Google Compute Engine offers a high-performance, cost-effective means for running I/O-intensive applications. This report details our experience running large-scale, high- performance sorting jobs on GCE. We run sort applications up to 100 TB in size on clusters of up to 299 VMs, and find that we are able to sort data at or near the hardware capabilities of the locally attached SSDs. In particular, we sort 100 TB on 296 VMs in 915 seconds at a cost of $154.78. We compare this result to our previous sorting experience on Amazon Elastic Compute Cloud and find that Google Compute Engine can deliver similar levels of performance. Although individual EC2 VMs have higher levels of performance than GCE VMs, permitting significantly smaller cluster sizes on EC2, we find that the total dollar cost that the user pays on GCE is 48% less than the cost of running on EC2.
The authors of these documents have submitted their reports to this technical report series for the purpose of non-commercial dissemination of scientific work. The reports are copyrighted by the authors, and their existence in electronic format does not imply that the authors have relinquished any rights. You may copy a report for scholarly, non-commercial purposes, such as research or instruction, provided that you agree to respect the author's copyright. For information concerning the use of this document for other than research or instructional purposes, contact the authors. Other information concerning this technical report series can be obtained from the Computer Science and Engineering Department at the University of California at San Diego, firstname.lastname@example.org.
[ Search ]