Adaptation in edge computing: a review on design principles and research challenges
Edge computing places the computational services and resources closer to the user
proximity, to reduce latency, and ensure the quality of service and experience. Low latency …
proximity, to reduce latency, and ensure the quality of service and experience. Low latency …
A survey on engineering approaches for self-adaptive systems
The complexity of information systems is increasing in recent years, leading to increased
effort for maintenance and configuration. Self-adaptive systems (SASs) address this issue …
effort for maintenance and configuration. Self-adaptive systems (SASs) address this issue …
A literature review on optimization techniques for adaptation planning in adaptive systems: State of the art and research directions
Context: Recent developments in modern IT systems including internet of things, edge/fog
computing, or cyber–physical systems support intelligent and seamless interaction between …
computing, or cyber–physical systems support intelligent and seamless interaction between …
Self-improving system integration: Mastering continuous change
The research initiative “self-improving system integration”(SISSY) was established with the
goal to master the ever-changing demands of system organisation in the presence of …
goal to master the ever-changing demands of system organisation in the presence of …
Partitioned integration and coordination via the self-organising coordination regions pattern
In software engineering, knowledge about recurrent problems, along with blueprints of
associated solutions for diverse design contexts, are often captured in so-called design …
associated solutions for diverse design contexts, are often captured in so-called design …
Organic computing in the spotlight
Organic Computing is an initiative in the field of systems engineering that proposed to make
use of concepts such as self-adaptation and self-organisation to increase the robustness of …
use of concepts such as self-adaptation and self-organisation to increase the robustness of …
Novelty detection in continuously changing environments
Self-improving system integration (SISSY) aims at mastering the challenges of system
organisation decisions for subsystems with highly dynamic behaviours. This is achieved by …
organisation decisions for subsystems with highly dynamic behaviours. This is achieved by …
Algorithms for maximum satisfiability using unsatisfiable cores
Many decision and optimization problems in Electronic Design Automation (EDA) can be
solved with Boolean Satisfiability (SAT). Moreover, well-known extensions of SAT also find …
solved with Boolean Satisfiability (SAT). Moreover, well-known extensions of SAT also find …
On learning in collective self-adaptive systems: State of practice and a 3d framework
Collective self-adaptive systems (CSAS) are distributed and interconnected systems
composed of multiple agents that can perform complex tasks such as environmental data …
composed of multiple agents that can perform complex tasks such as environmental data …
[KNIHA][B] Organic traffic control
Urban road networks are an infrastructural key factor for modern cities. To facilitate an
efficient transportation of people and goods, it is crucial to optimise the networks' …
efficient transportation of people and goods, it is crucial to optimise the networks' …