Abstract
Adding new hardware features to a cloud computing server requires testing both the functionality and the performance of the new hardware mechanisms. However, commonly used cloud computing server workloads are not well-represented by the SPEC integer and floating-point benchmark and Parsec suites typically used by the computer architecture community. Existing cloud benchmark suites for scale-out or scale-up computing are not representative of the most common cloud usage, and are very difficult to run on a cycle-accurate simulator that can accurately model new hardware, like gem5. In this paper, we present PALMScloud, a suite of cloud computing benchmarks for performance evaluation of cloud servers, that is ready to run on the gem5 cycle-accurate simulator. We conduct a behavior characterization and analysis of the benchmarks. We hope that these cloud benchmarks, ready to run on a dual-machine gem5 simulator or on real machines, can be useful to other researchers interested in improving hardware micro-architecture and cloud server performance.
Original language | English (US) |
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Article number | 7530858 |
Pages (from-to) | 14-17 |
Number of pages | 4 |
Journal | IEEE Computer Architecture Letters |
Volume | 16 |
Issue number | 1 |
DOIs | |
State | Published - Jan 1 2017 |
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
Keywords
- Cloud Computing
- behavior characterization
- benchmarks
- gem5
- performance evaluation
- simulation