AI for next generation computing: Emerging trends and future directions

SS Gill, M Xu, C Ottaviani, P Patros, R Bahsoon… - Internet of Things, 2022 - Elsevier
Autonomic computing investigates how systems can achieve (user) specified “control”
outcomes on their own, without the intervention of a human operator. Autonomic computing …

Security trends in Internet of Things: A survey

Rachit, S Bhatt, PR Ragiri - SN Applied Sciences, 2021 - Springer
Abstract The Internet of Things (IoT) is a network of embedded devices that are uniquely
identifiable and have embedded software required to communicate between the transient …

A survey on resilience in the iot: Taxonomy, classification, and discussion of resilience mechanisms

C Berger, P Eichhammer, HP Reiser… - ACM Computing …, 2021 - dl.acm.org
Internet-of-Things (IoT) ecosystems tend to grow both in scale and complexity, as they
consist of a variety of heterogeneous devices that span over multiple architectural IoT layers …

A capillary computing architecture for dynamic internet of things: Orchestration of microservices from edge devices to fog and cloud providers

S Taherizadeh, V Stankovski, M Grobelnik - Sensors, 2018 - mdpi.com
The adoption of advanced Internet of Things (IoT) technologies has impressively improved
in recent years by placing such services at the extreme Edge of the network. There are …

Key influencing factors of the Kubernetes auto-scaler for computing-intensive microservice-native cloud-based applications

S Taherizadeh, M Grobelnik - Advances in Engineering Software, 2020 - Elsevier
Nowadays, different types of computing-intensive services such as mechanical, aerospace,
civil and environmental applications are often deployed on the cloud since it offers a …

Self-adapting cloud services orchestration for fulfilling intensive sensory data-driven IoT workflows

MA Serhani, HT El-Kassabi, K Shuaib… - Future Generation …, 2020 - Elsevier
Cloud computing has been adopted to support among others the storage and processing of
complex Internet of Things (IoT) workflows handling sensory streamed time-series data. IoT …

Self-adaptation in industry: A survey

D Weyns, I Gerostathopoulos, N Abbas… - ACM Transactions on …, 2023 - dl.acm.org
Computing systems form the backbone of many areas in our society, from manufacturing to
traffic control, healthcare, and financial systems. When software plays a vital role in the …

An efficient dynamic service provisioning mechanism in fog computing environment: A learning automata approach

M Tekiyehband, M Ghobaei-Arani… - Expert Systems with …, 2022 - Elsevier
Recent advances in the Internet of Things (IoT) technology have contributed to growing the
number of IoT applications in various scenarios, eg, buildings, cities, healthcare, wearable …

Ram: Causally-connected and requirements-aware runtime models using bayesian learning

N Bencomo, LHG Paucar - 2019 ACM/IEEE 22nd International …, 2019 - ieeexplore.ieee.org
[Context/Motivation] A model at runtime can be defined as an abstract representation of a
system, including its structure and behaviour, which exist alongside with the running system …

Sustaining performance while reducing energy consumption: a control theory approach

S Cerf, R Bleuse, V Reis, S Perarnau… - Euro-Par 2021: Parallel …, 2021 - Springer
Production high-performance computing systems continue to grow in complexity and size.
As applications struggle to make use of increasingly heterogeneous compute nodes …