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

Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

Context: A fog computing architecture that is geographically distributed and to which a
variety of heterogeneous devices are ubiquitously connected at the end of a network in …

Born from a need for a pure “pay-per-use” model and highly scalable platform, the
“Serverless” paradigm emerged and has the potential to become a dominant way of building …

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 …

Edge computing enables applications to leverage computing resources near the data
source to perform data processing, which can effectively cope with the explosive growth of …

Mobile augmented reality (Mobile AR) is gaining increasing attention from both academia
and industry. Hardware-based Mobile AR and App-based Mobile AR are the two dominant …

Serverless computing, or Function as a Service (FaaS), represents a research trend where
applications are built and deployed as a group of stateless functions. Although initially …

Edge computing is an emerging paradigm for the increasing computing and networking
demands from end devices to smart things. Edge computing allows the computation to be …

Serverless computing offers a wide variety of event-driven integrations and cloud services,
easy development and implementation frameworks, and complex balancing and control of …