A database for publications published by researchers and students at SimulaMet.
Research area
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- Journal articles (127)
- Books (5)
- Edited books (2)
- Proceedings, refereed (137)
- Book chapters (4)
- Talks, keynote (11)
- PhD theses (4)
- Proceedings, non-refereed (15)
- Posters (5)
- Technical reports (12)
- Talks, invited (145)
- Talks, contributed (14)
- Public outreach (48)
- Miscellaneous (11)
Journal articles
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 |
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 |
Proceedings, refereed
On the realization of Cloud-RAN on Mobile Edge Computing
In International Conference on Advanced Information Networking and Applications (AINA-2023). 655th ed. Vol. 3. Lecture Notes in Networks and Systems: Springer, 2023.Status: Published
On the realization of Cloud-RAN on Mobile Edge Computing
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | International Conference on Advanced Information Networking and Applications (AINA-2023) |
Volume | 3 |
Edition | 655 |
Date Published | 03/2023 |
Publisher | Springer |
Place Published | Lecture Notes in Networks and Systems |
ISBN Number | 978-3-031-28693-3 |
PRINCIPIA: Opportunistic CPU and CPU-shares Allocation for Containerized Virtualization in Mobile Edge Computing
In IEEE/IFIP Network Operations and Management Symposium. IEEE, 2023.Status: Accepted
PRINCIPIA: Opportunistic CPU and CPU-shares Allocation for Containerized Virtualization in Mobile Edge Computing
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Proceedings, refereed |
Year of Publication | 2023 |
Conference Name | IEEE/IFIP Network Operations and Management Symposium |
Publisher | IEEE |
Book chapters
5G-sikkerhet: Norge mellom stormaktene
In Digitalisering og internasjonal politikk. Universitetsforlaget, 2022.Status: Published
5G-sikkerhet: Norge mellom stormaktene
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications, GAIA |
Publication Type | Book Chapter |
Year of Publication | 2022 |
Book Title | Digitalisering og internasjonal politikk |
Chapter | 7 |
Date Published | 01/2022 |
Publisher | Universitetsforlaget |
ISBN Number | 9788215052557 |
Edited books
Smittestopp − A Case Study on Digital Contact Tracing
In Simula SpringerBriefs on Computing. Vol. 11. Cham: Springer Nature, 2022.Status: Published
Smittestopp − A Case Study on Digital Contact Tracing
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications |
Publication Type | Edited books |
Year of Publication | 2022 |
Secondary Title | Simula SpringerBriefs on Computing |
Volume | 11 |
Number of pages in book | 141 |
Date Published | 06/2022 |
Publisher | Springer Nature |
Place Published | Cham |
ISBN Number | 978-3-031-05466-2 |
URL | https://link.springer.com/book/10.1007/978-3-031-05466-2#bibliographic-i... |
DOI | 10.1007/978-3-031-05466-2 |
Journal articles
Secure Embedded Living: Towards a Self-contained User Data Preserving Framework
IEEE Communications Magazine 60, no. 11 (2022): 74-80.Status: Published
Secure Embedded Living: Towards a Self-contained User Data Preserving Framework
Smart living represents the hardware-software co-inhabiting with humans for better living standards and improved well-being. Here, hardware monitors human activities (by collecting data) specific to a context. Such data can be processed to offer context-specific valuable insights. Such insights can be used for optimising the well-being, living experience and energy cost of smart homes. This paper proposes a Secure Embedded Living Framework (SELF) that enforces a privacy-preserving data control mechanism by integrating multiple technologies, such as Internet-of-thing, cloud/fog platform, machine learning and blockchain. The primary aim of the SELF is to allow the user to retain more control of its data.
Afilliation | Communication Systems |
Project(s) | Simula Metropolitan Center for Digital Engineering, Simula Metropolitan Center for Digital Engineering, NorNet, SMIL: SimulaMet Interoperability Lab, GAIA, The Center for Resilient Networks and Applications |
Publication Type | Journal Article |
Year of Publication | 2022 |
Journal | IEEE Communications Magazine |
Volume | 60 |
Issue | 11 |
Pagination | 74–80 |
Date Published | 11/2022 |
Publisher | IEEE |
ISSN | 0163-6804 |
Keywords | blockchain, Cloud, Data, IoTs, Security, User |
DOI | 10.1109/MCOM.001.2200165 |
Investigating Predictive Model-Based Control to Achieve Reliable Consistent Multipath mmWave Communication
Computer Communications 194 (2022): 29-43.Status: Published
Investigating Predictive Model-Based Control to Achieve Reliable Consistent Multipath mmWave Communication
Millimeter-wave (mmWave) radio is a key building block in 5G and beyond cellular networks. However, mmWave channels are very sensitive to environmental conditions and depend on Line-of-Sight connections to provide very high data rates. Achieving reliable, consistent communication — i.e., a steady link rate together with low delay — over mmWave links is therefore a challenging problem. The goal of this work is to explore the use of predictive control to manage and simultaneously use multiple available mmWave paths to achieve reliable consistent communication by means of a multipath proxy. We investigate transient solutions of Markov Modulated Fluid Queues (MMFQ) to model the short-term evolution of the proxy’s packet queue, consistent with the use of Markovian models to capture the behavior of mmWave channel blocking. We propose a combination of models that can be solved using newly proposed matrix-analytic techniques in a timely enough manner for use in real-time control. This gives us a prediction, over a short time horizon, of either proxy queue distributions or probabilities of reaching particular proxy buffer levels. Thus, it enables the proxy to make preemptive path decisions in order to maintain a desired Quality of Service. A proof-of-concept simulation study demonstrates the efficacy of our proposed MMFQ-based predictive approach over both static and purely reactive control approaches. Further, we explore the potential benefits of a hybrid approach to path management, combining both predictive and reactive control. This can allow the controller to cater for unforeseen events that cannot be forecast by the predictive controller, mitigating the resulting extra queuing and corresponding delay spikes.
Afilliation | Communication Systems |
Project(s) | The Center for Resilient Networks and Applications, Department of Mobile Systems and Analytics |
Publication Type | Journal Article |
Year of Publication | 2022 |
Journal | Computer Communications |
Volume | 194 |
Pagination | 29-43 |
Date Published | 10/2022 |
Publisher | Elsevier |
Keywords | 5G/6G/+, mmWave, Mobile networks, Multipath, Proxy |
URL | https://www.sciencedirect.com/science/article/pii/S0140366422002596 |
DOI | 10.1016/j.comcom.2022.07.011 |