Abstract | ||
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We introduce TEE-PERF, an architecture-and platform-independent performance measurement tool for trusted execution environments (TEEs). More specifically, TEE-PERF supports method-level profiling for unmodified multithreaded applications, without relying on any architecture-specific hardware features (e.g. Intel VTune Amplifier), or without requiring platform-dependent kernel features (e.g. Linux perf). Moreover, TEE-PERF provides accurate profiling measurements since it traces the entire process execution without employing instruction pointer sampling. Thus, TEE-PERF does not suffer from sampling frequency bias, which can occur with threads scheduled to align to the sampling frequency. We have implemented TEE-P ERF with an easy to use interface, and integrated it with Flame Graphs to visualize the performance bottlenecks. We have evaluated TEE-PERF based on the Phoenix multithreaded benchmark suite and real-world applications (RocksDB, SPDK, etc.), and compared it with Linux perf. Our experimental evaluation shows that TEE-PERF incurs low profiling overheads, while providing accurate profile measurements to identify and optimize the application bottlenecks in the context of TEEs. TEE-PERF is publicly available. |
Year | DOI | Venue |
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2019 | 10.1109/DSN.2019.00050 | 2019 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) |
Keywords | DocType | ISSN |
TEE,profiler,SGX,tool | Conference | 1530-0889 |
ISBN | Citations | PageRank |
978-1-7281-0058-6 | 2 | 0.37 |
References | Authors | |
11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Maurice Bailleu | 1 | 2 | 0.37 |
Donald Dragoti | 2 | 3 | 0.72 |
Pramod Bhatotia | 3 | 414 | 28.94 |
Christof Fetzer | 4 | 2429 | 172.89 |