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MaLeFICE: Machine learning support for continuous performance improvement in computational engineering
(Wiley, 2022-04-25)
Computer aided engineering (CAE) practices improved drastically within the last decade due to ease of access to computing resources and open-source software. However, increasing complexity of hardware and software settings ...
Büyük veri problemlerine çözüm olarak veri akış madenciliği
(IEEE, 2013)
Günümüzde bilişim dünyası faydalı bilgiye ulaşma yolunda “büyük veri” problemleri (verinin kütlesi, hızı, çeşitliliği, tutarsızlığı) ile baş etmeye çalışmaktadır. Bu makalede, büyük veri akışları üzerinde İlişkisel Kural ...
Towards low cost and smart load testing as a service using containers
(Springer, 2021)
Providing end-users with high quality e-commerce, online communication, education services requires careful performance monitoring, tuning and prediction under heavy traffic loads. To address this issue, we propose and ...
Finecloud: Fine-grained cloud service advisory using machine learning
(IEEE, 2022)
Motivated by real customer problems, we investigated utilization of cloud services at different layers including infrastructure (IaaS), application services (PaaS) and databases (DaaS). We found several issues such as ...
Remote dbugging for containerized applications in edge computing environments
(IEEE, 2019)
Edge Computing (EC) became popular again with the rise of IoT, Cloud Computing, and Industry 4.0. In this paper, difficulties of application development in the EC environment are discussed and a container-based solution ...
Model-based runtime monitoring of smart city systems
(Elsevier, 2018)
The pace of proliferation for smart systems in city wide applications is unmatched. The introduction of Internet of Things (IoT), an enabler of smart city phenomenon, has incubated a productive environment for such ...
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