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

Hongyun Liu wins the best student paper awards of the IEEE Cloud conference 2021

Hongyun Liu, supervised by Dr. Zhiming Zhao, received the best student paper awards from the IEEE Cloud conference 2021. Machine learning-based resource scheduling solutions often suffer from low robustness when workloads change, particularly when tasks are time-critical.

MNS, CCI groups partner in CATRIN project.

Researchers from the Informatics Institute, Dr Paola Grosso and Dr Chrysa Papagianni both from the MultiScale Networked Systems group as well as Prof. Cees de Laat from the Complex Cyber Infrastructure group, contributed to the proposal and will carry out the research at the University of Amsterdam.

Humainer AI proposal awarded to Dr. Paola Grosso

The proposal ‘a HUman and Mathematical Approach to Implementing and Navigating Explainable and Responsible AI’ from Paola Grosso has been awarded in the NWO multidisciplinary call Artificial Intelligence Responsible Use.

Dr. Paola Grosso leads User-driven Path Verification and Control for Inter-domain Networks (UPIN) project.

UPIN is a collaboration between Dr. Paola Grosso from the Multiscale Networked Systems Lab (MNS) and prof. Pras and dr. Hesselman (from TU Twente and SIDNLabs respectively). Read more https://ivi.uva.nl/content/news/2020/01/upin-grant-for-paola-grosso.html

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