scholarly journals A Peer-to-Peer Architecture for Distributed Data Monetization in Fog Computing Scenarios

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Francisco de la Vega ◽  
Javier Soriano ◽  
Miguel Jimenez ◽  
David Lizcano

Modern IoT deployments do require considerable investments that might only be justified if the data being gathered could be monetized, which leads to the need for a digital data marketplace. In many cases, the provider of the IoT data needs to process it locally for data curation, aggregation, stream processing, etc. At the same time, the consumer could be interested in nearby data. This scenario resembles a fog computing architecture where companies require being able, keeping data under their control, to securely make it available to other companies in a peer-to-peer fashion, without needing a cloud intermediary (like traditional marketplaces do), thus maximizing the locality of the processing and avoiding the existence of a bottleneck when the intermediary makes the data delivery for accounting purposes. Nevertheless, this imposes a hard requirement: by not having a central marketplace, the peers (seller and customer) need to trust each other, which, in turn, requires enforcing a nonrepudiation schema. In this paper, the authors propose a distributed peer-to-peer architecture for such a data marketplace that takes advantage of the architectural fundamentals of fog computing, in which data processing, filtering, and stream based event generation is done in a fog node along with the data, and where relationships, both commercial agreements and data delivery, are performed directly between producers and consumers without the need of mutual trust thanks to the usage of blockchain principles (e.g., distributed ledger, consensus mechanism). The proposed architecture is validated through a case study involving a set of key issues regarding nonrepudiation commonly identified when moving from a centralized marketplace to a distributed one. Moreover, it is shown that the proposed solution does not bring in any limitation with regard to a centralized marketplace solution, in terms of pricing models (subscriptions, pay-per-use, etc.) or usage conditions (contract duration, updates rate, etc.).

2021 ◽  
Vol 12 (4) ◽  
Author(s):  
João Paulo Clarindo ◽  
João Pedro C. Castro ◽  
Cristina D. Aguiar

Spatial data generated by an Internet of Things (IoT) network is important to assist the spatial analytics process in issues related to smart cities. In these cities, IoT devices generate spatial data constantly. Thus, data can get increasingly voluminous very fast. In this paper, we investigate the challenge of managing these data through the use of a spatial data warehouse designed over a parallel and distributed data processing framework extended with a spatial analytics system. We propose an architecture aimed to assist a smart cities manager in the decision-making process. This architecture integrates a cloud layer where these technologies are located with a fog computing layer for extracting, transforming and loading the data into the spatial data warehouse. Furthermore, we introduce a set of guidelines to aid smart cities managers to implement the proposed architecture. These guidelines describe and discuss important issues that should be faced by the managers. We validate our architecture with a case study that uses real data collected by IoT devices in a smart city. This case study encompasses the execution of three different categories of spatial queries, demonstrating the architecture's efficacy and effectiveness to support spatial analytics in the context of smart cities.


Author(s):  
P. O. Olsson ◽  
T. Johansson ◽  
H. Eriksson ◽  
T. Lithén ◽  
L.-H. Bengtsson ◽  
...  

<p><strong>Abstract.</strong> An unbroken digital data flow would save substantial resources in the built environment process. In this study, which is part of a larger Swedish project, data delivery specifications and methods to integrate BIM and geodata are developed and tested with the aim to facilitate such an unbroken data flow. The main focus areas of the study are: (1) specifications that enables building permission applications based on BIM data to automate the building permission process, (2) reuse of as-built BIM models to update geodata when a building is constructed and (3) a national Swedish CityGML ADE for buildings. The study shows that building permission applications can be partly automated even though the delivery specifications were in the early stages of development at the time of a performed test case. With fully implemented delivery specifications more regulations can be checked. Furthermore, the study demonstrates how a BIM model can be georeferenced with a standard deviation of the transformation of 3&amp;thinsp;cm compared to field measurements performed with a total station. The georeferenced BIM model can then be converted to a LOD2 geodata building model to update existing geodata. Finally, a proposal for a national Swedish CityGML ADE for buildings is presented.</p>


Author(s):  
Timothy Gibbs

This article focuses on M15 organization and Klaus Fuchs, a German-born physicist and Soviet “Atom Spy” who was arrested in 1950 and served fourteen years for offences related to atomic espionage. It examines how Fuchs was identified as an “Atom Spy” in 1949 and describes the MI5's investigation, which ended in the early 1950 with the successful arrest, prosecution, and imprisonment of this highly significant Cold War figure. Key issues discussed in this article include the difficulties encountered by MI5 and the budding British atomic program in the sphere of security. It also discusses the role of Signals intelligence (SIGINT) in the investigation of Fuchs, and the high-risk but ultimately successful approach taken by MI5's key interrogator, William Skardon. This case study highlights both the unparalleled level of international intelligence cooperation between the British agencies and their American counterparts, which made the resolution of this case possible, and some of the frailties in the Anglo-American alliance that were brought to the fore by the exposure of Fuchs as an Atom Spy.


Systems ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 33
Author(s):  
Olena Klymenko ◽  
Lise Lillebrygfjeld Halse ◽  
Bjørn Jæger

Sustainability accounting is an emerging research area receiving growing awareness. This study examines the role of digital technology in manufacturing companies’ sustainability accounting. To guide the research, we use a triple layered business model canvas, which supports the accounting of a manufacturer’s performance for the economic, environmental, and social aspects of sustainability. We present an explorative case study of four Norwegian manufacturing companies representing different industries. The findings from the study indicate that while accounting for economic values is well taken care of, companies do not perform comprehensive environmental and social accounting. Furthermore, we observed a shift from a focus on sustainability issues related to the internal manufacturing process to a focus on sustainability issues for the life cycle of the product. Even though the manufacturers are at the forefront with regard to automation and control of production, with extensive use of robots giving a large amount of data, these data are not utilized towards sustainability accounting, showing that sustainability and digitalization are seen as two separate phenomena. This study sheds light on how digital data available from applied Industry 4.0 technologies could enhance sustainability accounting with limited efforts, linking sustainability and digitalization. The results provide insights for manufacturers and researchers in moving towards more sustainable operations and products.


2018 ◽  
Vol 26 ◽  
pp. 1180-1192 ◽  
Author(s):  
Atin Angrish ◽  
Benjamin Craver ◽  
Mahmud Hasan ◽  
Binil Starly

2016 ◽  
Vol 371 (1689) ◽  
pp. 20150213 ◽  
Author(s):  
Fabrice Pernet ◽  
Coralie Lupo ◽  
Cédric Bacher ◽  
Richard J. Whittington

Emerging diseases pose a recurrent threat to bivalve aquaculture. Recently, massive mortality events in the Pacific oyster Crassostrea gigas associated with the detection of a microvariant of the ostreid herpesvirus 1 (OsHV-1µVar) have been reported in Europe, Australia and New Zealand. Although the spread of disease is often viewed as a governance failure, we suggest that the development of protective measures for bivalve farming is presently held back by the lack of key scientific knowledge. In this paper, we explore the case for an integrated approach to study the management of bivalve disease, using OsHV-1 as a case study. Reconsidering the key issues by incorporating multidisciplinary science could provide a holistic understanding of OsHV-1 and increase the benefit of research to policymakers.


2021 ◽  
pp. 1-23
Author(s):  
Matteo Pompermaier

This article aims to retrace the extent of single women's engagement in the credit market. To this end, it relies on a series of more than 1,900 probate inventories drawn up between 1790 and 1910 in the two Swedish cities of Gävle and Uppsala. These two cities represent an ideal case study, because the process of industrialisation and economic development resulted in two differently structured credit markets. The research centres initially on the problem of studying women's agency from probate inventories. It analyses the main characteristics of spinsters and widows as they emerge from the sources and compares them with married women. Subsequently, the article analyses how marital status shaped women's economic lives, affecting how they participated in the credit market. For this purpose, it focuses specifically on banking and peer-to-peer exchanges (in particular, promissory notes). Spinsters favoured more conservative strategies relying more often on the services provided by banks, while widows seemed to have played an additional, and more significant, role as lenders in peer-to-peer networks. The study also confirms that unmarried women were only rarely active as borrowers.


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