The serverless computing model has been on the rise in recent years due to a lower barrier
to entry and elastic scalability. However, our experimental evidence suggests that multiple …

Serverless computing is increasingly used for data-processing applications in both science
and business domains. At the core of serverless data-processing systems is the scheduler …

With the migration of enterprise applications to microservices and containers, cloud service
providers, starting with Amazon in 2014, announced a new computational model called …

The newest cloud computing approach, serverless computing, makes it easier to design
applications. Developers may avoid managing the servers by embracing and utilizing the …

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 …

Aggregated HPC resources have rigid allocation systems and programming models which
struggle to adapt to diverse and changing workloads. Consequently, HPC systems fail to …

This work highlights the significance of I/O bottlenecks that data-intensive HPC workflows
face in serverless environments-an issue that has been largely overlooked by prior works …

Function-as-a-Service (FaaS) is a promising cloud computing model known for its scalability
and elasticity. In various application domains, FaaS workflows have been widely adopted to …

Serverless computing has grown rapidly as a new cloud computing paradigm that promises
ease-of-management, cost-efficiency, and auto-scaling by shipping functions via self …

Building cloud-native applications based on public “Function as a Service”(FaaS) platforms
has become an attractive way to improve business roll-out speed and elasticity, as well as …