返回
Serverless Computing for Next-generation Application Development
DOI:10.1016/j.future.2024.107573.png)
摘要
En 中文
Serverless computing is a cloud computing model that abstracts server management, allowing developers to focus solely on writing code without concerns about the underlying infrastructure. This paradigm shift is transforming application development by reducing time to market, lowering costs, and enhancing scalability. In serverless computing, functions are event-driven and automatically scale in response to events such as data changes or user requests. Despite its advantages, serverless computing presents several research challenges, including managing state for ephemeral functions, mitigating cold start delays, optimizing function composition, debugging, efficient auto-scaling, resource management, and ensuring security and compliance. This special issue focused on addressing these challenges by promoting research on innovative solutions and exploring the potential of serverless computing in new application domains.
Keyword:
Serverless
Function-as-a-Service
FaaS
Edge Computing
Resource Management
Scheduling
期刊
F
IF:
6.1
论文数:
6.9K
被引数:
2.3W
机构
引用论文
GeoPM-DMEIRL: A deep inverse reinforcement learning security trajectory generation framework with serverless computingGeopm-dmeirl: 基于无服务器计算的深度逆强化学习安全轨迹生成框架
Microservices and serverless functions-lifecycle, performance, and resource utilisation of edge based real-time IoT analytics微服务和无服务器功能-基于边缘的实时IoT分析的生命周期、性能和资源利用率
A scalable modified deep reinforcement learning algorithm for serverless IoT microservice composition infrastructure in fog layer雾层无服务器物联网微服务组合基础设施的可扩展改进深度强化学习算法
Embedding automated function performance benchmarking, profiling and resource usage categorization in function as a service DevOps pipelines在function as a service DevOps管道中嵌入自动功能性能基准测试、分析和资源使用情况分类

