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29<title>RealVNF | Improved coordination of chained VNFs under realistic conditions</title>
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50    <header class="page-header" role="banner">
51      <h1 class="project-name">RealVNF</h1>
52      <h2 class="project-tagline">Improved coordination of chained VNFs under realistic conditions</h2>
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57    <main id="content" class="main-content" role="main">
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58<script src="https://kit.fontawesome.com/cd408a8b63.js" crossorigin="anonymous"></script>
58
59
60<p align="center"><img src="assets/realvnf_logo.png" /></p>
61<h1 id="a-software-campus-project">A Software Campus project</h1>
62
63<p>RealVNF is a 2-year project (11/2018 to 01/2021) that is funded by the German Ministry for Education and Research (BMBF) and part of the <a href="https://www.softwarecampus.de/en/">Software Campus</a>. The project is a collaboration between Paderborn University, Germany, and Huawei Munich.</p>
64
65<p>The goal of the project is to design and develop concepts and algorithms to improve coordination of chained virtual network functions (VNFs) under realistic conditions, take cloud computing and network softwarization to the next level. A strong focus is on novel approaches leveraging machine learning and reinforcement learning.</p>
66
67<p>Official RealVNF project description: <a href="https://softwarecampus.de/en/project/realvnf-improved-coordination-of-chained-vnfs-under-realistic-conditions/">Software Campus RealVNF website</a></p>
68
69<p>Related blog post: <a href="https://stefanbschneider.github.io/blog/my-first-project">Lessons learned from leading my first project</a></p>
70
71<h2 id="team">Team</h2>
72
73<p align="center">
74	<img src="assets/upb.png" width="200" hspace="20" />
75	<img src="assets/huawei_horizontal.png" width="200" hspace="20" />
76</p>
77
78<p><strong>Project lead:</strong></p>
79
80<ul>
81  <li><a href="https://stefanbschneider.github.io">Stefan Schneider</a>, Paderborn University</li>
82</ul>
83
84<p><strong>Industrial partners:</strong></p>
85
86<ul>
87  <li>Artur Hecker, Huawei Munich Research Center</li>
88  <li>Ramin Khalili, Huawei Munich Research Center</li>
89</ul>
90
91<p><strong>Student researchers and developers:</strong></p>
92
93<ul>
94  <li>Adnan Manzoor, Paderborn University</li>
95  <li>Haydar Qarawlus, Paderborn University</li>
96  <li>Rafael Schellenberg, Paderborn University</li>
97  <li>Sven Uthe, Paderborn University</li>
98</ul>
99
100<h2 id="project-outcomes">Project Outcomes</h2>
101
102<h3 id="publications">Publications</h3>
103
104<ul>
105  <li>
106    <p><strong>Distributed Online Service Coordination Using Deep Reinforcement Learning</strong>
107S. Schneider, H. Qarawlus, and H. Karl
108IEEE International Conference on Distributed Computing Systems (ICDCS), 2021 [<a href="https://ris.uni-paderborn.de/download/21543/21544/public_author_version.pdf">preprint</a>] [<a href="https://github.com/RealVNF/distributed-drl-coordination">code</a>]</p>
109  </li>
110  <li>
111    <p><strong>Divide and Conquer: Hierarchical Network and Service Coordination</strong>
112S. Schneider, M. Jürgens, and H. Karl
113IFIP/IEEE International Symposium on Integrated Network Management (IM), 2021 [<a href="https://ris.uni-paderborn.de/download/20693/20694/preprint_with_header.pdf">preprint</a>] [<a href="https://github.com/CN-UPB/hierarchical-coordination">code</a>]</p>
114  </li>
115  <li>
116    <p><strong>Self-Driving Network and Service Coordination Using Deep Reinforcement Learning</strong>
117S. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, and A. Hecker
118IEEE International Conference on Network and Service Management (CNSM), 2020 [<a href="https://ris.uni-paderborn.de/record/19609">preprint</a>] [<a href="https://github.com/RealVNF/deep-rl-network-service-coordination">code</a>]</p>
119
120    <p><i class="fas fa-award"></i> <em>Best Student Paper at CNSM 2020</em></p>
121  </li>
122  <li>
123    <p><strong>Every Node for Itself: Fully Distributed Service Coordination</strong>
124S. Schneider, L. D. Klenner, H. Karl
125IEEE International Conference on Network and Service Management (CNSM), 2020 [<a href="https://ris.uni-paderborn.de/record/19607">preprint</a>] [<a href="https://github.com/CN-UPB/distributed-coordination">code</a>]</p>
126  </li>
127  <li>
128    <p><strong>Machine Learning for Dynamic Resource Allocation in Network Function Virtualization</strong>
129S. Schneider, N. P. Satheeschandran, M. Peuster, and H. Karl
130IEEE Conference on Network Softwarization (NetSoft), 2020 [<a href="https://ris.uni-paderborn.de/record/16219">preprint</a>] [<a href="https://github.com/CN-UPB/ml-for-resource-allocation">code</a>]</p>
131  </li>
132</ul>
133
134<h3 id="open-source-repositories">Open-Source Repositories</h3>
135
136<p>Selected repositories:</p>
137
138<ul>
139  <li><a href="https://github.com/RealVNF/deep-rl-network-service-coordination">deep-rl-network-service-coordination</a>: A deep reinforcement learning framework for self-driving network &amp; service coordination.</li>
140  <li><a href="https://github.com/RealVNF/coord-sim">coord-sim</a>: A Python lightweight flow-level simulator for evaluating network &amp; service coordination algorithms.</li>
141  <li><a href="https://github.com/CN-UPB/hierarchical-coordination">hierarchical-coordination</a>: Hierarchical network &amp; service coordination using a divide-and-conquer strategy</li>
142  <li><a href="https://github.com/CN-UPB/distributed-coordination">distributed-coordination</a>: Fully distributed algorithms for highly scalable network &amp; service coordination.</li>
143  <li><a href="https://github.com/CN-UPB/ml-for-resource-allocation">ml-for-resource-allocation</a>: Machine learning framework for dynamic resource allocation in NFV.</li>
144</ul>
145
146<p>All repositories: <a href="https://github.com/RealVNF/">https://github.com/RealVNF/</a></p>
147
148<h3 id="videos">Videos</h3>
149
150<p>Self-Learning Network and Service Coordination (Demo):</p>
151<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/Y30V7M5FabA" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen=""></iframe>
152
153<p>Self-Driving Network and Service Coordination Using Deep Reinforcement Learning (Conference Talk at <a href="http://www.cnsm-conf.org/2020/">IEEE CNSM 2020</a>):</p>
154
155<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/aOf08uCDNO8" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen=""></iframe>
156
157<p>Fully Distributed Service Coordination (Conference Talk at <a href="http://www.cnsm-conf.org/2020/">IEEE CNSM 2020</a>):</p>
158
159<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/rKJoJUte-Hk" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture" allowfullscreen=""></iframe>
160
161<p align="center">
162	<img src="assets/software_campus.png" width="200" />
163	<img src="assets/BMBF_sponsored_by.jpg" width="200" />
164</p>
165<hr />
166
167<p><sup>RealVNF logo made with <a href="https://www.designevo.com/en/">DesignEvo</a>. Website built with Jekyll and the <a href="https://github.com/pages-themes/cayman">Cayman theme</a>. This page was generated by <a href="https://pages.github.com">GitHub pages</a> and is maintained by <a href="https://github.com/stefanbschneider/">Stefan Schneider</a>. <a href="https://www.websitepolicies.com/policies/view/jxmRJKL6">Privacy policy</a>. <a href="https://www.websitepolicies.com/policies/view/HRFXfotb">Cookie policy</a>.</sup></p>
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