Serverless computing: a survey of opportunities, challenges, and applications

H Shafiei, A Khonsari, P Mousavi - ACM Computing Surveys, 2022 - dl.acm.org
The emerging serverless computing paradigm has attracted attention from both academia
and industry. This paradigm brings benefits such as less operational complexity, a pay-as …

Rise of the planet of serverless computing: A systematic review

J Wen, Z Chen, X Jin, X Liu - ACM Transactions on Software …, 2023 - dl.acm.org
Serverless computing is an emerging cloud computing paradigm, being adopted to develop
a wide range of software applications. It allows developers to focus on the application logic …

Cold start latency in serverless computing: A systematic review, taxonomy, and future directions

M Golec, GK Walia, M Kumar, F Cuadrado… - ACM Computing …, 2024 - dl.acm.org
Recently, academics and the corporate sector have paid attention to serverless computing,
which enables dynamic scalability and an economic model. In serverless computing, users …

A holistic view on resource management in serverless computing environments: Taxonomy and future directions

A Mampage, S Karunasekera, R Buyya - ACM Computing Surveys …, 2022 - dl.acm.org
Serverless computing has emerged as an attractive deployment option for cloud
applications in recent times. The unique features of this computing model include rapid auto …

Aquatope: Qos-and-uncertainty-aware resource management for multi-stage serverless workflows

Z Zhou, Y Zhang, C Delimitrou - Proceedings of the 28th ACM …, 2022 - dl.acm.org
Multi-stage serverless applications, ie, workflows with many computation and I/O stages, are
becoming increasingly representative of FaaS platforms. Despite their advantages in terms …

Survey on serverless computing

HB Hassan, SA Barakat, QI Sarhan - Journal of Cloud Computing, 2021 - Springer
Serverless computing has gained importance over the last decade as an exciting new field,
owing to its large influence in reducing costs, decreasing latency, improving scalability, and …

A mean-field game approach to cloud resource management with function approximation

W Mao, H Qiu, C Wang, H Franke… - Advances in …, 2022 - proceedings.neurips.cc
Reinforcement learning (RL) has gained increasing popularity for resource management in
cloud services such as serverless computing. As self-interested users compete for shared …

Faasrank: Learning to schedule functions in serverless platforms

H Yu, AA Irissappane, H Wang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Current serverless Function-as-a-Service (FaaS) platforms generally use simple, classic
scheduling algorithms for distributing function invocations while ignoring FaaS …

Locality-aware load-balancing for serverless clusters

A Fuerst, P Sharma - Proceedings of the 31st International Symposium …, 2022 - dl.acm.org
While serverless computing provides more convenient abstractions for developing and
deploying applications, the Function-as-a-Service (FaaS) programming model presents new …

Owl: Performance-aware scheduling for resource-efficient function-as-a-service cloud

H Tian, S Li, A Wang, W Wang, T Wu… - Proceedings of the 13th …, 2022 - dl.acm.org
This work documents our experience of improving the scheduler in Alibaba Function
Compute, a public FaaS platform. It commences with our observation that memory and CPU …