scholarly journals File System Support for Privacy-Preserving Analysis and Forensics in Low-Bandwidth Edge Environments

Information ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 430
Author(s):  
Aril Bernhard Ovesen ◽  
Tor-Arne Schmidt Nordmo ◽  
Håvard Dagenborg Johansen ◽  
Michael Alexander Riegler ◽  
Pål Halvorsen ◽  
...  

In this paper, we present initial results from our distributed edge systems research in the domain of sustainable harvesting of common good resources in the Arctic Ocean. Specifically, we are developing a digital platform for real-time privacy-preserving sustainability management in the domain of commercial fishery surveillance operations. This is in response to potentially privacy-infringing mandates from some governments to combat overfishing and other sustainability challenges. Our approach is to deploy sensory devices and distributed artificial intelligence algorithms on mobile, offshore fishing vessels and at mainland central control centers. To facilitate this, we need a novel data plane supporting efficient, available, secure, tamper-proof, and compliant data management in this weakly connected offshore environment. We have built our first prototype of Dorvu, a novel distributed file system in this context. Our devised architecture, the design trade-offs among conflicting properties, and our initial experiences are further detailed in this paper.

Author(s):  
Pradip Hari ◽  
Kevin Ko ◽  
Emmanouil Koukoumidis ◽  
Ulrich Kremer ◽  
Margaret Martonosi ◽  
...  

Increasingly, spatial awareness plays a central role in many distributed and mobile computing applications. Spatially aware applications rely on information about the geographical position of compute devices and their supported services in order to support novel functionality. While many spatial application drivers already exist in mobile and distributed computing, very little systems research has explored how best to program these applications, to express their spatial and temporal constraints, and to allow efficient implementations on highly dynamic real-world platforms. This paper proposes the SARANA system architecture, which includes language and run-time system support for spatially aware and resource-aware applications. SARANA allows users to express spatial regions of interest, as well as trade-offs between quality of result (QoR), latency and cost. The goal is to produce applications that use resources efficiently and that can be run on diverse resource-constrained platforms ranging from laptops to personal digital assistants and to smart phones. SARANA's run-time system manages QoR and cost trade-offs dynamically by tracking resource availability and locations, brokering usage/pricing agreements and migrating programs to nodes accordingly. A resource cost model permeates the SARANA system layers, permitting users to express their resource needs and QoR expectations in units that make sense to them. Although we are still early in the system development, initial versions have been demonstrated on a nine-node system prototype.


Urban Science ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 3
Author(s):  
Janette Hartz-Karp ◽  
Dora Marinova

This article expands the evidence about integrative thinking by analyzing two case studies that applied the collaborative decision-making method of deliberative democracy which encourages representative, deliberative and influential public participation. The four-year case studies took place in Western Australia, (1) in the capital city Perth and surrounds, and (2) in the city-region of Greater Geraldton. Both aimed at resolving complex and wicked urban sustainability challenges as they arose. The analysis suggests that a new way of thinking, namely integrative thinking, emerged during the deliberations to produce operative outcomes for decision-makers. Building on theory and research demonstrating that deliberative designs lead to improved reasoning about complex issues, the two case studies show that through discourse based on deliberative norms, participants developed different mindsets, remaining open-minded, intuitive and representative of ordinary people’s basic common sense. This spontaneous appearance of integrative thinking enabled sound decision-making about complex and wicked sustainability-related urban issues. In both case studies, the participants exhibited all characteristics of integrative thinking to produce outcomes for decision-makers: salience—grasping the problems’ multiple aspects; causality—identifying multiple sources of impacts; sequencing—keeping the whole in view while focusing on specific aspects; and resolution—discovering novel ways that avoided bad choice trade-offs.


2012 ◽  
Vol 90 (6) ◽  
pp. 714-721 ◽  
Author(s):  
J.J. Bowden ◽  
C.M. Buddle

We studied populations of three tundra-dwelling wolf spider (Lycosidae) species to determine reproductive trait relationships and developmental timing in the Arctic. We collected 451 Pardosa lapponica (Thorell, 1872), 176 Pardosa sodalis Holm, 1970, and 117 Pardosa moesta Banks, 1892 during summer 2008. We used log-likelihood ratio tests and multiple linear regressions to determine the best predictors of fecundity and relative reproductive effort. Female body size best explained the variation in fecundity and body condition was the best predictor for relative reproductive effort. We tested for a trade-off between the allocation of resources to individual eggs and the number of eggs produced (fecundity) within each species using linear regression. There was variation in detectable egg size and number trade-offs among sites and these may be related to local variation in resource allocation linked to density-related biotic or abiotic factors. These findings contribute to knowledge about the fitness of arctic wolf spiders in the region of study and are particularly relevant in light of the effects that climate changes are predicted to have on the arctic fauna.


2019 ◽  
pp. 623-643 ◽  
Author(s):  
Max Craglia ◽  
Katarzyna Pogorzelska

Abstract In this chapter, we approach the economic value of Digital Earth with a broad definition of economic value, i.e., the measure of benefits from goods or services to an economic agent and the trade-offs the agent makes in view of scarce resources. The concept of Digital Earth has several components: data, models, technology and infrastructure. We focus on Earth Observation (EO) data because this component has been undergoing the most dramatic change since the beginning of this century. We review the available recent studies to assess the value of EO/geospatial/open data and related infrastructures and identify three main sets of approaches focusing on the value of information, the economic approach to the value of EO to the economy from both macro- and microeconomic perspectives, and a third set that aims to maximize value through infrastructure and policy. We conclude that the economic value of Digital Earth critically depends on the perspective: the value for whom, what purpose, and when. This multiplicity is not a bad thing: it acknowledges that Digital Earth is a global concept in which everyone can recognize their viewpoint and collaborate with others to increase the common good.


Author(s):  
Mian-Guan Lim ◽  
Sining Wu ◽  
Tomasz Simon ◽  
Md Rashid ◽  
Na Helian

On-demand cloud applications like online email accounts and online virtual disk space are becoming widely available in various forms. In cloud applications, one can see the importance of underlying resources, such as disk space, that is available to the end-user but not easily accessible. In the authors’ study, a modern file system developed in linux is proposed, which enables consuming of cloud applications and making the underlying disk space resource available to the end-user. This system is developed as a web service to support cross operation system support. A free online mail account was used to demonstrate this solution, and an IMAP protocol to communicate with remote data spaces was used so that this method can mount onto any email system that supports IMAP. The authors’ definition of infinite storage as the user is able to mount file systems as a single logical drive.


2020 ◽  
Vol 12 (9) ◽  
pp. 3708 ◽  
Author(s):  
Matthew Berman ◽  
Robert W. Orttung

The International Organization for Standardization recently responded to a growing global interest in cities by developing an index for measuring urban sustainability (ISO 37120). We address how well this standard applies to Arctic cities, and potential modifications that might improve its performance. After briefly discussing the goals of sustainability indicators, we examine the extent to which Arctic cities’ remote location, cold and changing climate, and thin, largely resource-based economies may create different sustainability challenges. We then critically examine the content of ISO 37120 and the context in which it was created. We place the index within a broader discussion of urban sustainability indicators and examine the extent to which it really addresses sustainability. We then analyze how well the ISO 37120 accounts for the characteristic features of Arctic cities that produce unique sustainability challenges. Our findings show that only half of ISO 37120′s 128 indicators actually measure future-oriented concerns. We suggest that, while the ISO 37120 may be a useful starting point in quantifying Arctic urban sustainability, the index should only be used as a foundation for a more in-depth analysis. To better represent Arctic cities, the ISO 37120 would need to include indicators that situate cities within their regional contexts, addressing both remoteness and the underlying basis of the Arctic city economy. The index should also measure the role of Indigenous populations, and chart the extent to which cities are working to increase levels of sustainability.


2018 ◽  
Vol 15 (9999) ◽  
pp. 49-69
Author(s):  
Cécile Ezvan ◽  
Patricia Langohr ◽  
Cécile Renouard ◽  
Aurélien Colson ◽  

This paper provides a conception and qualitative analysis of a recent innovative pedagogical experience, a two-week program called “Understand and Change the World”, which is designed to help business schools generate an impetus towards change within students, faculty, and administrators and more generally to the institution’s systemic sustainable capability. We argue that harnessing the ends rather than the means is the key to meeting sustainability challenges within business schools. The conceptual basis of our program provides broad avenues for business school pedagogy. The pedagogy relies on students’ sense of meaning and practical wisdom to raise empathy, awareness of the common good, and the fundamental relevance of such empathy and awareness for the business world. This implies taking a step back from the traditional instrumental approach to business education and, more broadly, to careers and business.


2012 ◽  
Vol 69 (2) ◽  
pp. 209-223 ◽  
Author(s):  
Jeremy S. Collie ◽  
Randall M. Peterman ◽  
Brett M. Zuehlke

Empirically based simulation models can help fisheries managers make difficult decisions involving trade-offs between harvests and maintaining spawner abundance, especially when data contain uncertainties. We developed such a general risk-assessment framework and applied it to chum salmon ( Oncorhynchus keta ) stocks in the Arctic–Yukon–Kuskokwim region of Alaska, USA. These stocks experienced low abundance in the 1990s, which led to declarations of economic disaster and calls for changes in harvest strategies. Our stochastic model provides decision makers with quantitative information about trade-offs among commercial harvest, subsistence harvest, and spawner abundance. The model included outcome uncertainty (the difference between target and realized spawner abundances) in the subsistence and commercial catch modules. We also used closed-loop simulations to investigate the utility of time-varying management policies in which target spawner abundance changed in response to changes in the Ricker productivity parameter (a), as estimated with a Kalman filter. Time-varying policies resulted in higher escapements and catches and reduced risk across a range of harvest rates. The resulting generic risk-assessment framework can be used to evaluate harvest guidelines for most salmon stocks.


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