https://dl.acm.org/doi/proceedings/10.1145/3552326
pdf: https://web.eecs.umich.edu/~ryanph/paper/vprof-eurosys23.pdf repo: https://github.com/wenglingmei/vprofAE
All measurements were done on a desktop computer with a 6-core (12 hyper threads) Intel 2.60 GHz Core i5 CPU and 48 GB DRAM, running Ubuntu- 20.04 with Linux kernel 5.11.0
- [X] Artifacts available
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3567502
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pdf: https://inria.hal.science/hal-04109096/document
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587459
url: https://github.com/whalepark/pocket.git
dead or private…
On Chameleon
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587435
url: https://github.com/tinysystems/easeIO/commit/1136f0c6c051516f77291383a93d4e6e7ca03ce2
empty zenodo: https://zenodo.org/records/7735158#.ZBEOWXbMK3A
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ICE: Collaborating Memory and Process Management for User Experience on Resource-limited Mobile Devices
close access
pdf: http://cps.kaist.ac.kr/papers/jeong-aitia.pdf
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close access
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587442
url: https://github.com/tcse-iscas/Mocket
zenodo: https://zenodo.org/records/7654817
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pdf: https://arxiv.org/pdf/2202.02365.pdf
url: https://github.com/marius-team/marius
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pdf: https://web.cs.ucla.edu/~harryxu/papers/morphing-eurosys23.pdf
All our experiments were run on a Google Cloud n2-highcpu-32 instance, equipped with a 2.8GHz Intel Cas- cade Lake processor with 32 logical cores and 32GB of RAM. Across all experiments, we measured the end-to-end exe- cution time, which includes input pattern transformation, mining computation, as well as result transformation
link the repo was **REMOVED**
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3567491
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pdf: https://arxiv.org/pdf/2210.12415v2.pdf
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pdf: https://arxiv.org/pdf/2111.01108.pdf
url: https://github.com/ahmedcs/REFL
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pdf: https://yidingwang.xyz/public/files/tabi_eurosys23.pdf
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pdf: https://jeongseob.github.io/papers/jeong_eurosys23.pdf
url: https://github.com/csl-ajou/DeepPlan
To evaluate DL inference performance, we use a p3.8xlarge instance in AWS which has four NVIDIA V100 (16GB) GPUs with NVSwitch.
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pdf: https://www.pusnow.com/publication/dilos-eurosys23.pdf
url: https://github.com/ANLAB-KAIST/dilos
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close access
pdf: https://web.njit.edu/~dingxn/papers/gemini.pdf
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587441
url: https://github.com/haraldng/omnipaxos-artifacts
zenodo: https://zenodo.org/records/7737776
Hardware dependencies. Our evaluation was per- formed on Google Cloud Compute using nine VM instances of e2-standard-8, each with 8 vCPUs, 32 GB memory, and 32GB boot disk size
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587443
url: https://github.com/cfs-for-review/CFS-for-review
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OLPart: Online Learning based Resource Partitioning for Colocating Multiple Latency-Critical Jobs on Commodity Computers
pdf: https://zenodo.org/record/7726928/files/OLPart_Camera_Ready.pdf
url: https://github.com/crbnk/OpenOLPart
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pdf: https://dspace.mit.edu/bitstream/handle/1721.1/150837/3552326.3567496.pdf?sequence=1&isAllowed=y
Setup. Unless otherwise noted, we run our experiments using a client VM, and a cluster of up to 48 worker VMs. The client VM is an Azure Standard E8asv4 VMs with 8 vCPUs (AMD EPYC 7452) and 64GiB of RAM, running Ubuntu 18.04. Each function worker runs on an Azure Standard D4sv3 with 4 vCPUs (Intel Xeon E5-2673) and 16 GiB of RAM, running Ubuntu Linux v20.04
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pdf: https://arxiv.org/pdf/2105.14845.pdf FROM 2021 ???
url: https://github.com/MBtech/rethinking-serverless
The code to enable anyone to create EC2 infrastructure in AWS, setup OpenFaaS and run a benchmark to collect performance data is not yet part of this repository.
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3567503
url: https://gitlab.mpi-sws.org/groundhog/groundhog/-/tree/main?ref_type=heads
detailed instructions: https://gitlab.mpi-sws.org/groundhog/instructions
2 commits in the repo
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- [X] repo with data (but self-hosted): https://groundhog.mpi-sws.org/downloads/DATA-EUROSYS23.tgz
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didnt find pdf
pdf: https://dprg.cs.uiuc.edu/data/files/2023/eurosys23-fall-final-CSI.pdf
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3567484
url: https://github.com/THUBear-wjy/LogGrep/tree/master
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587452
url: https://github.com/systems-nuts/FragVisor/
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didnt find pdf
url: https://github.com/ucsrl/r2c-benchmarking
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3567483
url: https://github.com/bakhi/GPUReplay
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- [ ] conda
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587455
url: https://github.com/resilientdb/resilientdb
We use the Oracle Cloud Infrastructure (OCI) and deploy up to 97 replicas on VM.Standard.E3.Flex machines (16 cores and 16 GiB RAM) with 10 GiB NICs.
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pdf: https://gramoli.github.io/pubs/Eurosys23-Diablo.pdf
url: https://diablobench.github.io/fresh-install
On AWS
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587446
url: https://github.com/ziyueqiu/FrozenHot
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url: https://github.com/nephele-vm/experiments
pdf: http://nets.cs.pub.ro/~costin/files/nephele.pdf
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pdf: https://dspace.mit.edu/bitstream/handle/1721.1/150839/3552326.3587458.pdf?sequence=1&isAllowed=y
url: https://github.com/unikernelLinux/ukl
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pdf: https://baiwei0427.github.io/papers/flexpass-eurosys2023.pdf
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pdf: https://ease-lab.github.io/ease_website/pubs/SABA_EUROSYS23.pdf
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didnt find pdf
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pdf: https://naizhengtan.github.io/doc/papers/viper23zhang.pdf
All databases are configured to be SI. TiDB runs on three Google Cloud machines
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didnt find pdf
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pdf: https://www.cs.cornell.edu/~matthelb/papers/morty-eurosys23.pdf
url: https://github.com/matthelb/morty/ dead or private
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3567495
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pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3567498
url: https://github.com/utsaslab/chipmunk
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- [ ] repo with data
- [ ] binder notebook
- [ ] docker images on dockerhub/somewhere
- [ ] open/cleaned logs
- [ ] google fucking docs
- [ ] conda
- [X] apt
- [X] pip
- [ ] VM binaries
- [X] VM build script
- [ ] curl/git without check
- [ ] list of packages no version
- [ ] list of packages with loose versions
- [ ] list of packages with strict versions
- [ ] from binary image ?
- [ ] docker/vm
- [ ] apt
- [ ] pip
- [ ] curl/git without check
- [ ] cuda image
- [ ] tagged image
pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587447
url: https://github.com/task3r/mumak
zenodo: https://zenodo.org/records/7737117
- [X] Artifacts available
- [X] Artifacts evaluated and functional
- [ ] Results Reproduced
- [ ] Others
- [X] Artefact section in paper
- [X] Url of repo
- [ ] commit used for the expes
- [ ] branch used for the expes
- [X] frozen version of code (zenodo, swh)
- [X] provide a minimal working example
- [X] estimation of human and compute time of each figure/expe
- [ ] repo with data
- [ ] binder notebook
- [ ] docker images on dockerhub/somewhere
- [ ] open/cleaned logs
- [ ] google fucking docs
- [ ] conda
- [ ] apt
- [ ] pip
- [ ] VM binaries
- [ ] VM build script
- [ ] curl/git without check
- [ ] list of packages no version
- [ ] list of packages with loose versions
- [ ] list of packages with strict versions
- [ ] from binary image ?
- [-] docker/vm
- [X] apt
- [ ] pip
- [X] curl/git without check
- [ ] cuda image
- [X] tagged image
pdf: https://dl.acm.org/doi/pdf/10.1145/3552326.3587456
- [X] Artifacts available
- [X] Artifacts evaluated and functional
- [ ] Results Reproduced
- [ ] Others
- [X] Artefact section in paper
- [X] Url of repo
- [ ] commit used for the expes
- [ ] branch used for the expes
- [ ] frozen version of code (zenodo, swh)
- [ ] provide a minimal working example
- [ ] estimation of human and compute time of each figure/expe
- [ ] repo with data
- [ ] binder notebook
- [ ] docker images on dockerhub/somewhere
- [ ] open/cleaned logs
- [ ] google fucking docs
- [X] propritiry sw
- [ ] conda
- [ ] apt
- [ ] pip
- [ ] VM binaries
- [ ] VM build script
- [ ] curl/git without check
- [ ] list of packages no version
- [ ] list of packages with loose versions
- [ ] list of packages with strict versions
- [ ] from binary image ?
- [ ] docker/vm
- [ ] apt
- [ ] pip
- [ ] curl/git without check
- [ ] cuda image
- [ ] tagged image