An Automated Approach to Management of a Collection of Autonomic Systems

Glazier, Thomas J.; Garlan, David

doi:10.1109/fas-w.2019.00038

Cited by 7 publications

(2 citation statements)

References 5 publications

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“…They took action to raise educational standards, and all those involved in education benefited from their efforts. In 2019, Glazier and Garlan [20] suggested a method that allowed the development of a meta-manager, a higher-level autonomic system that neither directly coordinates the operations of the sub-autonomic managers nor subsumes the control functions. Instead, they packed and abstract each subsystem's behaviour into a parameterized adaptation policy that the meta-manager can modify to fine-tune the subsystem adaption's adaptive behaviour.…”

Section: Literature Reviewmentioning

confidence: 99%

K-means based quality prediction of object-oriented software using LR-ACO

2022

IJACR

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A quality prediction mechanism has been developed in this paper. K-means clustering algorithm has been applied for the clustering of object-oriented features. Finally logistic regression (LR) and ant colony optimization (ACO) (LR-ACO) have been used for the classification. The object-oriented parameters have been considered like polymorphism, encapsulation, abstraction, inheritance and other object-oriented features for experimentation. The purpose of these features to categorize the data in different class levels based on memory usage, reusability and multiple forms. Different hyperparameters like dynamic allocation and feature margin have also been considered for the classification thresholds. Different performance measures have been considered for the experimentation and the results shows the approach effectiveness through different exploration.

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Section: Literature Reviewmentioning

confidence: 99%

K-means based quality prediction of object-oriented software using LR-ACO

2022

IJACR

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“…Some recent approaches to the engineering of selfadaptive systems have taken an architectural approach, for instance, by focusing at defining suitable architectures for supporting self-adaptation (e.g., [23,41,22,1]), or at shaping the control loops that support autonomic self-adaptive behaviors (e.g., [32,58,57,59]). For example, Glazier and Garlan [23] present an approach for meta-management of a collection of autonomous subsystems which respects local autonomy. The behavior of each subsystem has been encapsulated and abstracted as a parameterized adaptation policy, which is then used by a meta-manager to tune the subsystem adaptation.…”

Section: Modeling Approaches For Self-adaptive Systemsmentioning

confidence: 99%

The SOTA approach to engineering collective adaptive systems

Abeywickrama

Bicocchi

Mamei

et al. 2020

Int J Softw Tools Technol Transfer

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Engineering Secure Self-Adaptive Systems with Bayesian Games

Zhang

Kang

et al. 2021

Fundamental Approaches to Software Engineering

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Security attacks present unique challenges to self-adaptive system design due to the adversarial nature of the environment. Game theory approaches have been explored in security to model malicious behaviors and design reliable defense for the system in a mathematically grounded manner. However, modeling the system as a single player, as done in prior works, is insufficient for the system under partial compromise and for the design of fine-grained defensive strategies where the rest of the system with autonomy can cooperate to mitigate the impact of attacks. To deal with such issues, we propose a new self-adaptive framework incorporating Bayesian game theory and model the defender (i.e., the system) at the granularity of components. Under security attacks, the architecture model of the system is translated into a Bayesian multi-player game, where each component is explicitly modeled as an independent player while security attacks are encoded as variant types for the components. The optimal defensive strategy for the system is dynamically computed by solving the pure equilibrium (i.e., adaptation response) to achieve the best possible system utility, improving the resiliency of the system against security attacks. We illustrate our approach using an example involving load balancing and a case study on inter-domain routing.

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An Automated Approach to Management of a Collection of Autonomic Systems

Cited by 7 publications

References 5 publications

K-means based quality prediction of object-oriented software using LR-ACO

K-means based quality prediction of object-oriented software using LR-ACO

The SOTA approach to engineering collective adaptive systems

Engineering Secure Self-Adaptive Systems with Bayesian Games

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