Continuous integration enables the development of microservices-based applications using
container virtualization technology. Container orchestration systems such as Kubernetes …

Serverless computing is growing in popularity by virtue of its lightweight and simplicity of
management. It achieves these merits by reducing the granularity of the computing unit to …

Function as a Service (FaaS) has been gaining popularity as a way to deploy computations
to serverless backends in the cloud. This paradigm shifts the complexity of allocating and …

The development of cloud infrastructures inspires the emergence of cloud-native computing.
As the most promising architecture for deploying microservices, serverless computing has …

Serverless computing is an excellent fit for big data processing because it can scale quickly
and cheaply to thousands of parallel functions. Existing serverless platforms isolate …

Serverless computing promises auto-scalability and cost-efficiency (in" pay-as-you-go"
manner) for high-productive software development. Because of its virtue, serverless …

Serverless computing, an emerging computing model, relies on" warming up" functions prior
to its anticipated execution for faster and cost-effective service to users. Unfortunately …

Function-as-a-Service (FaaS) is one of the most promising directions for the future of cloud
services, and serverless functions have immediately become a new middleware for building …

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 …

Function-as-a-Service (FaaS) and serverless applications have proliferated significantly in
recent years because of their high scalability, ease of resource management, and pay-as …