How do we evaluate self-adaptive software systems?: A ten-year perspective of SEAMS

I Gerostathopoulos, T Vogel, D Weyns… - … for Adaptive and Self …, 2021 - ieeexplore.ieee.org
With the increase of research in self-adaptive systems, there is a need to better understand
the way research contributions are evaluated. Such insights will support researchers to …

[PDF][PDF] Cost-benefit analysis at runtime for self-adaptive systems applied to an internet of things application.

MJ Van Der Donckt, D Weyns, MU Iftikhar, RK Singh - ENASE, 2018 - academia.edu
Ensuring the qualities of modern software systems, such as the Internet of Things, is
challenging due to various uncertainties, such as dynamics in availability of resources or …

Effective decision making in self-adaptive systems using cost-benefit analysis at runtime and online learning of adaptation spaces

J Van Der Donckt, D Weyns, MU Iftikhar… - Evaluation of Novel …, 2019 - Springer
Self-adaptation is an established approach to deal with uncertainties that are difficult to
predict before a system is deployed. A self-adaptative system employs a feedback loop that …

[PDF][PDF] Investigating resource interference and scaling on multitenant PaaS clouds

P Patros, SA MacKay, KB Kent… - Proceedings of the 26th …, 2016 - researchgate.net
ABSTRACT Platform as a Service (PaaS) clouds are capable of both transparently allocating
computing resources as well as providing part of the software stack and related services to …

SLO request modeling, reordering and scaling

P Patros, KB Kent, M Dawson - Proceedings of the 27th annual …, 2017 - dl.acm.org
With the advent of microservices, the Internet-of-Things high-velocity big-data applications,
client-server cloud services are increasingly driven by automated agents, including other …

[PDF][PDF] Enabling devops for containerized data-intensive applications: an exploratory study.

M Fokaefs, C Barna, R Veleda, M Litoiu… - CASCON, 2016 - academia.edu
In an ever-changing landscape of software technology, new development paradigms, novel
infrastructure technologies and emerging application domains reveal exciting opportunities …

Elasticity debt analytics exploitation for green mobile cloud computing: An equilibrium model

G Skourletopoulos, CX Mavromoustakis… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Mobile cloud computing is the model to ubiquitously access a shared pool of cloud
computing resources, data, and services on-demand. This paper introduces the elasticity …

Cost-efficient parallel processing of irregularly structured problems in cloud computing environments

J Haussmann, W Blochinger, W Kuechlin - Cluster Computing, 2019 - Springer
In this paper, we deal with optimizing the monetary costs of executing parallel applications in
cloud-based environments. Specifically, we investigate on how scalability characteristics of …

A debt-aware learning approach for resource adaptations in cloud elasticity management

C Mera-Gómez, F Ramírez, R Bahsoon… - … -Oriented Computing: 15th …, 2017 - Springer
Elasticity is a cloud property that enables applications and their execution systems to
dynamically acquire and release shared computational resources on demand. Moreover, it …

A novel three-tier SQLi detection and mitigation scheme for cloud environments

W Rajeh, A Abed - 2017 International Conference on Electrical …, 2017 - ieeexplore.ieee.org
Cloud computing is undoubtedly considered one of the most discussed topics in recent
times, both in the research and business sectors. Various schools of thought have attempted …