Niklas Carlsson

Students

NEWS: We are looking for PhD candidates, Postdocs, and MSc thesis students. In general, I am looking for self motivated students with interest in network security, privacy, network science, content delivery, multimedia networking (including HAS/DASH, VR, AR, mixed reality), measurements, networking, distributed systems, performance/systems modeling, or data mining/analysis. Please contact me if you are interested in doing a project or thesis in one of these topics.

Current PhD Students at LiU

• Minh-Ha Le: Minh-Ha transferred to my supervision in Mar. 2020. Minh-Ha is doing research on a number of privacy and security topics, and his research typically involves machine learning. His paper at ACM WPES @CCS 2020 (pdf) introduces a novel methodology and system implementation (AnonFACES) to quantify, improve and tune the privacy-utility trade-off in image de-identification. His PETS 2023 paper (pdf) presents the design of a feature-preserving anonymization framework (StyleID), which protects the individuals' identity, while preserving as many characteristics of the original faces as possible. His ACM CODASPY 2023 paper (pdf) presents the IdDecoder framework for synthesizing realistic-neutralized face images from face embeddings, along with two effective attacks on facial recognition models. His PETS 2024 paper (pdf) presents a usable privacy framework (StyleAdv) against facial recognition with adversarial image editing. Together, we also had a paper in ACM WPES @CCS 2021 (pdf).
• Alireza Mohammadinodooshan: Alireza transferred to my supervision in Nov. 2020 and is currently working on several topics related to social media analysis. In his initial works on these topics he has analyzed the effects of political bias and reliability on the temporal user engagement with news articles shared on Facebook (PAM 2023), the temporal dynamics of user engagement with US news sources on Facebook (SNAMS 2022), the social media dynamics of shorted companies (SNAMS 2022), a clone-based analysis of content-agnostic factors driving news article popularity on Twitter (ASONAM 2023), and a study of the temporal dynamics of user engagement on Instagram (WebSci 2024). Prior to joing me Alireza has published papers on robust detection of obfuscated strings in Android apps, and during his PhD he has served as a TPC member of BESC 2023 and ICWSM 2024.
• David Hasselquist: David is an industrial PhD student (with Sectra Communications) who started his PhD in Sept. 2021. His research topic is "secure communication using non-trusted autonomous clouds". During his PhD, he has published papers on fingerprint attack and encrypted traffic analysis on news articles (Networking 2022) and of Twitch streams (TMA 2022), as well as on homomorphic encryption based solutions for trading exchange (PST 2023) and audio conferencing (CCSW @CCS 2023). Other joint publications in the web privacy/security area include works at MADWeb @NDSS 2023 (pdf), IFIP Networking 2023 (pdf), and PAM 2024 (pdf). From his MSc, we also have two joint publications on QUIC performance over dual connectivity (MASCOTS 2020) and comparsions of IPV4 and IPv6 distances (MASCOTS 2020). Our IFIP Networking 2022 paper (pdf) won the best paper award and our MADWeb @NDSS paper (pdf) won the best paper runner-up award. David also won IDA's price for best MSc thesis (based on his work on QUIC and DC).
• Karol Wojtulewicz: Karol started his PhD in Jan. 2023 and is exploring some current ideas.
• Carl Magnus Bruhner: Carl Magnus started his PhD in Aug. 2023 and is exploring some current ideas. During his PhD, Carl Magnus has published a measurement paper on certificate revocation and replacement practices (PAM 2024). From prior to his PhD studies, we also have joint papers based on his BSc work (PAM 2022) and MSc work (MADWeb @ NDSS 2023). For these works, he has also been awarded with IDA's prices for the best BSc thesis award and the best MSc thesis award, as well as won the best paper runner-up award at MADWeb 2023.
• Sheyda Mirzakhan: Sheyda started her PhD in Oct. 2023 and is exploring some current ideas.
• Minxing LiU: Minxing started his PhD in Oct. 2023 and is exploring some current ideas.

Graduated PhD Students at LiU

• Vengatanathan Krishnamoorthi (graduated Mar. 2018): Vengatanathan is co-supervised with Nahid Shahmehri. His research on proxy-assisted HTTP-based adaptive streaming (HAS) appeared in IEEE MASCOTS 2013 (pdf). His work on branched video (also sometimes called "nonlinear" or "multipath" streaming) won the best paper award at the ACM SIGCOMM workshop FhMN 2013 (pdf). Our ACM Multimedia 2014 (pdf) paper shows how the playback quality for branched video can be optimized using branch-aware prefetching policies, while ensuring ensure seamless playback without playback interruptions. Our ACM Multimedia 2015 (pdf) paper presents a novel bandwidth-aware prefetching solution for proactive multi-video preloading and improved HAS performance. Vengatanathan's work also includes the design and implementation of an optimized interactive streaming solution in which users can select among many alternative viewpoints, published in IEEE Trans. on Multimedia, July 2017 (pdf), and the BUFFEST framework for predicting buffer conditions and real-time requirements of HTTP(S) adaptive streaming clients, published in ACM MMSys 2017 (pdf). Other joint publications include works at IEEE ICC 2017 (pdf), IEEE/ACM IWQoS 2018 (pdf), and ACM MMSys 2018 (pdf). We also have two joint patents with researchers at AT&T. Dr. Krishnamoorthi now works at Ericsson.
• Rahul Hiran (graduated Dec. 2016): Rahul was co-supervised with Nahid Shahmehri and Patrick Lambrix. His research proposes new collaborative distributed security protocols and uses measurements to analyze BGP security. His work characterizing the China Telecom incident on April 8, 2010, appears in PAM 2013 (pdf), his distributed alliance framework for collaborative BGP monitoring and prefix-based security, called PrefiSec, is published at ACM WISCS @ CCS 2014 (pdf) and his CrowdSec paper is published at IEEE CNS 2015 (pdf). Finally, scale, size, and locality aspects of a wide range of collaborative BGP security mechanisms are evaluated in his most recent IFIP Networking 2016 paper (pdf). Other joint publications include works at IEEE ICC 2017 (pdf) and Computer Networks 2017 (pdf). Dr. Hiran now works at Ericsson.
• Anna Vapen (graduated Sept. 2016): Anna was co-supervised with Nahid Shahmehri. Her research is on Web authentication and federated identity management. A large-scale measurement study of the identity management landscape appears in PAM 2014 (pdf), and other exciting findings about the privacy risks and information sharing in this landscape are published at IFIP SEC 2015 (pdf). Her shorter poster paper of this work also won an outstanding poster award at ACM CODASPY 2015 (pdf). A longitudinal analysis was presented at the NDSS workshop UEOP 2016 (pdf), and a high-level overview about the third-party identity management landscape can be found in our Internet Computing (pdf) article published 2016. Dr. Vapen now works at Mindcamp.

Researchers, Internship Students, and Postdocs at LiU

• August Carlsson (research assistant): August started in Sept. 2023 and is working on an industry-bridge project funded by WASP.
• Ethan Witwer (research assistant): Ethan started in Jan. 2024 and is working on an industry-bridge project funded by WASP.
• Nikita Korzhitskii (former PhD candidate): Nikita transferred to my supervision in 2018. Nikita did research on a number of network security topics related to certificates and their usage. His characterization of the root landscape of certificate transparency logs was presented at IFIP Networking 2020 (pdf). Since then, he has studied the revocation statuses on the Internet (PAM 2021) and other certificate related topics. His work on postcertificates for revocation transparency can be found in this tech report (pdf, arXiv).
• Matus Nemec (postdoc, 2020-2021): Matus worked in the area of security and applied cryptography. Joint publications include a paper on certificate replacements (PAM 2022) and postcertificates for revocation transparency (arXiv 2022).
• Tatiana Polishchuk (postdoc, 2015): During her postdoc Tatiana worked on optimization problems related to our new HAS-based content delivery techniques for tomorrow's streaming services. This work is published in IEEE Transactions on Multimedia (pdf) and extends our prior works presented at ACM Multimedia 2014 (pdf) and ACM Multimedia 2015 (pdf). Tatiana is now an associate professor at Linkoping University.
• Benoy Varghese (visiting PhD internship student, 2014): During his internship Benoy primarily worked on experiments and modeling of low-power server and proxy systems. Some of this work was published at IGCC 2014 (pdf). Benoy is now Executive Dean (Teaching and Learning) at Kent Institute Australia.
• Cyriac James (researcher, 2013): During this period, Cyriac did research on the impact that a router implementing energy-aware adaptive link rate policies has on neighboring routers. Some of this work appears in ACM/SPEC ICPE 2015 (pdf). Cyriac was hired as a PhD at University of Calgary (now graduated).
• Vengatanathan Krishnamoorthi (researcher, 2012): During this period, Vengatanathan worked on proxy-assisted HTTP-based adaptive streaming (HAS). The work appeared in IEEE MASCOTS 2013 (pdf) and Vengatanathan continued this work as a PhD student in the group (now graduated).
• Youmna Borghol (visiting PhD internship student, 2011): During her internship Youmna primarily worked on content popularity dynamics of YouTube videos. This work was published at ACM SIGKDD 2012 (pdf). Dr. Borghol is now a Data Analytics Manager at MediaCom, Sydney, Australia.
• Ajay Gopinathan (postdoc, 2011): During his postdoc Ajay worked on spectrum auctions (pdf) and content replica selection (pdf). The replica selection work extends our prior work (e.g., pdf, pdf) to consider optimized caching and request routing in cloud-based content delivery systems; published at IFIP Performance 2014 (pdf). Dr. Gopinathan is now with Google, Mountain View, CA, USA.

External PhD Students

• Raoufehsadat Hashemian (PhD, 2019 @ University of Calgary, Canada): Raoufeh has done some really cool work on multicore Web servers that help improve the utilization of the servers. Joint publications related to her thesis appeared in ACM/SPEC ICPE 2013 (pdf) CCPE 2014 (pdf), ACM/SPEC ICPE 2017 (pdf), IoT 2019 (pdf), ACM/SPEC ICPE 2020 (pdf).
• Benoy Varghese (ongoing PhD @ NICTA, Australia): Benoy's thesis focuses on experiments and modeling of low-power server and proxy systems. Joint publications related to his thesis appeared in IGCC 2014 (pdf).
• Aniket Mahanti (PhD, 2012 @ University of Calgary, Canada): Aniket's thesis characterized the one-click hosting landscape. Joint publications related to his thesis appeared in IFIP Performance 2011 (pdf), IEEE MASCOTS 2012 (pdf), IEEE LCN 2012 (pdf), and IEEE Network (pdf). After graduation, Dr. Mahanti took a job as an Assistant Professor at the University of Auckland, New Zeeland.
• Youmna Borghol (PhD, 2012 @ University of New South Wales, Australia): Youmna's thesis focused on popularity dynamic in YouTube. Joint publications related to her thesis appeared in IFIP Performance 2011 (pdf) and ACM SIGKDD 2012 (pdf). Dr. Borghol is now a Data Analytics Manager at MediaCom, Australia.

Highlighted Students with Final Year Research Project/Assignments

• Elin Thorgren (MSc 2023 @LiU): ACM WebSci 2024
• Hampus Rosenquist (MSc 2023 @LiU): PAM 2024
• David Cerenius, Martin Kaller(BSc 2023 @LiU): PAM 2024
• William Holmgren, Martin Christensson (MSc 2022 @LiU): IEEE/ACM ASONAM 2023
• Carl Magnus Bruhner (BSc 2020 @LiU, MSc 2022 @LiU): Carl Magnus won 2x best thesis awards, first for his BSc (2020) and then for his MSc (2022). Based on Carl Magnus BSc thesis, written with Oscar Linnarson (below), we published a paper at PAM 2022, and based on his MSc thesis we published a paper at MADWeb 2023 @ NDSS 2023. The later of these papers also won the best paper runner-up award. Carl Magnus is now a PhD student in the group.
• Jacob Wahlman (MSc 2022 @Nosdaq): IEEE PST 2023
• Elsa Kihlberg Gawell, Axel Karlstrom (BSc 2022 @LiU): IEEE TMA 2023
• Ludvig Bolin, Emil Carlsson, Adam Hylander, Martin Larsson, Erik Voldstad (3x BSc 2022 @LiU): IFIP Networking 2023
• Carl Terve, Mattias Erlingsson (BSc 2021 @ LiU): SNAMS 2022
• Martin Lindblom (BSc 2019, MSc 2021 @LiU): Together with Oscar Jarpehult (below), Martin studied link shortener usage on Twitter (TMA 2021) during his BSc. During his MSc, he implemented and evaluated a lightweight fingerprint attack and encrypted traffic analysis on news articles (IFIP Networking 2022). The later paper also won the best paper award at IFIP Networking 2022.
• Oscar Jarpehult (BSc 2019, MSc 2021 @LiU): Together with Martin Lindblom (above), Oscar first studied link shortener usage on Twitter (TMA 2021) during his BSc. Second, during his MSc, he performed a longitudinal characterization of the third-party authentication landscape (IFIP Networking 2022) together with Fredrik Josefsson Agren (below).
• Fredrik Josefsson Agren (MSc 2021 @LiU): Together with Oscar Jarpehult (above), Fredrik performed a longitudinal characterization of the third-party authentication landscape (IFIP Networking 2022).
• Adam Halim, Max Danielsson (BSc 2020 @LiU): WTMC @ IEEE EuroS&P
• Oscar Linnarsson (BSc 2020 @LiU): Together with Carl Magnus Bruhner PAM 2022 + best thesis award.
• Sofia Bertmar, Johanna Gerhardsen, Alice Ekblad, Anna Hoglund, Julia Mineur, Isabell Oknegard Enavall (3x BSc 2021): WPES 2021
• Albin Vogel, Erik Kronberg (BSc 2020 @LiU): Implemented and studied fast-forwarding, rewinding, and path exploration in interactive branched video streaming (ACM Multimedia 2022)
• Eric Lindskog (BSc 2018 @ LiU, MSc 2020 @LiU): During his BSc, Eric (together with Jesper Wrang) implemented and evaluated a brached video playback bar in dash.js. An extension of this work was published and presented at ACM Multimedia 2019 (pdf). During his MSc, Eric implemented REEFT-360 (Real-time Emulation and Evaluation Framework for Tile-based 360 Streaming) that was published in ACM MMSys 2021 (pdf).
• Mathilda Mostrom, Alexander Edberg (BSc, 2020 @ LiU): TMA 2021
• Sebastian Flinck Lindstrom, Markus Wetterberg (BSc, 2020 @ LiU): Sebastian and Markus studied the impact of the quality of service (QoS) factors most affecting the players' quality of experience (QoE) and in-game performance during single-player and multiplayer cloud gaming. After a summer internship, an extension of this work was published and presented at IEEE/ACM UCC 2020 (pdf).
• David Hasselquist, Christoffer Lindstrom (MSc, 2020 @ Ericsson): David and Christoffer studied the how the QUIC performance is affected by different Dual Connectivity (DC) parameters, network conditions, and whether the DC implementation aims to improve throughput or reliability. The work was published at the IEEE MASCOTS 2020 workshop (pdf) and was awarded the best thesis award. Another joint work with David was published at the same venue (pdf). David is now a PhD student in the group.
• Daniel Persson Proos (MSc, 2019 @ Scania): Daniel's thesis presented a performance comparison of messaging protocols and serialization formats for digital twins. This work was published and presented at IFIP Networking 2020 (pdf).
• Madeleine Backstrom, Linn Hallonqvist (BSc, 2019 @ LiU): Madeleine and Linn performed a three-phase user study of the value of a brached video playback bar and its features. An extension of this work was published and presented at ACM Multimedia 2019 (pdf). Madeleine and Linn also contributed to our IFIP Networking 2022 paper (pdf) on third-party authentication.
• Per Lindstrom (BSc, 2019 @ Signality): Per used implemented and evaluated an imitation learning method using recurrent neural networks, which he used to learn individual soccer players' behavior and to perform rollouts of player movements on previously unseen play sequences. An extension of his work was published and presented at MLSA @ECML/PKDD 2019 (pdf).
• Jesper Wrang (BSc, 2018 @ LiU): Together with Eric Lindskog (see above) Jesper implemented and evaluated a brached video playback bar in dash.js. An extension of this work was published and presented at ACM Multimedia 2019 (pdf).
• Edward Nsolo (MSc, 2018 @ LiU): Edward use various machine learning algorithms to compare and contrast which attributes and skills best predict the success of individual soccer players. An extension of his work was published and presented at MLSA @ECML/PKDD 2018 (pdf).
• Eric Henziger (MSc, 2018 @ LiU): Eric characterized the overheads associated with using client-side encryption (CSE) in cloud storage systems. His work (including extensions) was published and presented at IEEE/ACM UCC 2019 (pdf) and IEEE CloudCom 2019 (pdf). The first of these two papers was one of three papers nominated for the best paper award at IEEE/ACM UCC 2019.
• Erik Arestrom (MSc, 2018 @ Ericsson): Erik presented a framework for traffic classification of encrypted traffic, which combines multi-fractal feature extraction, principal component analysis (PCA) based feature selection, and man-in-the-middle (MITM) based flow labeling. His work was published at the IEEE INFOCOM 2019 workshop on Intelligent Cloud Computing and Networking (pdf).
• Gustav Aaro, Daniel Roos (BSc, 2018 @ LiU): Gustav and Daniel implemented and evaluated a methodology and software tool for generating run-time datasets capturing a user's interactions with 3D environments. An extension of this work was published and presented at the IEEE MASCOTS 2020 workshop (pdf).
• Jesper Holmstrom, Daniel Jonsson, Linnea Lundstrom, Sebastian Ragnarsson (BSc, 2017 @ LiU): Jesper and Daniel built a measurement framework for longitudinal analysis of the spreading of news on Twitter, and analyzed the collected dataset. Linnea and Sebastian analyzed the spread as seen in related datasets. An extension of their works was published and presented at ACM/IEEE ASONAM 2019 (pdf).
• Mathias Almquist, Viktor Almquist (MSc, 2017 @ LiU): Mathias and Viktor designed and performed a 360-degree video streaming study. An extension of this work is published and presented at ACM MMSys 2018 (pdf). Here, we characterize and analyze the prefetch aggressiveness tradeoff in 360 video streaming, using both measurements and an optimization framework.
• Filip Polbratt, Olav Nilsson (BSc, 2017 @ LiU): Filip and Olav built a measurement framework for longitudinal analysis of the spreading of fake news on Twitter. An extension of this work was published and presented at ACM/IEEE ASONAM 2019 (pdf).
• Carl Nykvist, Linus Sjöström (BSc, 2017 @ LiU): Carl and Linus used measurements to characterize the server-side adoption of Certificate Transparency (CT). An extension of this work was published and presented at PAM 2018 (pdf).
• Josef Gustafsson (MSc, 2016 @ NORDUnet): Josef implemented a Certificate Transparency (CT) monitor and characterized the emerging CT landscape. An extension of this work was published and presented at PAM 2017 (pdf). Here, we provide the first large-scale characterization of the CT landscape. Other joint work with Josef have been published at IEEE ICC 2017 (pdf) and PAM 2018 (pdf).
• Georgios Rizothanasis (MSc, 2015 @ LiU): George developed timing-based techniques to identify user actions from within the large amount of HTTP(S) traffic (dominated by requests not explicitly made by the clients) seen in modern networks. The performance was evaluated within a rigorous and automated evaluation framework that he also developed. This work is presented at IEEE LCN 2016 (pdf).
• Joel Purra (MSc, 2015 @ .SE): Joel developed a measurement methodology and performed analysis of the third-party tracking usage. His IEEE LCN 2016 (pdf) paper highlights the current state of the third-party tracking landscape, including differences across tracking service classes, domain categories, and the organizations that owns the tracker services.
• Tova Linder, Pontus Persson, Anton Forsberg and Jakob Danielsson (BSc, 2015 @ LiU): Tova and Pontus characterized the bandwidth variations observed in measurements from Bredbandskollen (the most popular speedtest service in Sweden) and evaluated the prediction accuracy that such crowd-sourced datasets can provide. Anton and Jacob evaluated the performance improvements that such predictions can provide mobile clients. This work appears at IEEE/IFIP WONS 2016 (pdf).
• Alberto García Estévez (BSc, 2013 @ LiU): Alberto designed, implemented, and evaluated a geo-smart scheduler and a geo-location-aware emulation framework for performance evaluation of mobile applications. This work appears at IEEE/IFIP WONS 2014 (pdf).
• M. Aminul Islam (MSc, 2013 @ University of Saskatchewan, Canada): Aminul characterized and modelled popularity dynamics of user-generated content. This work appears at IEEE MASCOTS 2013 (pdf).
• Patrik Bergström (BSc, 2012 @ LiU): Patrik implemented a novel proof-of-concept HAS-based player for nonlinear multipath video streaming. This work later received the best paper award at the ACM SIGCOMM workshop FhMN 2013 (pdf).
• Song Zhang (MSc, 2011 @ University of Calgary, Canada): Song's thesis experimentally validates some of our works on dynamic bundling in peer-to-peer systems (pdf). Joint works appeared in IEEE IWQoS 2010 (pdf) and IEEE LCN 2012 (pdf).
• Siddharth Mitra (MTech, 2010 @ IIT Dehli, India): Siddharth characterized the popularity dynamics in YouTube. His thesis won a best thesis award at IIT Dehli and joint works where published in ACM Transactions on the Web (pdf), and IFIP Performance 2011 (pdf).
• Trinabh Gupta and Sanchit Garg (BTech, 2009 @ IIT Dehli, India): Trinabh and Sanchit characterized the evolution of a social aggregation network. Their thesis won a best thesis award at IIT Dehli and joint publications appeared in ACM IMC 2009 (pdf) and AAAI ICWSM 2009 (pdf). Trinabh later did his PhD at University of Texas at Austin and is now a faculty member at University of California Santa Barbara (UCSB).

Some ongoing MSc/BSc thesis projects

Examiner and/or Thesis Committee

• Rasmus Dahlberg (PhD, 2023) @ Karlstad University, Karlstad, Sweden
• Klervie Tocze (Lic, 2020) @ Linkoping University, Linkoping, Sweden
• Linus Akesson (Lic, 2016) @ Lund University, Lund, Sweden
• Manfred Dellkrantz (Lic, 2016) @ Lund University, Lund, Sweden
• Ekhiotz Jon Vergara (PhD, 2016) @ Linkoping University, Linkoping, Sweden
• Ahmed Ali-Eldin (PhD, 2015) @ Umea University, Umea, Sweden
• Adele Lu Jia (PhD, 2013) @ Delft University of Technology, Delft, the Netherlands
• Tomas Kupka (PhD, 2013) @ Simula and University of Oslo, Oslo, Norway

Future Students

• Topics: Potential topics include, but are not limited to: content distribution, future streaming services (including HAS/DASH, VR, AR, mixed reality), popularity dynamics, network security, social networking, performance/systems modeling, measurements/characterization, and data mining/analysis. Much of my ongoing research contributes towards providing inovative and effective ways to disseminate content and information for tomorrow's society. There are of course many other candidate topics, which I would be happy to discuss in person. You can also find some recent research papers on my website.
• Methodologies: We will always try to use the best tools for the problem at hand. Our research include a combination of measurements, data analysis/mining, applied statistics, analytic modeling, optimization, simulations, system implementation and design, as well as real-world experiments. We are looking for ambitious students interested in applying one or more of these methodologies to improve and better understand systems.

• PhD Candidates ("doktorander", in Swedish) should have a MSc degree in Computer Science, Engineering, or other related discipline. While a strong background in mathematics is a plus, this is not a requirement. (See description of methodologies above.) The primary requirement for these positions is that you have a genuine interest in learning, discovering, and carefully exploring new things, and have the ambition doing high-quality research. PhD candidates are employed with a monthly salary.
• Masters Thesis: There are thesis projects available for students interested in any of the above topics or methodologies. (Particularly strong or hardworking masters students can be accepted/promoted into the PhD program.)
• Bachelor Thesis: There are some thesis projects available for ambitious students.

Example Projects for BSc/MSc Thesis

Below are some very brief example announcements for project we are hoping to find people.

Data mining project on Content Popularity Dynamics This thesis would involve follow up work on our ACM KDD 2012 (pdf) paper, and would involve both data collection and analysis of datasets.

Multimedia project on Branched Video Streaming This thesis would involve follow up work on our ACM SIGCOMM FhMN best paper award (pdf) paper and our ACM MM 2014 (pdf) paper. For this project, preference would be given to a student that is good at ActionScript 3.0 (based on javaScript 2.0) or that is a strong programmer so that he/she quickly can grasp the code/language.

Some other example projects Hockey interested and interested in data mining (or statistics)? If this sounds like you please contact me. We have the perfect project for you!! We also have other data mining and/or data analysis oriented projects. Interested in learning about the weaknesses of SSL and Web security? There is a very interesting project for you! We also have a number of other security-related projects. Interested in analytic modeling or mathematics? This may be a great opportunity to apply those skills to better understand how systems, networks, and/or services work and should best be designed. We are looking for a student to help in the design and implementation of a Planetlab demonstrator and teaching tools.