Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

Abstract Machine learning research has long focused on models rather than datasets, and
prominent datasets are used for common ML tasks without regard to the breadth, difficulty …

Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

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

Serverless cloud computing handles virtually all the system administration operations
needed to make it easier for programmers to use the cloud. It provides an interface that …

We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …

The rise of serverless computing Page 1 44 COMMUNICATIONS OF THE ACM |
DECEMBER 2019 | VOL. 62 | NO. 12 contributed articles ILL US TRA TION B Y PETER …

As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …

Function-as-a-Service (FaaS) platforms and" serverless" cloud computing are becoming
increasingly popular. Current FaaS offerings are targeted at stateless functions that do …