A survey of recent advances in edge-computing-powered artificial intelligence of things

Z Chang, S Liu, X Xiong, Z Cai… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Big data analytics for large-scale wireless networks: Challenges and opportunities

HN Dai, RCW Wong, H Wang, Z Zheng… - ACM Computing …, 2019 - dl.acm.org
The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …

{SOCK}: Rapid task provisioning with {Serverless-Optimized} containers

E Oakes, L Yang, D Zhou, K Houck, T Harter… - 2018 USENIX annual …, 2018 - usenix.org
Serverless computing promises to provide applications with cost savings and extreme
elasticity. Unfortunately, slow application and container initialization can hurt common-case …

{NOVA}: A log-structured file system for hybrid {Volatile/Non-volatile} main memories

J Xu, S Swanson - 14th USENIX Conference on File and Storage …, 2016 - usenix.org
Fast non-volatile memories (NVMs) will soon appear on the processor memory bus
alongside DRAM. The resulting hybrid memory systems will provide software with sub …

Serverless computation with {OpenLambda}

S Hendrickson, S Sturdevant, T Harter… - 8th USENIX workshop …, 2016 - usenix.org
We present OpenLambda, a new, open-source platform for building next-generation web
services and applications in the burgeoningmodel of serverless computation. We describe …

Wisckey: Separating keys from values in ssd-conscious storage

L Lu, TS Pillai, H Gopalakrishnan… - ACM Transactions On …, 2017 - dl.acm.org
We present WiscKey, a persistent LSM-tree-based key-value store with a performance-
oriented data layout that separates keys from values to minimize I/O amplification. The …

Rammer: Enabling holistic deep learning compiler optimizations with {rTasks}

L Ma, Z Xie, Z Yang, J Xue, Y Miao, W Cui… - … USENIX Symposium on …, 2020 - usenix.org
Performing Deep Neural Network (DNN) computation on hardware accelerators efficiently is
challenging. Existing DNN frameworks and compilers often treat the DNN operators in a …

{MatrixKV}: Reducing Write Stalls and Write Amplification in {LSM-tree} Based {KV} Stores with Matrix Container in {NVM}

T Yao, Y Zhang, J Wan, Q Cui, L Tang, H Jiang… - 2020 USENIX Annual …, 2020 - usenix.org
Popular LSM-tree based key-value stores suffer from suboptimal and unpredictable
performance due to write amplification and write stalls that cause application performance to …

Redesigning {LSMs} for Nonvolatile Memory with {NoveLSM}

S Kannan, N Bhat, A Gavrilovska… - 2018 USENIX Annual …, 2018 - usenix.org
We present NoveLSM, a persistent LSM-based key-value storage system designed to
exploit non-volatile memories and deliver low latency and high throughput to applications …

Using Crash Hoare logic for certifying the FSCQ file system

H Chen, D Ziegler, T Chajed, A Chlipala… - Proceedings of the 25th …, 2015 - dl.acm.org
FSCQ is the first file system with a machine-checkable proof (using the Coq proof assistant)
that its implementation meets its specification and whose specification includes crashes …