Applying machine learning in self-adaptive systems: A systematic literature review
Recently, we have been witnessing a rapid increase in the use of machine learning
techniques in self-adaptive systems. Machine learning has been used for a variety of …
techniques in self-adaptive systems. Machine learning has been used for a variety of …
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 …
Triggering proactive business process adaptations via online reinforcement learning
A Metzger, T Kley, A Palm - International Conference on Business Process …, 2020 - Springer
Proactive process adaptation can prevent and mitigate upcoming problems during process
execution by using predictions about how an ongoing case will unfold. There is an important …
execution by using predictions about how an ongoing case will unfold. There is an important …
Artificial collective intelligence engineering: a survey of concepts and perspectives
R Casadei - Artificial Life, 2023 - ieeexplore.ieee.org
Collectiveness is an important property of many systems—both natural and artificial. By
exploiting a large number of individuals, it is often possible to produce effects that go far …
exploiting a large number of individuals, it is often possible to produce effects that go far …
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 …
Self-adaptive systems: A systematic literature review across categories and domains
Context: Championed by IBM's vision of autonomic computing paper in 2003, the autonomic
computing research field has seen increased research activity over the last 20 years …
computing research field has seen increased research activity over the last 20 years …
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 …
A survey of adaptive multi-agent networks and their applications in smart cities
N Nezamoddini, A Gholami - Smart Cities, 2022 - mdpi.com
The world is moving toward a new connected world in which millions of intelligent
processing devices communicate with each other to provide services in transportation …
processing devices communicate with each other to provide services in transportation …
Explaining online reinforcement learning decisions of self-adaptive systems
Design time uncertainty poses an important challenge when developing a self-adaptive
system. As an example, defining how the system should adapt when facing a new …
system. As an example, defining how the system should adapt when facing a new …
Collective intelligence using 5G: Concepts, applications, and challenges in sociotechnical environments
A Narayanan, MS Korium, DC Melgarejo… - IEEE …, 2022 - ieeexplore.ieee.org
Distributed intelligence is a well-known approach for optimizing interactions among
numerous smart devices that interconnect and operate together as Internet of Things (IoT) …
numerous smart devices that interconnect and operate together as Internet of Things (IoT) …