A database for publications published by researchers and students at SimulaMet.
Research area
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- Journal articles (133)
- Books (5)
- Edited books (2)
- Proceedings, refereed (149)
- Book chapters (4)
- Talks, keynote (11)
- PhD theses (5)
- Proceedings, non-refereed (15)
- Posters (6)
- Technical reports (13)
- Talks, invited (146)
- Talks, contributed (15)
- Public outreach (48)
- Miscellaneous (12)
Journal articles
Finding shortest and nearly shortest path nodes in large substantially incomplete networks by hyperbolic mapping
Nature Communications 14 (2023).Status: Published
Finding shortest and nearly shortest path nodes in large substantially incomplete networks by hyperbolic mapping
<p>Dynamic processes on networks, be it information transfer in the Internet, contagious spreading in a social network, or neural signaling, take place along shortest or nearly shortest paths. Computing shortest paths is a straightforward task when the network of interest is fully known, and there are a plethora of computational algorithms for this purpose. Unfortunately, our maps of most large networks are substantially incomplete due to either the highly dynamic nature of networks, or high cost of network measurements, or both, rendering traditional path finding methods inefficient. We find that shortest paths in large real networks, such as the network of protein-protein interactions and the Internet at the autonomous system level, are not random but are organized according to latent-geometric rules. If nodes of these networks are mapped to points in latent hyperbolic spaces, shortest paths in them align along geodesic curves connecting endpoint nodes. We find that this alignment is sufficiently strong to allow for the identification of shortest path nodes even in the case of substantially incomplete networks, where numbers of missing links exceed those of observable links. We demonstrate the utility of latent-geometric path finding in problems of cellular pathway reconstruction and communication security.</p>
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | Nature Communications |
| Volume | 14 |
| Number | 186 |
| Publisher | Nature |
Live Streaming Technology and Online Child Sexual Exploitation and Abuse - A Scoping Review
Trauma, Violence, & Abuse (2023).Status: Accepted
Live Streaming Technology and Online Child Sexual Exploitation and Abuse - A Scoping Review
Livestreaming of child sexual abuse is an established form of online child sexual exploitation
and abuse. However, only a limited body of research has examined this issue. The Covid-19
pandemic has accelerated internet use and user knowledge of livestreaming services
emphasising the importance of understanding this crime. In this scoping review, existing
literature was brought together through an iterative search of eight databases containing peer-
reviewed journal articles, as well as grey literature. Records were eligible for inclusion if the
primary focus was on livestream technology and online child sexual exploitation and abuse,
the child being defined as eighteen years or younger. Fourteen of the 2,218 records were
selected. The data were charted and divided into four categories: victims, offenders,
legislation, and technology. Limited research, differences in terminology, study design, and
population inclusion criteria present a challenge to drawing general conclusions on the
current state of livestreaming of child sexual abuse. The records show that victims are
predominantly female. The average livestream offender was found to be older than the
average online child sexual abuse offender. Therefore, it is unclear whether the findings are
representative of the global population of livestream offenders. Furthermore, there appears to
be a gap in what the records show on platforms and payment services used and current digital
trends. The lack of a legal definition and privacy considerations pose a challenge to
investigation, detection, and prosecution. The available data allow some insights into a
potentially much larger issue.
| Afilliation | Communication Systems, Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | Trauma, Violence, & Abuse |
| Publisher | SAGE Publications |
Approximate Bayesian Inference Based on Expected Evaluation
Bayesian Analysis 1, no. 1 (2023).Status: Published
Approximate Bayesian Inference Based on Expected Evaluation
Approximate Bayesian computing (ABC) and Bayesian Synthetic likelihood (BSL) are two popular families of methods to evaluate the posterior distribution when the likelihood function is not available or tractable. For existing variants of ABC and BSL, the focus is usually first put on the simulation algorithm, and after that the form of the resulting approximate posterior distribution comes as a consequence of the algorithm. In this paper we turn this around and firstly define a reasonable approximate posterior distribution by studying the distributional properties of the expected discrepancy, or more generally an expected evaluation, with respect to generated samples from the model. The resulting approximate posterior distribution will be on a simple and interpretable form compared to ABC and BSL.
Secondly a Markov chain Monte Carlo (MCMC) algorithm is developed to simulate from the resulting approximate posterior distribution. The algorithm was evaluated on a synthetic data example and on the Stepping Stone population genetics model, demonstrating that the proposed scheme has real world applicability. The algorithm demonstrates competitive results with the BSL and sequential Monte Carlo ABC algorithms, but is outperformed by the ABC MCMC.
| Afilliation | Communication Systems, Machine Learning |
| Project(s) | Department of Holistic Systems |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | Bayesian Analysis |
| Volume | 1 |
| Issue | 1 |
| Date Published | Jan-01-2023 |
| Publisher | Project euclid |
| URL | https://projecteuclid.org/journals/bayesian-analysis/volume--1/issue--1/... |
| DOI | 10.1214/23-BA1368 |
Towards a Lightweight Task Scheduling Framework for Cloud and Edge Platform
Internet of Things; Engineering Cyber Physical Human Systems (2023).Status: Accepted
Towards a Lightweight Task Scheduling Framework for Cloud and Edge Platform
Mobile devices are becoming ubiquitous in our daily lives, but they have limited computational capacity. Thanks to the advancement in the network infrastructure, task offloading from resource-constrained devices to the near edge and the cloud becomes possible and advantageous. Complete task offloading is now possible to almost limitless computing resources of public cloud platforms. Generally, the edge computing resources support latency-sensitive applications with limited computing resources, while the cloud supports latency-tolerant applications. This paper proposes one lightweight task-scheduling framework from cloud service provider perspective, for applications using both cloud and edge platforms. Here, the challenge is using edge and cloud resources efficiently when necessary. Such decisions have to be made quickly, with a small management overhead. Our framework aims at solving two research questions. They are: i) How to distribute tasks to the edge resource pools and multi-clouds? ii) How to manage these resource pools effectively with low overheads? To answer these two questions, we examine the performance of our proposed framework based on Reliable Server Pooling (RSerPool). We have shown via simulations that RSerPool, with the correct usage and configuration of pool member selection policies, can accomplish the cloud/edge setup resource selection task with a small overhead.
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, NorNet, SMIL: SimulaMet Interoperability Lab |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | Internet of Things; Engineering Cyber Physical Human Systems |
| Publisher | Elsevier |
| Keywords | Cloud computing, Edge Computing, Reliable Server Pooling (RSerPool), Resource Pools, Task Scheduling |
Proxy Path Scheduling and Erasure Reconstruction for Low Delay mmWave Communication
IEEE Communications Letters 27, no. 6 (2023): 1649-1653.Status: Published
Proxy Path Scheduling and Erasure Reconstruction for Low Delay mmWave Communication
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications, Information Theory Section |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | IEEE Communications Letters |
| Volume | 27 |
| Issue | 6 |
| Pagination | 1649-1653 |
| Date Published | 06/2023 |
| Publisher | IEEE |
| ISSN | 1558-2558 |
| Keywords | erasure reconstruction, mmWave, Multipath scheduling |
| URL | https://ieeexplore.ieee.org/document/10107383 |
| DOI | 10.1109/LCOMM.2023.3269526 |
Opportunistic CPU sharing in Mobile Edge Computing deploying the Cloud-RAN
IEEE Transactions on Network and Service Management (2023).Status: Accepted
Opportunistic CPU sharing in Mobile Edge Computing deploying the Cloud-RAN
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications, SMIL: SimulaMet Interoperability Lab |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | IEEE Transactions on Network and Service Management |
| Publisher | IEEE |
| Keywords | Cloud-RAN, Containers, Mobile edge computing, resource management |
| DOI | 10.1109/TNSM.2023.3304067 |
Opportunistic CPU Sharing in Mobile Edge Computing Deploying the Cloud-RAN
IEEE Transactions on Network and Service Management (2023): 1.Status: Published
Opportunistic CPU Sharing in Mobile Edge Computing Deploying the Cloud-RAN
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications, SMIL: SimulaMet Interoperability Lab |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | IEEE Transactions on Network and Service Management |
| Pagination | 1 - 1 |
| Date Published | september/2023 |
| Publisher | IEEE |
| Place Published | Transactions on Network and Service Management |
| ISSN | 1932-4537 |
| Other Numbers | 2373-7379 |
| URL | https://ieeexplore.ieee.org/document/10214346/http://xplorestaging.ieee.... |
| DOI | 10.1109/TNSM.2023.3304067 |
Network-Aware RF-Energy Harvesting for Designing Energy Efficient IoT Networks
Elsevier Internet of Things 22 (2023).Status: Published
Network-Aware RF-Energy Harvesting for Designing Energy Efficient IoT Networks
| Afilliation | Communication Systems |
| Project(s) | Signal and Information Processing for Intelligent Systems |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | Elsevier Internet of Things |
| Volume | 22 |
| Date Published | 07/2023 |
| Publisher | Elsevier Internet of Things |
| ISSN | 2542-6605 |
| DOI | 10.1016/j.iot.2023.100770 |
Bottleneck Identification in Cloudified Mobile Networks based on Distributed Telemetry
Transactions on Mobile Computing (2023): 1-18.Status: Published
Bottleneck Identification in Cloudified Mobile Networks based on Distributed Telemetry
Cloudified mobile networks are expected to deliver a multitude of services with reduced capital and operating expenses. A characteristic example is 5G networks serving several slices in parallel. Such mobile networks, therefore, need to ensure that the SLAs of customised end-to-end sliced services are met. This requires monitoring the resource usage and characteristics of data flows at the virtualised network core, as well as tracking the performance of the radio interfaces and UEs. A centralised monitoring architecture can not scale to support millions of UEs though. This paper, proposes a 2-stage distributed telemetry framework in which UEs act as early warning sensors. After UEs flag an anomaly, a ML model is activated, at network controller, to attribute the cause of the anomaly. The framework achieves 85% F1-score in detecting anomalies caused by different bottlenecks, and an overall 89% F1-score in attributing these bottlenecks. This accuracy of our distributed framework is similar to that of a centralised monitoring system, but with no overhead of transmitting UE-based telemetry data to the centralised controller. The study also finds that passive in-band network telemetry has the potential to replace active monitoring and can further reduce the overhead of a network monitoring system.
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications, NorNet, SMIL: SimulaMet Interoperability Lab, Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | Transactions on Mobile Computing |
| Pagination | 1–18 |
| Publisher | IEEE |
| ISSN | 1558-0660 |
| Keywords | Anomaly, Bottleneck, classification, congestion, Mobile Cloud Network, Telemetry |
| URL | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10239332 |
| DOI | 10.1109/TMC.2023.3312051 |
LGCC: A Novel High-Throughput and Low Delay Paradigm Shift in Multi-Hop Congestion Control
IEEE/ACM Transactions on Networking (2023): 1-16.Status: Published
LGCC: A Novel High-Throughput and Low Delay Paradigm Shift in Multi-Hop Congestion Control
Technological advancements have provided wireless links with very high data rate capacity for 5G/6G mobile networks and WiFi 6, which will be widely deployed by 2025. However, the capacity can have substantial fluctuations, violating the assumption at the transport layer that the capacity is (almost) steady. In this paper, we present a general and efficient, yet deployable solution to this problem through a novel design empowered with a rich theory, allowing a significantly improved experience in using new technologies, especially mobile cellular services. We employ the well-known theory of food-chain models in biology, where a bottleneck link can be modeled as prey, while flows are predators. We extend this model to a chain of predators and preys to form a multi-hop congestion controller, called LGCC. Through simulation evaluation with real-life 5G traces we show the effectiveness of LGCC, compared with the state-of-the-art ABC (Accel-Brake Control). Our results show an order of magnitude bottleneck queuing delay decrease, with only a small decrease in throughput because LGCC tries to never exceed link capacities. LGCC’s design can additionally open a new paradigm in stable multi-hop congestion control and flow aggregation.
| Afilliation | Communication Systems |
| Project(s) | The Center for Resilient Networks and Applications |
| Publication Type | Journal Article |
| Year of Publication | 2023 |
| Journal | IEEE/ACM Transactions on Networking |
| Pagination | 1-16 |
| Date Published | 08/2023 |
| Publisher | IEEE |
| ISSN | 1558-2566 |
| Keywords | 5G/6G, food chain, logistic growth, Multi-hop congestion control |
| URL | https://ieeexplore.ieee.org/document/10216921 |
| DOI | 10.1109/TNET.2023.3301291 |
