Welcome to the webpage of the FUSÉE Lab at the Department of Software and IT Engineering, ÉTS Montréal (University of Québec). FUSÉE is a research group composed primarily of graduate students, established in 2017 by Dr. Kaiwen Zhang. Our mission is to study and build distributed systems based on five aspects:
- Fast, high-velocity, Big Data processing to achieve online analytics.
- Unified and flexible event-based frameworks for domains such as social networks, Internet of Things, online gaming.
- Scalable distributed systems to handle large volumes of data and users.
- Event processing to support streaming operations such as aggregation, top-k filtering, and complex event detection.
- Event messaging using the publish/subscribe abstraction for decoupled networked interactions.
Practical Blockchain & DLT
Blockchain-based distributed ledger technology (DLT) processes and disseminates transaction events in a decentralized network. Our objective is to achieve the right balance of decentralization, consistency, and scalability to meet the requirements of important domains such as eHealth, IoT, and Smart Grids.
Modern applications (e.g. social networks, sensor networks) require advanced analytics over real-time streams of events. We strive to support these expressive features without compromising performance or scalability by integrating lightweight distributed processing techniques into the publish/subscribe communication substrate.
Networked Game Engines
Networked games require low-latency, reliable, and cheat-resistant communication between players. We aim to develop scalable infrastructures for highly-interactive online games. By leveraging game semantics, such as player profiles and the virtual environment, we can achieve the right trade-off between consistency and performance.
Kaiwen Zhang is an Assistant Professor in the Department of Software and IT Engineering at ÉTS Montréal (University of Québec). Previously, he was an Alexander von Humboldt postdoctoral fellow in Computer Science at the TU Munich (2015-2017) and a member of the Middleware Systems Research Group. Dr. Zhang obtained his B.Sc. and M.Sc. at McGill University in Montréal and his Ph.D. at the University of Toronto. His research interests include blockchain technologies, publish/subscribe systems, massively multiplayer online games, and software-defined networking. Dr. Zhang's expertise lies at the intersection of distributed systems, networking, and data management. His research is published in premier distributed systems conferences such as IEEE ICDCS and ACM Middleware.
- Suhail Kandanur, Ph.D.: Large-Scale Dynamic Graph Processing and Event Notification. Co-supervised with Bettina Kemme.
- Thomas Maketa, Ph.D.: Consent-Driven Remittance over a Blockchain Network. Co-supervised with Alain April.
- Mohammad Reza Rasol Roveicy, Ph.D.: Designing Secure and Efficient Smart Contracts.
- Yahya Shahsavari, Ph.D.: Blockchain Network Simulation. Co-supervised with Chamseddine Talhi.
- Sardar Basiri, M.A.Sc.: Combat-Optimized Network Engine.
- Alaa Eddine Chouchane, M.A.Sc.: Privacy-Compliant Data Collection using Blockchains.
- Ali Dehghanfard, M.A.Sc.: Energy-Efficient Consensus Protocol for Blockchains.
- Gabriel Hardy, M.A.Sc.: Cloud Fabric for DLT.
- Manuel Néro, M.A.Sc.: Blockchain Proof-of-Concept for Electronic Health Records.
- Daniel Sel, M.Sc. (TUM): Data Availability in Scalable Blockchain Systems.
- Joe-Ricardo Solon, M.Eng.: Tracability of Dental Records using DLT.
- Sonia Slimani, M.A.Sc.: Extended Publish/Subscribe Processing.
- (2018) Jelena Pacic, M.Sc. (TUM): EVA - Electrical Vehicle Charging using Blockchains. Github
- (2018) Lyubomir-Leo Stoykov, M.Sc. (TUM): VIBES - Visualizing Interactive Blockchain Extended Simulations. Github
- (2017) Shankar Mohan Sathya, M.Sc. (TUM): Benchmarking Industrial Big Data Systems.
- (2017) Jingyi Wang, M.Sc. (TUM): CSAIM - Combat State-Aware Interest Management.
- (2017) Nejc Zupan, M.Sc. (TUM): HyperPubSub - Federated Publish/Subscribe using Blockchains.
External Participants (Mentoring and Collaborations)
- Vinod Muthusamy, Researcher (IBM T.J. Watson): Expressiveness and QoS in Content-Based Publish/Subscribe.
- Mohammad Sadoghi, Professor (UC Davis): Top-k Processing in Content-Based Publish/Subscribe.
- Tilmann Rabl, Visiting Professor (TUB): PSBench - A Content-Based Publish/Subscribe Benchmarking Suite.
- Jan Adler, Ph.D. (TUM): Materialized Views in Key-Value Stores. Supervised by Hans-Arno Jacobsen.
- César Cañas, Ph.D. (McGill): Publish/Subscribe Network Designs for Multiplayer Games. Supervised by Bettina Kemme.
- Christoph Doblander, Ph.D. (TUM): Shared Dictionary Compression for Content-Based Publish/Subscribe Systems. Supervised by Hans-Arno jacobsen.
- Martin Jergler, Ph.D. (TUM): Transactional Publish/Subscribe Systems. Supervised by Hans-Arno Jacobsen.
- Shweta Khare, Ph.D. (Vanderbilt): Ensuring Low-Latency and Scalable Data Dissemination for Smart-City Applications. Supervised by Aniruddha Gokhale.
- Pezhman Narasifar, Ph.D. (TUM): Scalability in Permissioned Blockchains. Supervised by Hans-Arno Jacobsen.
- Navneet Kumar Pandey, Ph.D. (UiO): Aggregation in Content-Based Publish/Subscribe. Supervised by Roman Vitenberg.
- Pooya Salehi, Ph.D. (TUM): Reliable Content-Based Publish/Suscribe Systems. Supervised by Hans-Arno Jacobsen.
- Eric Zhang, M.Sc. (UofT): BlockPub: Realizing Peer-to-Peer Content Delivery with Monetary Incentives. Supervised by Hans-Arno Jacobsen.
Full publication list @ Espace ÉTS
Deconstructing Blockchains: Concepts, Systems, and Insights.
Kaiwen Zhang, Roman Vitenberg, Hans-Arno Jacobsen. ACM DEBS 2018. Slides: Part 1, Part 2.
Multi-client Transactions in Distributed Publish/Subscribe Systems.
Martin Jergler, Kaiwen Zhang, Hans-Arno Jacobsen. IEEE ICDCS 2018. Acceptance rate: 20.0%.
Towards Dependable, Scalable, and Pervasive Distributed Ledgers with Blockchains.
Kaiwen Zhang, Hans-Arno Jacobsen. IEEE ICDCS 2018. Slides: PDF.
PopSub: Improving Resource Utilization in Distributed Content-based Publish/Subscribe Systems.
Pooya Salehi, Kaiwen Zhang, Hans-Arno Jacobsen. ACM DEBS 2017. Acceptance rate: 23.0%.
Incremental Topology Transformation for Publish/Subscribe Systems Using Integer Programming.
Pooya Salehi, Kaiwen Zhang, Hans-Arno Jacobsen. IEEE ICDCS 2017. Acceptance rate: 16.9%.
Efficient covering for top-k filtering in content-based publish/subscribe systems.
Kaiwen Zhang, Mohammad Sadoghi, Vinod Muthusamy, Hans-Arno Jacobsen. ACM Middleware 2017. Acceptance rate: 24.0%.
Shared dictionary compression in publish/subscribe systems.
Christoph Doblander, Tanuj Ghinaiya, Kaiwen Zhang, Hans-Arno Jacobsen. ACM DEBS 2016.
Minimizing the Communication Cost of Aggregation in Publish/Subscribe Systems.
Navneet Kumar Pandey, Kaiwen Zhang, Stéphane Weiss, Hans-Arno Jacobsen, and Roman Vitenberg. IEEE ICDCS 2015. Acceptance rate: 13.0%.
Publish/Subscribe Network Designs for Multiplayer Games.
César Cañas, Kaiwen Zhang, Bettina Kemme, Jörg Kienzle, and Hans-Arno Jacobsen. ACM Middleware 2014. Acceptance rate: 18.75%.
Distributed Event Aggregation for Content-based Publish/Subscribe Systems.
Navneet Kumar Pandey, Kaiwen Zhang, Stéphane Weiss, Hans-Arno Jacobsen, and Roman Vitenberg. ACM DEBS 2014. Acceptance rate: 9.0%.
Distributed Ranked Data Dissemination in Social Networks.
Kaiwen Zhang, Mohammad Sadoghi, Vinod Muthusamy, and Hans-Arno Jacobsen. IEEE ICDCS 2013. Acceptance rate: 13.0%.
Total Order in Content-based Publish/Subscribe Systems.
Kaiwen Zhang, Vinod Muthusamy, and Hans-Arno Jacobsen. IEEE ICDCS 2012. Acceptance rate: 13.0%.
Transaction Models for Massively Multiplayer Online Games.
Kaiwen Zhang, Bettina Kemme. IEEE SRDS 2011. Acceptance rate: 34.0%
- PC Member and Session Chair for IEEE ICDCS 2018.
- PC Member and Session Chair for ACM DEBS 2017-18.
- Doctor Symposium Co-chair for ACM DEBS 2018.
- Posters & Demos Co-Chair for ACM DEBS 2017.
- PC Member for SERIAL 2018.
- PC Member for BigStream 2018.
- Co-Chair for "Events Meet Processes" Workshop, DEBS 2017, 2018.
- Publicity Chair for Active Workshop, ICDE 2017, Middleware 2017.
- Reviewer for IEEE TPDS, IEEE TSC, Elsevier Journals.
We are looking for highly motivated students interested in systems research. Our research focuses mostly on industrial use cases, formulating theoretical problems based on practical applications, designing and implementing solutions, and evaluating them in a system testbed. Note that while classes are given in French at ÉTS, it is possible to conduct research and write the thesis in English or French. Classes may also be taken at other universities. For more information on the graduate programs, please consult the ÉTS website. If interested, please send your CV and a statement of research interests to Dr. Kaiwen Zhang.
- Current focus on industrial blockchain research. Candidates should be eager to learn blockchain-related concepts and programming. Projects involve design and coding of smart contracts, testing and evaluation on open-source blockchain platforms.
- General position openings: PDF.