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 …
An overview of design patterns for self-adaptive systems in the context of the internet of things
The Internet of Things (IoT) requires the integration of all available, highly specialized, and
heterogeneous devices, ranging from embedded sensor nodes to servers in the cloud. The …
heterogeneous devices, ranging from embedded sensor nodes to servers in the cloud. The …
A hybrid approach combining control theory and AI for engineering self-adaptive systems
RD Caldas, A Rodrigues, EB Gil… - Proceedings of the …, 2020 - dl.acm.org
Control theoretical techniques have been successfully adopted as methods for self-adaptive
systems design to provide formal guarantees about the effectiveness and robustness of …
systems design to provide formal guarantees about the effectiveness and robustness of …
SARDE: a framework for continuous and self-adaptive resource demand estimation
Resource demands are crucial parameters for modeling and predicting the performance of
software systems. Currently, resource demand estimators are usually executed once for …
software systems. Currently, resource demand estimators are usually executed once for …
Tackling the rich vehicle routing problem with nature-inspired algorithms
In the last decades, the classical Vehicle Routing Problem (VRP), ie, assigning a set of
orders to vehicles and planning their routes has been intensively researched. As only the …
orders to vehicles and planning their routes has been intensively researched. As only the …
Assessing self-adaptation strategies using cost-benefit analysis
I Gerostathopoulos, C Raibulet… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
Self-adaptive software systems stand out from traditional ones in that they are able to
autonomously change their behavior and structure during their execution using one or more …
autonomously change their behavior and structure during their execution using one or more …
Self-aware optimization of adaptation planning strategies
In today's world, circumstances, processes, and requirements for software systems are
becoming increasingly complex. To operate properly in such dynamic environments …
becoming increasingly complex. To operate properly in such dynamic environments …
Planning landscape analysis for self-adaptive systems
T Chen - Proceedings of the 17th Symposium on Software …, 2022 - dl.acm.org
To assure performance on the fly, planning is arguably one of the most important steps for
self-adaptive systems (SASs), especially when they are highly configurable with a daunting …
self-adaptive systems (SASs), especially when they are highly configurable with a daunting …
Rethinking MAPE: Next Generation Adaptation Control for Learning Adaptive Systems
Over the last three decades, computer systems completely changed from large-scale and
mainly isolated systems to interactive, often mobile devices. Such devices are equipped with …
mainly isolated systems to interactive, often mobile devices. Such devices are equipped with …
Information Reuse and Stochastic Search: Managing Uncertainty in Self-* Systems
C Kinneer, D Garlan, C Le Goues - ACM Transactions on Autonomous …, 2021 - dl.acm.org
Many software systems operate in environments of change and uncertainty. Techniques for
self-adaptation allow these systems to automatically respond to environmental changes, yet …
self-adaptation allow these systems to automatically respond to environmental changes, yet …