Structural Adaptations of Decentralized Coordination Processes in Self-Organizing Systems

Preisler, Thomas; Dethlefs, Tim; Renz, Wolfgang

doi:10.1109/icac.2016.66

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…For instance, in [34], the authors consider ad-hoc distributed networks where the topology and routing in the network is inherently organized on a peer to peer basis. In [41], the authors argue that modern computing systems are characterized by an increasing level of complexity and uncertain changes, requiring the need for a decentralized self-adaptation solution. In [20], the authors consider self-adaptation in a traffic setting of a city, where entities are inherently distributed and adaptation decisions are made by locally owned components.…”

Section: A Demographic Informationmentioning

confidence: 99%

Decentralized Self-Adaptive Systems: A Mapping Study

Quin,

Weyns,

Gheibi

2021

Preprint

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With the increasing ubiquity and scale of selfadaptive systems, there is a growing need to decentralize the functionality that realizes self-adaptation. Our focus is on architecture-based self-adaptive systems where one or more functions for monitoring, analyzing, planning, and executing are realized by multiple components that coordinate with one another. While some earlier studies have shed light on existing work on the decentralization of self-adaptive systems, there is currently no clear overview of the state of the art in decentralization of selfadaptive systems. Yet, having a precise view on the state of the art in decentralized self-adaptive systems is crucial for researchers to understand existing solutions and drive future research efforts. To address this gap, we conducted a mapping study. The study focused on papers published at 24 important venues that publish research on self-adaptation. The study focused on the motivations for choosing a decentralized approach to realize self-adaptation, the adaptation functions that are decentralized, the realization of the coordination, and the open challenges in the area.

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Section: A Demographic Informationmentioning

confidence: 99%

Decentralized Self-Adaptive Systems: A Mapping Study

Quin,

Weyns,

Gheibi

2021

Preprint

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“…Coordination is often required in distributed adaptive systems. A recent example describes an approach to allow structural adaptation of decentralised coordination processes [9], introducing a voting scheme to solve conflicts between adaptive elements on the system. Though the overall approach to guide software adaptation relies heavily on predefined policies, the decentralised coordination of systems adaptation provides insightful concepts that may be complementary to our work, particularly in the exploration of hybrid learning solutions based on information sharing.…”

Section: Related Workmentioning

confidence: 99%

“…Current self-organising techniques use policies to guide system adaptation (e.g. [2,5,9]). Human-defined policies express the context in which adaptation should be executed and how adaptations should occur, i.e., to what behaviour the system should adapt.…”

Section: Introductionmentioning

confidence: 99%

Experiments with a Machine-centric Approach to Realise Distributed Emergent Software Systems

Filho

Porter

2016

Proceedings of the 15th International Workshop on Adaptive and Reflective Middleware

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Modern distributed systems are exposed to constant changes in their operating environment, leading to high uncertainty. Self-adaptive and self-organising approaches have become a popular solution for runtime reactivity to this uncertainty. However, these approaches use predefined, expertly-crafted policies or models, constructed at design-time, to guide system (re)configuration. They are human-centric, making modelling or policy-writing difficult to scale to increasingly complex systems; and are inflexible in their ability to deal with the unexpected at runtime (e.g. conditions not captured in a policy). We argue for a machine-centric approach to this problem, in which the desired behaviour is autonomously learned and emerges at runtime from a large pool of small alternative components, as a continuous reaction to the observed behaviour of the software and the characteristics of its operating environment. We demonstrate our principles in the context of data-centre software, showing that our approach is able to autonomously coordinate a distributed infrastructure composed of emergent web servers and a load balancer. Our initial results validate our approach, showing autonomous convergence on an optimal configuration, and also highlight the open challenges in providing fully machineled distributed emergent software systems. CCS Concepts •Software and its engineering → Distributed systems organizing principles; Software design engineering;

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