Comments (7)
@jinengandhi-intel Could you attach a redis-server.manifest.sgx
final manifest file? I wonder what is so special about RHEL/CentOS.
I assume that the difference is in how this final manifest file is generated on Ubuntu vs on RHEL/CentOS.
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@jinengandhi-intel Also could you attach redis-server.manifest.sgx
file in Ubuntu (where it doesn't fail)?
I want to look at two versions of this redis-server.manifest.sgx
file: one in Ubuntu, one in RHEL. Comparing them side by side, we may spot the difference, which will be the root cause of this failure.
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Manifest SGX file for Ubuntu are attached here. For RHEL, I am awaiting the manifest files from my colleague
R.manifest.sgx.txt
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Please find the manifest.sgx files for RHEL attached.
curl.manifest.sgx.txt
R.manifest.sgx.txt
redis-server.manifest.sgx.txt
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RHEL manifest files are ~10MB in size... This feels like way too much for the initial 64MB pre-allocated by Graphene.
@aniket-intelx @jinengandhi-intel Can any of you run the failing workload (e.g., redis-server
) on RHEL under GDB and find the exact place where the out of PAL memory
error happens? I would assume that it happens here: https://github.com/oscarlab/graphene/blob/33a68bc4302891e8c591570942bc39394acefd23/Pal/src/host/Linux-SGX/db_main.c#L683
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@dimakuv
Before the mentioned commit the RHEL manifest files for curl is ~16MB in size and it did worked.
@aniket-intelx will be sharing the rest of the details soon
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We debugged and the problem is in Graphene's pre-allocated internal PAL memory pool of 64MB.
We fail on toml_parse()
:
graphene/Pal/src/host/Linux-SGX/db_main.c
Line 683 in 33a68bc
But we read loader.pal_internal_mem_size
(which increases the internal PAL memory) only after parsing:
graphene/Pal/src/host/Linux-SGX/db_main.c
Line 703 in 33a68bc
So we get a chicken-and-egg problem.
Easy solution: if we detect that the manifest size is greater than some threshold (I recommend 1MB), then we immediately increase internal PAL memory by additional 64MB.
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Related Issues (20)
- Data transmission error with Python gRPC running in graphene HOT 9
- Huge performance drop when running pytorch training with graphene-sgx HOT 26
- Graphene-SGX: Syscalls wakes up early/prematurely on Server Machines HOT 12
- untrusted PAL sent PAL event HOT 10
- BUG() triggered during vfork and clone HOT 15
- With Go program, inside a docker container, bind fails with permission denied error, invalid handle error. HOT 7
- Unable to Sign the graphenized Docker image using gsc sign-image: HOT 5
- RFC: Trusted files metadata sideloading
- [Error:38]Function not implemented. multiprocessing in graphene HOT 7
- How to transmit variables between SGX and untrusted environments HOT 4
- Function not implemented (src/ip.cpp:563) in testing GSC container HOT 2
- [Examples] Python Example Stuck Without Any Error Message HOT 1
- ModuleNotFoundError: No module named 'graphenelibos' HOT 5
- web server use golang, QPS(queries per second) is very low HOT 4
- File Listener Based on INOTIFY Throws Error HOT 1
- Issue with libprotobuf version. HOT 1
- Issue in Cloud Deployment to AKS HOT 3
- Decimal type prone to float rounding error. HOT 1
- pytorch sample config for better performance HOT 2
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