A database for publications published by researchers and students at SimulaMet.
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- All (601) Remove All <span class="counter">(601)</span> filter
- Journal articles (139)
- Books (5)
- Proceedings, refereed (193)
- Book chapters (4)
- Talks, keynote (16)
- PhD theses (1)
- Proceedings, non-refereed (16)
- Posters (6)
- Technical reports (11)
- Talks, invited (150)
- Talks, contributed (11)
- Public outreach (41)
- Miscellaneous (8)
Proceedings, refereed
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
In 27th International Conference on Multimedia Modeling. MediaEval 2020, 2021.Status: Published
Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy
| Afilliation | Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2021 |
| Conference Name | 27th International Conference on Multimedia Modeling |
| Publisher | MediaEval 2020 |
Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept
In Proceedings of the 2nd International Workshop on Recent Advances for Multi-Clouds and Mobile Edge Computing (M2EC) in conjunction with the 35th International Conference on Advanced Information Networking and Applications (AINA). Toronto, Ontario/Canada: Springer, 2021.Status: Accepted
Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept
In recent times, mobile broadband devices have become almost ubiquitous. However, battery-powered devices (such as smartphones), have limitations on energy consumption, computation power and storage space. Cloud computing, and in particular with the upcoming 5G networks, Mobile Edge Computing (MEC) can provide compute and storage services at the vicinity of the user (with a low communication latency). However, the complexity lies in how to simply and efficiently realise MEC services, with the auxiliary public (multi-)cloud resources? In this paper, we propose a proof-of-concept of using Reliable Server Pooling (RSerPool) as a light-weight layer of managing resource pools and handling application sessions with these pools. Our approach is simple, efficient, has low overhead and is available as open-source. Here, we demonstrate the usefulness of our approach by measuring in a test setup, with a 4G testbed connected to MEC and public multi-cloud resources.
| Afilliation | Communication Systems |
| Project(s) | NorNet, The Center for Resilient Networks and Applications, SMIL: SimulaMet Interoperability Lab, 5G-VINNI: 5G Verticals INNovation Infrastructure , Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, MELODIC: Multi-cloud Execution-ware for Large-scale Optimised Data-Intensive Computing |
| Publication Type | Proceedings, refereed |
| Year of Publication | 2021 |
| Conference Name | Proceedings of the 2nd International Workshop on Recent Advances for Multi-Clouds and Mobile Edge Computing (M2EC) in conjunction with the 35th International Conference on Advanced Information Networking and Applications (AINA) |
| Publisher | Springer |
| Place Published | Toronto, Ontario/Canada |
| Keywords | 5G, Evolved Packet Core (EPC), Mobile Edge Computing (MEC), Multi-Cloud Computing, Network Function Virtualisation (NFV), Reliable Server Pooling (RSerPool) |
Talks, keynote
NorNet at Hainan University in 2021: From Simulations to Real-World Internet Measurements for Multi-Path Transport Research — A Remote Presentation
In Haikou, Hainan/People's Republic of China. Haikou, Hainan/People's Republic of China, 2021.Status: Published
NorNet at Hainan University in 2021: From Simulations to Real-World Internet Measurements for Multi-Path Transport Research — A Remote Presentation
A large fraction of the communication in the Internet is handled by the Transmission Control Protocol (TCP). Since the first deployments of this protocol more than 30 years ago, the spectrum of applications as well as the structure of the network have developed at a fast pace. For example, today's network devices, like smartphones and laptops — i.e. particularly many devices in the area of mobile computing — frequently have an interesting property: the existence of multiple IP addresses (IPv4 and/or IPv6). The addresses may even change due to mobility. This property, denoted as multi-homing, can be utilised for multi-path transport, i.e. the simultaneous usage of multiple paths in the network to improve performance. Multi-path transport is a hot topic in the Internet Engineering Task Force (IETF), which is the standardisation organisation for the Internet. This talk provides an overview of the work in the areas of multi-homing and multi-path transport, with focus on the area of the protocols TCP and Stream Control Transmission Protocol (SCTP) with their experimental extensions Multi-Path TCP (MPTCP) and Concurrent Multi-Path Transfer for SCTP (CMT-SCTP). It particularly shows the sequence of research and selected results, beginning from a simple simulation model, via lab setups and small Internet scenarios, up to the large-scale, international testbed project NorNet. NorNet, and particularly its landline network part NorNet Core, is furthermore described in some detail. Based on NorNet, it is finally possible to validate simulation results in real-world, multi-homed networks, in order to provide valuable input to the ongoing IETF standardisation processes of MPTCP and CMT-SCTP. Particularly, it will also show how the NorNet testbed can be utilised for research at Hainan University in 2021.
| Afilliation | Communication Systems |
| Project(s) | NorNet, The Center for Resilient Networks and Applications, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, SMIL: SimulaMet Interoperability Lab |
| Publication Type | Talk, keynote |
| Year of Publication | 2021 |
| Location of Talk | Haikou, Hainan/People's Republic of China |
| Date Published | 01/2021 |
| Place Published | Haikou, Hainan/People's Republic of China |
| Keywords | Introduction, Multi-Homing, NorNet, NorNet Core, NorNet Edge, Status, Testbed |
Talks, invited
NorNet at Hainan University in 2021: Getting Started with NorNet Core — A Remote Tutorial
In Haikou, Hainan/People's Republic of China. Haikou, Hainan/People's Republic of China, 2021.Status: Published
NorNet at Hainan University in 2021: Getting Started with NorNet Core — A Remote Tutorial
This tutorial — presented for students at the College of Information Science and Technology (CIST) at Hainan University — provides an introduction on how to get access to the NorNet Core testbed as well as how to run experiments in the testbed in 2021.
| Afilliation | Communication Systems |
| Project(s) | NorNet, The Center for Resilient Networks and Applications, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, SMIL: SimulaMet Interoperability Lab |
| Publication Type | Talks, invited |
| Year of Publication | 2021 |
| Location of Talk | Haikou, Hainan/People's Republic of China |
| Place Published | Haikou, Hainan/People's Republic of China |
| Keywords | Multi-Homing, Multi-Path Transport, NorNet, NorNet Core, Testbed, Tutorial |
Smittestopp, teknologigiganter og personverndebatt
In Kriminalpolitiet, Oslo, 2021.Status: Published
Smittestopp, teknologigiganter og personverndebatt
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications |
| Publication Type | Talks, invited |
| Year of Publication | 2021 |
| Location of Talk | Kriminalpolitiet, Oslo |
Book chapters
Multilinear Models, Iterative Methods
In Comprehensive Chemometrics (Second Edition), 267-304. Chemical and Biochemical Data Analysis. Elsevier, 2020.Status: Published
Multilinear Models, Iterative Methods
In this section, multilinear models for multi-way arrays requiring iterative fitting algorithms are outlined. Among them: the PARAFAC (PARAllel FACtor analysis) model and one of its variants (the PARAFAC2 model); Tucker models in which one or more modes are reduced (viz., the N-way Tucker-N and Tucker-m models); hybrid models having intermediate properties between PARAFAC and Tucker ones; and coupled matrix and tensor decompositions (CMTF) which simultaneously decomposes multiple tensors. Five examples are included as to illustrate some practical aspects concerning the use of these models on analytical data.
| Afilliation | Machine Learning |
| Project(s) | Department of Machine Intelligence |
| Publication Type | Book Chapter |
| Year of Publication | 2020 |
| Book Title | Comprehensive Chemometrics (Second Edition) |
| Secondary Title | Chemical and Biochemical Data Analysis |
| Pagination | 267-304 |
| Publisher | Elsevier |
| ISBN Number | 978-0-12-409547-2 |
| Keywords | -way Tucker models, CANDECOMP, Curve resolution, Exploratory analysis, Least squares, Linked mode PARAFAC, Multi-way analysis, Multi-way array, Multilinear model, PARAFAC, PARAFAC2, PARALIND, Restricted Tucker models, Tensor decomposition, Tensor-matrix factorization |
| URL | http://www.sciencedirect.com/science/article/pii/B9780124095472146098 |
| DOI | 10.1016/B978-0-12-409547-2.14609-8 |
Journal articles
PoBT: A Light Weight Consensus Algorithm for Scalable IoT Business Blockchain
IEEE Internet of Things Journal 7, no. 3 (2020): 2343-2355.Status: Published
PoBT: A Light Weight Consensus Algorithm for Scalable IoT Business Blockchain
Efficient and smart business processes are heavily dependent on the Internet of Things (IoT) networks, where end-to-end optimization is critical to the success of the whole ecosystem. These systems, including industrial, healthcare, and others, are large scale complex networks of heterogeneous devices. This introduces many security and access control challenges. Blockchain has emerged as an effective solution for addressing several such challenges. However, the basic algorithms used in the business blockchain are not feasible for large scale IoT systems. To make them scalable for IoT, the complex consensus-based security has to be downgraded. In this article, we propose a novel lightweight proof of block and trade (PoBT) consensus algorithm for IoT blockchain and its integration framework. This solution allows the validation of trades as well as blocks with reduced computation time. Also, we present a ledger distribution mechanism to decrease the memory requirements of IoT nodes. The analysis and evaluation of security aspects, computation time, memory, and bandwidth requirements show significant improvement in the performance of the overall system.
| Afilliation | Communication Systems |
| Project(s) | Simula Metropolitan Center for Digital Engineering, The Center for Resilient Networks and Applications |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Journal | IEEE Internet of Things Journal |
| Volume | 7 |
| Issue | 3 |
| Pagination | 2343 - 2355 |
| Publisher | IEEE |
Blockchain Empowered Cooperative Authentication with Data Traceability in Vehicular Edge Computing
IEEE Transactions on Vehicular Technology 69, no. 4 (2020): 4221-4232.Status: Published
Blockchain Empowered Cooperative Authentication with Data Traceability in Vehicular Edge Computing
The dynamic environment due to traffic mobility and wireless communication from/to vehicles make identity authentication and trust management for privacy preservation based on vehicular edge computing (VEC) an increasingly important problem in vehicular networks. However, existing authentication schemes mainly focus on communication between a single trusted edge computing node and multiple vehicles. This framework may suffer the bottleneck problem due to the single edge computing node, and the performance depends heavily on its resources. In this paper, a blockchain empowered group-authentication scheme is proposed for vehicles with decentralized identification based on secret sharing and dynamic proxy mechanism. Sub-authentication results are aggregated for trust management based blockchain to implement collaborative authentication. The edge computing node with a higher-reputation stored in the tamper-proof blockchain can upload the final aggregated authentication result to the central server to achieve the decentralized authentication. This work analyzes typical attacks for this scheme and shows that the proposed scheme achieves cooperative privacy preservation for vehicles while also reducing communication overhead and computation cost.
| Afilliation | Communication Systems |
| Project(s) | Simula Metropolitan Center for Digital Engineering, The Center for Resilient Networks and Applications |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 69 |
| Issue | 4 |
| Pagination | 4221 - 4232 |
| Publisher | IEEE |
Cross-product penalized component analysis (X-CAN)
Chemometrics and Intelligent Laboratory Systems 203 (2020): 104038.Status: Published
Cross-product penalized component analysis (X-CAN)
| Afilliation | Machine Learning |
| Project(s) | Department of Machine Intelligence |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Journal | Chemometrics and Intelligent Laboratory Systems |
| Volume | 203 |
| Pagination | 104038 |
| Date Published | 06/2020 |
| Publisher | Elsevier |
| ISSN | 01697439 |
| DOI | 10.1016/j.chemolab.2020.104038 |
Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions
Frontiers in Applied Mathematics and Statistics 6 (2020).Status: Published
Multi-Linear Population Analysis (MLPA) of LFP Data Using Tensor Decompositions
| Afilliation | Machine Learning |
| Project(s) | Department of Machine Intelligence |
| Publication Type | Journal Article |
| Year of Publication | 2020 |
| Journal | Frontiers in Applied Mathematics and Statistics |
| Volume | 6 |
| Number | 41 |
| Date Published | Aug-09-2020 |
| Publisher | Frontiers |
| Keywords | CANDECOMP/PARAFAC, independent component analysis (ICA), local field potential (LFP), Neuroscience, population rate model, principal component analysis (PCA), tensor decompositions |
| URL | https://www.frontiersin.org/article/10.3389/fams.2020.00041/fullhttps://... |
| DOI | 10.3389/fams.2020.00041 |