Machine Learning Operations (MLOps) is an approach to managing the entire lifecycle of a
machine learning model. It has evolved over the last years and has started attracting many …

The auto-scaling feature is fundamental to serverless computing, and it automatically allows
applications to scale as needed. Hence, this allows applications to be configured to adapt to …

Serverless computing, especially when deployed at the edge of the network, is seen as an
enabling technology for the future development of more complex Internet of Things systems …

Serverless computing has seen rapid adoption because of its instant scalability, flexible
billing model, and economies of scale. In serverless, developers structure their applications …

WebAssembly is a new binary instruction format and runtime environment capable of
executing both client side and server side workloads. With its numerous advantages …

Nowadays, the majority of Internet traffic is multimedia content. Video streaming services are
in high demand by end users and use HTTP Adaptive Streaming (HAS) as transmission …

The serverless computing model has evolved as one of the key solutions in the cloud for fast
autoscaling and capacity planning. In edge computing environments, however, the …

Serverless computing-a stateless cloud computing model, is an emerging solution that has
shown significant benefits to efficiency and cost for event-driven applications in the cloud …

Serverless computing along with Function‐as‐a‐Service (FaaS) is forming a new computing
paradigm that is anticipated to found the next generation of cloud systems. The popularity of …

Serverless computing has emerged as a powerful deployment model based on the Function‐
as‐a‐Service (FaaS) paradigm, where applications are orchestrated through a set of …