Software engineering for machine learning: a case study Amershi et al., ICSE’19
Automating chaos experiments in production Basiri et al., ICSE 2019
Fast key-value stores: an idea whose time has come and gone Adya et al., HotOS’19
Nines are not enough: meaningful metrics for clouds
Beyond data and model parallelism for deep neural networks Jia et al., SysML’2019
PyTorch-BigGraph: a large-scale graph embedding system Lerer et al., SysML’19
Data validation for machine learning Breck et al., SysML’19
Continuous integration of machine learning models with ease.ml/ci: towards a rigorous yet practical treatment Renggl ...
A case for lease-based, utilitarian resource management on mobile devices Hu et al., ASPLOS’19
Boosted race trees for low energy classification Tzimpragos et al., ASPLOS’19
CheriABI: enforcing valid pointer provenance and minimizing pointer privilege in the POSIX C run-time environment Da ...
RPCValet: NI-driven tail-aware balancing of µs-scale RPCs Daglis et al., ASPLOS’19
Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., ASP ...
Distributed consensus revised (part II) Howard, PhD thesis
Keeping master green at scale Ananthanarayanan et al., EuroSys’19
Teaching rigorous distributed systems with efficient model checking Michael et al., EuroSys’19
Master of web puppets: abusing web browsers for persistent and stealthy computation Papadopoulus et al., NDSS’19
Don’t trust the locals: investigating the prevalence of persistent client-side cross-site scripting in the wild Stef ...
How bad can it git? Characterizing secret leakage in public GitHub repositories Meli et al., NDSS’19
Ginseng: keeping secrets in registers when you distrust the operating system Yun & Zhong et al., NDSS’19
Establishing software root of trust unconditionally Gligor & Woo, NDSS’19
Calvin: fast distributed transactions for partitioned database systems Thomson et al., SIGMOD’12
Amazon Aurora: on avoiding distributed consensus for I/Os, commits, and membership changes , Verbitski et al., SIGMOD’18
Amazon Aurora: design considerations for high throughput cloud-native relational databases Verbitski et al., SIGMOD’17
Slim: OS kernel support for a low-overhead container overlay network Zhuo et al., NSDI’19