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Serverless computing shows good promise for efficiency and ease-of-use. Yet, there are only a few, scattered and sometimes conflicting reports on questions such as 'Why do so many companies adopt serverless?', 'When are serverless…

Serverless computing (also known as functions as a service) is a new cloud computing abstraction that makes it easier to write robust, large-scale web services. In serverless computing, programmers write what are called serverless…

编程语言 · 计算机科学 2021-03-12 Abhinav Jangda , Donald Pinckney , Yuriy Brun , Arjun Guha

Serverless computing is transforming cloud application development, but the performance-cost trade-offs of control plane designs remain poorly understood due to a lack of open, cross-platform benchmarks and detailed system analyses. In this…

分布式、并行与集群计算 · 计算机科学 2025-09-04 Leonid Kondrashov , Boxi Zhou , Hancheng Wang , Dmitrii Ustiugov

Adopting serverless computing to edge networks benefits end-users from the pay-as-you-use billing model and flexible scaling of applications. This paradigm extends the boundaries of edge computing and remarkably improves the quality of…

网络与互联网体系结构 · 计算机科学 2024-08-15 Peiyuan Guan , Chen Chen , Ziru Chen , Lin X. Cai , Xing Hao , Amir Taherkordi

Serverless computing has gained popularity in edge computing due to its flexible features, including the pay-per-use pricing model, auto-scaling capabilities, and multi-tenancy support. Complex Serverless-based applications typically rely…

分布式、并行与集群计算 · 计算机科学 2023-09-01 Ke Luo , Tao Ouyang , Zhi Zhou , Xu Chen

5G and beyond support the deployment of vertical applications, which is particularly appealing in combination with network slicing and edge computing to create a logically isolated environment for executing customer services. Even if…

网络与互联网体系结构 · 计算机科学 2024-05-08 Claudio Cicconetti , Raffaele Bruno , Andrea Passarella

Serverless computing offers an event driven pay-as-you-go framework for application development. A key selling point is the concept of no back-end server management, allowing developers to focus on application functionality. This is…

分布式、并行与集群计算 · 计算机科学 2020-12-11 Daniel Kelly , Frank G Glavin , Enda Barrett

Cloud computing has emerged as a popular computing paradigm in recent years. However, today's cloud computing architectures often lack support for computer forensic investigations. Analyzing various logs (e.g., process logs, network logs)…

密码学与安全 · 计算机科学 2013-02-27 Shams Zawoad , Amit Kumar Dutta , Ragib Hasan

Cloud Data Servers is the novel approach for providing secure service to e-business .Millions of users are surfing the Cloud for various purposes, therefore they need highly safe and persistent services. Usually hackers target particular…

分布式、并行与集群计算 · 计算机科学 2010-07-15 D. Kesavaraja , R. Balasubramanian , D. Sasireka

Microservice architecture is the common choice for developing cloud applications these days since each individual microservice can be independently modified, replaced, and scaled. As a result, application development and operating cloud…

分布式、并行与集群计算 · 计算机科学 2022-10-11 Mohak Chadha , Victor Pacyna , Anshul Jindal , Jianfeng Gu , Michael Gerndt

Function-as-a-Service (FaaS) is a recent and already very popular paradigm in cloud computing. The function provider need only specify the function to be run, usually in a high-level language like JavaScript, and the service provider…

密码学与安全 · 计算机科学 2020-05-25 Fritz Alder , N. Asokan , Arseny Kurnikov , Andrew Paverd , Michael Steiner

Serverless computing, also known as Functions-as-a-Service, is a recent paradigm aimed at simplifying the programming of cloud applications. The idea is that developers design applications in terms of functions, which are then deployed on a…

Serverless computing has made it easier than ever to deploy applications over scalable cloud resources, all the while driving higher utilization for cloud providers. While this technique has worked well for easily divisible resources like…

分布式、并行与集群计算 · 计算机科学 2022-12-19 Nathan Pemberton , Anton Zabreyko , Zhoujie Ding , Randy Katz , Joseph Gonzalez

Multi-stage serverless applications, i.e., workflows with many computation and I/O stages, are becoming increasingly representative of FaaS platforms. Despite their advantages in terms of fine-grained scalability and modular development,…

分布式、并行与集群计算 · 计算机科学 2022-12-29 Zhuangzhuang Zhou , Yanqi Zhang , Christina Delimitrou

Function-as-a-Service (FaaS) is one form of the serverless cloud computing paradigm and is defined through FaaS platforms (e.g., AWS Lambda) executing event-triggered code snippets (i.e., functions). Many studies that empirically evaluate…

性能 · 计算机科学 2020-07-21 Joel Scheuner , Philipp Leitner

Function-as-a-Service (FaaS) is a popular cloud computing model in which applications are implemented as work flows of multiple independent functions. While cloud providers usually offer composition services for such workflows, they do not…

分布式、并行与集群计算 · 计算机科学 2025-10-24 Natalie Carl , Trever Schirmer , Tobias Pfandzelter , David Bermbach

Serverless is an emerging cloud computing paradigm that facilitates developers to focus solely on the application logic rather than provisioning and managing the underlying infrastructure. The inherent characteristics such as scalability,…

软件工程 · 计算机科学 2023-11-23 Muhammad Hamza , Muhammad Azeem Akbar , Kari Smolander

Serverless computing that runs functions with auto-scaling is a popular task execution pattern in the cloud-native era. By connecting serverless functions into workflows, tenants can achieve complex functionality. Prior researches adopt the…

分布式、并行与集群计算 · 计算机科学 2023-05-01 Zijun Li , Chuhao Xu , Quan Chen , Jieru Zhao , Chen Chen , Minyi Guo

Serverless computing has grown in popularity in recent years, with an increasing number of applications being built on Functions-as-a-Service (FaaS) platforms. By default, FaaS platforms support retry-based fault tolerance, but this is…

分布式、并行与集群计算 · 计算机科学 2020-03-16 Vikram Sreekanti , Chenggang Wu , Saurav Chhatrapati , Joseph E. Gonzalez , Joseph M. Hellerstein , Jose M. Faleiro

Existing disaggregated databases separate execution and storage layers, enabling independent and elastic scaling of resources. In most cases, this design makes transaction concurrency control (CC) a critical bottleneck, which demands…

数据库 · 计算机科学 2026-03-17 Weixing Zhou , Yanfeng Zhang , Xinji Zhou , Zhiyou Wang , Zeshun Peng , Yang Ren , Sihao Li , Huanchen Zhang , Guoliang Li , Ge Yu