Multiscale Networked Systems

The Multiscale Networked System (MNS) group researches the emerging architectures that can support the operations of multiscale systems across the Future Internet.

News

Lu Zhang successfully defends her PhD thesis

Lu Zhang successfully defended her PhD thesis, titled “A policy compliance detection architecture for data exchange infrastructures” on Oct.19, 2022. Her PhD research was focused on designing and establishing digital infrastructures that facilitate secure data sharing and federation with policy enforcement capabilities.

MNS research visitor receives the STG award of CNSM 2022

MNS research visitor receives the award on the CNSM 2022. The Student Travel Grants (STG) by IFIP goes to Leandro Almeida, speaker of the full paper: “iRED: Improving the DASH QoS by dropping packets in programmable data planes” at the 18th International Conference on Network and Service Management, which happened at Thessaloniki, Greece.

Zeshun Shi successfully defends his PhD thesis

Zeshun Shi successfully defended his PhD thesis, titled “Enhancing Service-Level Agreements Using Decentralized Auctions and Witnesses” on the 3rd of November 2022. His Ph.D. research was focused on the use of blockchain, smart contracts, game theory, and auction models to create a decentralized cloud marketplace, and to orchestrate trustworthy transactions for cloud services.

PhD Position on "Data Science Methods Detecting Legal Issues in Decentralized Systems"

The Faculty of Law, Institute for Information Law (IViR), and the Informatics Institute (IvI) at the Faculty of Science is offering an interdisciplinary PhD position to work on the development of data science methods to detect legal issues in decentralized systems.

Publications

Software

Software tools, infrastructures, and demonstrations are, just as scientific publications, considered to be important research output of the MNS group. Over the years, the researchers and PhD-students of the MNS group developed several research tools and infrastructures.

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DRIP

The Dynamic Real-time Infrastructure Planner (DRIP) is a microservice suite for planning and provisioning networked virtual machines, for deploying application components and for managing runtime infrastructures based on time-critical constraints.

INDL-NML

The intuition our group had years ago was that we could leverage Semantic Web technologies to identify the exchangeable knowledge required to federate networks. We proved that we can manage the complexity and heterogeneity of the Internet with semantically rich models.

LOBCDER

Large OBject Cloud Data storagE fedeRation (LOBCDER) is a data management system that federates storage resources. It is a part of the Data and Compute Cloud Platform4 of the VPH-Share project.

Pumpkin

Pumpkin is a framework for distributed Data Transformation Network developed in the COMMIT Project. It implements a protocol for distributed data processing. A data packet is a self-contained processing unit, which incorporates data, state, code and routing information.

SARNET Demo SC16

This video shows a screencapture of the SARNET demonstration at SC16. The demo shows a virtual network that leverages Software Defined Networks and Network

WeevilScout

WeevilScout. Given the ubiquity of Web browsers and the performance gains being achieved by JavaScript virtual machines, a question arises: Could Internet browsers become yet another middleware for distributed computing?

OpenLab

Introduction

The OpenLab facility is managed by the MNS group and available to all researchers within the SNE cluster and the associated educational programs, e.g. Software Engineering (SE) and Security and Network Engineering (SNE) masters.

It is designed to support research and experimentation in software defined networking, embedded systems, distributed systems, Future Internet architectures and protocols, and secure data sharing platforms, and evaluate the applicability of Machine Learning in those research domains.

Learn more about the OpenLab here.

People

Please find vacancies of the MNS group here.

Group Chair

Scientific Staff

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Marian Bubak

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Rob van Nieuwpoort

Postdocs

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Uraz Odyurt

PhD Students

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Cyril Hsu

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Henk Dreuning

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Hongyun Liu

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Jamila Kassem

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Misha Mesarcik

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Na Li

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Ruyue Xin

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Saba Amiri

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Sara Shakeri

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Thijs van den Berg

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Yuandou Wang

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Zhengqiu Zhu

Guests

Research, Technical and Administrative Support

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Cees Portegies

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Riccardo Bianchi