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David Haja

Researcher at Budapest University of Technology and Economics

Publications -  15
Citations -  273

David Haja is an academic researcher from Budapest University of Technology and Economics. The author has contributed to research in topics: Cloud computing & Orchestration (computing). The author has an hindex of 6, co-authored 15 publications receiving 147 citations.

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Journal ArticleDOI

5G support for Industrial IoT Applications - Challenges, Solutions, and Research gaps

TL;DR: This paper identifies current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains, and provides meaningful comparisons for each of these areas to draw conclusions on current research gaps.
Journal ArticleDOI

Scalable edge cloud platforms for IoT services

TL;DR: This paper proposes two architecture options together with proof-of-concept prototypes and corresponding embedding algorithms, which enable the provisioning of delay-sensitive IoT applications and proposes a multi-layer orchestration system where an orchestrator is added on top of VIMs and network controllers to integrate different resource domains.
Proceedings ArticleDOI

Tuple space explosion: a denial-of-service attack against a software packet classifier

TL;DR: This paper evaluates whether the de facto Tuple Space Search (TSS) packet classification algorithm used in popular software networking stacks such as the Open vSwitch is robust against low-rate denial-of-service attacks and proposes MFCGuard that carefully manages the tuple space and keeps packet classification fast.
Proceedings ArticleDOI

Sharpening Kubernetes for the Edge

TL;DR: A custom Kubernetes scheduler that makes its decisions with applications' delay constraints and edge reliability in mind is designed, and the solution that is released as open source is described.
Proceedings ArticleDOI

How to orchestrate a distributed OpenStack

TL;DR: The slight modification of OpenStack, the mainstream VIM today, is shown, which enables it to manage a distributed cloud-fog infrastructure and takes into account network aspects that are extremely important in a resource setup with remote fogs.