Tailbench: a benchmark suite and evaluation methodology for latency-critical applications
Latency-critical applications, common in datacenters, must achieve small and predictable tail (e.g., 95th or 99th percentile) latencies. Their strict performance requirements limit utilization and efficiency in current datacenters. These problems have sparked research in hardware and software techni...
Main Authors: | Kasture, Harshad (Contributor), Sanchez, Daniel (Contributor) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2017-12-19T18:02:01Z.
|
Subjects: | |
Online Access: | Get fulltext |
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