The edge–cloud continuum combines heterogeneous resources, which are complex to
manage. Serverless edge computing is a suitable candidate to manage the continuum by …

Despite significant advances in data management systems in recent decades, the
processing of big data at scale remains very challenging. While cloud computing has been …

Function-as-a-Service is a popular cloud programming model that supports developers by
abstracting away most operational concerns with automatic deployment and scaling of …

With the slowing of Moore's law and decline of Dennard scaling, computing systems
increasingly rely on specialized hardware accelerators in addition to general-purpose …

Function-as-a-Service (FaaS) enables developers to run serverless applications without
managing operational tasks. In current FaaS platforms, both synchronous and asynchronous …

The Function-as-a-Service (FaaS) execution model increases developer productivity by
removing operational concerns such as managing hardware or software runtimes …

With the rapid development of information technology, the concept of the Metaverse has
swept the world and set off a new wave of the industrial revolution. The construction of living …

Stream processing acceleration is driven by the continuously increasing volume and velocity
of data generated on the Web and the limitations of storage, computation, and power …

This comprehensive benchmarking study explores the performance of three prominent
machine learning libraries: PyTorch, Keras with TensorFlow backend, and Scikit-learn with …