Software Provisioning Inside a Secure Environment as Docker Containers Using Stroll File-System

Azab, Abdulrahman; Domańska, Diana

doi:10.1109/ccgrid.2016.106

Cited by 4 publications

(7 citation statements)

References 9 publications

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“…NeLS itself does not provide the level of security required for handling sensitive data. To support such projects, NeLS is linked with the TSD (Services for Sensitive Data) platform in Oslo 19 . NeLS and TSD are integrated, allowing transfer of data and workflows between the systems, making for more resource-efficient support of both types of projects benefiting both their operation and their users.…”

Section: Discussionmentioning

confidence: 99%

“…Interface with external systems. The NeLS portal has been successfully integrated with a national solution for sensitive data, the TSD k 19 . NeLS makes two-factor authentication of the TSD easier for users, and provides an easy web-based way for initiating data-transfer jobs between the NeLS and TSD infrastructures.…”

Section: The Architecture Of Nelsmentioning

confidence: 99%

“…NeLS was not designed for hosting sensitive data such as human genome data from Norwegian patients. ELIXIR Norway is collaborating with the TSD project and infrastructure ab 19 , created by USIT (The University Centre of Information Technology) at the University of Oslo, to offer a service to researchers in Norway for storing and processing sensitive data, including health data.…”

Section: Use Casesmentioning

confidence: 99%

“…Sensitive data handling is achieved by utilization of Services for Sensitive Data (TSD) 19 . NorSeq staff uploads the generated data to a special TSD project that allows for initial data analysis using ELIXIR Norway provided workflows jointly by NorSeq and ELIXIR Norway help desk staff, before the raw and processed data are made fully available to the user’s TSD project.…”

Section: Unified Service Toward Data-generating Platformsmentioning

confidence: 99%

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Norwegian e-Infrastructure for Life Sciences (NeLS)

et al. 2018

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The Norwegian e-Infrastructure for Life Sciences (NeLS) has been developed by ELIXIR Norway to provide its users with a system enabling data storage, sharing, and analysis in a project-oriented fashion. The system is available through easy-to-use web interfaces, including the Galaxy workbench for data analysis and workflow execution. Users confident with a command-line interface and programming may also access it through Secure Shell (SSH) and application programming interfaces (APIs). NeLS has been in production since 2015, with training and support provided by the help desk of ELIXIR Norway. Through collaboration with NorSeq, the national consortium for high-throughput sequencing, an integrated service is offered so that sequencing data generated in a research project is provided to the involved researchers through NeLS. Sensitive data, such as individual genomic sequencing data, are handled using the TSD (Services for Sensitive Data) platform provided by Sigma2 and the University of Oslo. NeLS integrates national e-infrastructure storage and computing resources, and is also integrated with the SEEK platform in order to store large data files produced by experiments described in SEEK. In this article, we outline the architecture of NeLS and discuss possible directions for further development.

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Section: Discussionmentioning

confidence: 99%

Section: The Architecture Of Nelsmentioning

confidence: 99%

Section: Use Casesmentioning

confidence: 99%

Section: Unified Service Toward Data-generating Platformsmentioning

confidence: 99%

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Norwegian e-Infrastructure for Life Sciences (NeLS)

et al. 2018

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“…Azab et al [AD16]refer to av ery similar problem this thesis aimstoface.T hey dealwith TSD (Tjenester forS ensitiveD ata), an isolatedi nfrastructure fors toring and processing sensitive research data, e.g. human patient genomics data.…”

Section: Beyond the Stateo Ft He Artmentioning

confidence: 99%

Updating Service-Based Software Systems in Air-Gapped Environments

Shabelnyk

Frangoudis

Dustdar

et al. 2021

Software Architecture

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Hiermit erkläre ich, dass ichd ieseA rbeit selbständig verfasst habe,d ass ichd ie verwen-detenQ uellenu nd Hilfsmittel vollständig angegeben habeu nd dass ichd ie Stellen der Arbeit-einschließlichT abellen,K arten undA bbildungen -, diea nderen Werken oder dem Internet im Wortlaut oder demS inn nach entnommens ind, aufj eden Fall unter Angabed er Quellea ls Entlehnung kenntlich gemacht habe. Wien, 18. Mai 2021Oleksandr Shabelnyk v Disclaimer: The views expressedhereinare those of theauthor(s) and do not necessarily reflect the viewso ft he CTBTOP reparatory Commission.Iw antt oe xpress my sincereg ratitude to all those among my friendsa nd familyw ho have supportedm et hroughout this breathtakingj ourney.U ndoubtedly,t he keys uccess factorh as been theo utstanding support of my highly skilled supervisors, Dr Christos Tsigkanos, Dr Pantelis A. Frangoudisa nd ProfS chahram Dustdar. Besides getting professionala nd alwaysf ast feedback, Ih ave been constantlys upplied with new ideas and guided according to thebest practicesi nt he scientific community.A ll together it createds of ar the best experience in composingas cientific work form e.Additionally,Iwant to commend my dearest colleagues Dr AledP rys Rowlands( Remote Sensing Officer,C TBTO) and Julius Kozma (Operations Officer,C TBTO).A ledh as been extensively supportingm eb yp rovidingh is expertisei nd ifferent fields,h elping with thee laborationo ft he evaluation scenario and manym ore,w hile Juliusc ontributed tremendously to the requirements collection. Additionally,Iwant to thank Irina Hofstetter for her extraordinary support in preparing the memorandum to receiveCTBTO's approval foru sing the Organization's affiliation, as well as publishing thet hesis.T hereupon,I want to express my appreciation to all those who approvedt he related memorandum: Dr LassinaZ erbo( ExecutiveS ecretary), Julian Tangaere (OSI Coordinator) and Vadim Smirnov( Directoro ft he OSI Division).

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Research on failure rate of self-service payment terminal of power supply company based on cloud computing

Song

Sun

et al. 2021

IOP Conf. Ser.: Earth Environ. Sci.

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With the continuous development of power companies, the load on the user side continues to diversify, the traditional payment methods in the power system are constantly updated, and the scale of self-service payment terminals has been fully expanded. However, as the scale of self-service payment terminals becomes larger and terminal equipment functions become more abundant, the failure rate of terminal equipment is also on the rise. Cloud computing can provide a large number of low-cost computing and storage resources, and has the characteristics of easy deployment and strong scalability, which can meet the software and hardware needs of big data analysis. Therefore, the effective integration of cloud computing and big data technology and the use of their respective advantages have important practical significance in the big data analysis of equipment failure. Completing the prediction of the failure rate of the terminal equipment according to the designed big data analysis framework will help to arrange the maintenance plan of the terminal equipment reasonably and improve the reliability of the power self-service payment terminal.

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Software Provisioning Inside a Secure Environment as Docker Containers Using Stroll File-System

Cited by 4 publications

References 9 publications

Norwegian e-Infrastructure for Life Sciences (NeLS)

Norwegian e-Infrastructure for Life Sciences (NeLS)

Updating Service-Based Software Systems in Air-Gapped Environments

Research on failure rate of self-service payment terminal of power supply company based on cloud computing

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