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 …

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 …

Operating data-intensive applications on edge systems is challenging, due to the extreme
workload and device heterogeneity, as well as the geographic dispersion of compute and …

The Function-as-a-Service (FaaS) model is a great fit for data and event processing in the
Internet of Things (IoT). Sending all data to a cloud-based FaaS platform, however, may …

Function-as-a-Service (FaaS) is an attractive cloud computing model that simplifies
application development and deployment. However, current serverless compute platforms …

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 …

Edge computing as a promising technology provides lower latency, more efficient
transmission, and faster speed of data processing since the edge servers are closer to the …

Abstract The Function‐as‐a‐Service (FaaS) paradigm has a lot of potential as a computing
model for fog environments comprising both cloud and edge nodes, as compute requests …

The serverless technology, introduced for data center operation, represents an attractive
technology for latency-sensitive applications operated at the edge, enabling a resource …

Serverless computing has rapidly grown following the launch of Amazon's Lambda platform.
Function‐as‐a‐Service (FaaS) a key enabler of serverless computing allows an application …