Disclosing edge intelligence: A systematic meta-survey
The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …
An overview on the challenges and limitations using cloud computing in healthcare corporations
Technological advances in high throughput platforms for biological systems enable the cost-
efficient production of massive amounts of data, leading life science to the Big Data era. The …
efficient production of massive amounts of data, leading life science to the Big Data era. The …
[HTML][HTML] Edge intelligence secure frameworks: Current state and future challenges
At the confluence of two great paradigms such as Edge Computing and Artificial Intelligence,
Edge Intelligence arises. This new concept is about the smart exploitation of Edge …
Edge Intelligence arises. This new concept is about the smart exploitation of Edge …
[HTML][HTML] The exchange calculus (XC): A functional programming language design for distributed collective systems
Distributed collective systems are systems formed by homogeneous dynamic collections of
devices acting in a shared environment to pursue a joint task or goal. Typical applications …
devices acting in a shared environment to pursue a joint task or goal. Typical applications …
Model-based system engineering of the Internet of Things: A bibliometric literature analysis
E Ahmad - IEEE Access, 2023 - ieeexplore.ieee.org
Model-based System Engineering (MBSE) of the Internet of Things (IoT) literature is broad,
and analysis of this literature enables the identification of themes and potential future study …
and analysis of this literature enables the identification of themes and potential future study …
[HTML][HTML] Scalability through Pulverisation: Declarative deployment reconfiguration at runtime
In recent years, the infrastructure supporting the execution of situated distributed
computations evolved at a fast pace. Modern collective adaptive applications–as found in …
computations evolved at a fast pace. Modern collective adaptive applications–as found in …
Edge Intelligence for Industrial IoT: Opportunities and Limitations
Abstract Industrial Internet of Things (IIoT) nowadays represents a fundamental technology
for the Industry 4.0 initiatives for connecting devices, operators and processes so as to …
for the Industry 4.0 initiatives for connecting devices, operators and processes so as to …
Flexible self-organisation for the cloud-edge continuum: a macro-programming approach
Macro-programming enables the definition of highly distributed applications as a single
“macro-program”, providing first-class abstractions to describe and reason about global …
“macro-program”, providing first-class abstractions to describe and reason about global …
[HTML][HTML] Dynamic IoT deployment reconfiguration: A global-level self-organisation approach
The edge–cloud continuum provides a heterogeneous, multi-scale, and dynamic
infrastructure supporting complex deployment profiles and trade-offs for application …
infrastructure supporting complex deployment profiles and trade-offs for application …
Understanding and engineering cyber-physical collectives
design can be carried out by automatic techniques (eg, leveraging evolutionary computing
or multiagent reinforcement learning-see also Buchberger (2023)) or manual programming …
or multiagent reinforcement learning-see also Buchberger (2023)) or manual programming …