Understanding operational 5G: A first measurement study on its coverage, performance and energy consumption

D Xu, A Zhou, X Zhang, G Wang, X Liu, C An… - Proceedings of the …, 2020 - dl.acm.org
5G, as a monumental shift in cellular communication technology, holds tremendous potential
for spurring innovations across many vertical industries, with its promised multi-Gbps speed …

{CherryPick}: Adaptively unearthing the best cloud configurations for big data analytics

O Alipourfard, HH Liu, J Chen… - … USENIX Symposium on …, 2017 - usenix.org
Picking the right cloud configuration for recurring big data analytics jobs running in clouds is
hard, because there can be tens of possible VM instance types and even more cluster sizes …

Canopy: An end-to-end performance tracing and analysis system

J Kaldor, J Mace, M Bejda, E Gao… - Proceedings of the 26th …, 2017 - dl.acm.org
This paper presents Canopy, Facebook's end-to-end performance tracing infrastructure.
Canopy records causally related performance data across the end-to-end execution path of …

Root causing flaky tests in a large-scale industrial setting

W Lam, P Godefroid, S Nath, A Santhiar… - Proceedings of the 28th …, 2019 - dl.acm.org
In today's agile world, developers often rely on continuous integration pipelines to help build
and validate their changes by executing tests in an efficient manner. One of the significant …

COSE: Configuring serverless functions using statistical learning

N Akhtar, A Raza, V Ishakian… - IEEE INFOCOM 2020 …, 2020 - ieeexplore.ieee.org
Serverless computing has emerged as a new compelling paradigm for the deployment of
applications and services. It represents an evolution of cloud computing with a simplified …

Load balancing across microservices

Y Niu, F Liu, Z Li - IEEE INFOCOM 2018-IEEE Conference on …, 2018 - ieeexplore.ieee.org
With the advent of cloud container technology, enterprises develop applications through
microservices, breaking monolithic software into a suite of small services whose instances …

Network-centric distributed tracing with deepflow: Troubleshooting your microservices in zero code

J Shen, H Zhang, Y Xiang, X Shi, X Li, Y Shen… - Proceedings of the …, 2023 - dl.acm.org
Microservices are becoming more complicated, posing new challenges for traditional
performance monitoring solutions. On the one hand, the rapid evolution of microservices …

Load balancing for interdependent IoT microservices

R Yu, VT Kilari, G Xue, D Yang - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
Advances in virtualization technologies and edge computing have inspired a new paradigm
for Internet-of-Things (IoT) application development. By breaking a monolithic application …

Load balancing with traffic isolation in data center networks

T Zhang, Q Zhang, Y Lei, S Zou, J Huang… - Future Generation …, 2022 - Elsevier
The topologies of current data center networks are typically multi-rooted trees (eg leaf–
spine) with rich parallel paths between any pair of hosts. Recent progress has demonstrated …

Ribbon: cost-effective and qos-aware deep learning model inference using a diverse pool of cloud computing instances

B Li, RB Roy, T Patel, V Gadepally, K Gettings… - Proceedings of the …, 2021 - dl.acm.org
Deep learning model inference is a key service in many businesses and scientific discovery
processes. This paper introduces Ribbon, a novel deep learning inference serving system …