance on an on-demand or reserved basis.
AWS EC2 hs1.8xlarge Oracle ORION benchmark results
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aws benchmark cloud consulting ec2 hi1-4xlarge hs1-8xlarge infrastructure io oracle orion programming research
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