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dc.contributor.advisor Yahyapour, Ramin Prof. Dr.
dc.contributor.author Berber, Fatih
dc.date.accessioned 2018-09-17T08:53:41Z
dc.date.available 2018-09-17T08:53:41Z
dc.date.issued 2018-09-17
dc.identifier.uri http://hdl.handle.net/11858/00-1735-0000-002E-E4AA-5
dc.language.iso eng de
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc 510 de
dc.title High-Performance Persistent Identification for Research Data Management de
dc.type doctoralThesis de
dc.contributor.referee Yahyapour, Ramin Prof. Dr.
dc.date.examination 2018-09-07
dc.description.abstracteng Durable identification and access to datasets, especially to research datasets, become increasingly important. This is mainly driven by the explosive dataset growth in the current age. Although the Internet was originally founded as a large-scale end-to-end communication platform, in the current era, it has developed to an information consumption medium with an overwhelming large spreading. However, the conception of the Internet against its original purpose aggravates an efficient data consumption. This is particularly based on the address-based data access mechanism, in which data is only consumable through a specific locator. Since, data mobility therefore leads to changing locators, the concept of persistent identification has been developed to track these changes. Instead of addressing data directly through its current valid locator, Persistent Identifiers (PIDs) enable data retrieval by globally unique and durable identifiers. This in turn has led research datasets to be increasingly assigned with PIDs. With the advent of massive research dataset generation, also the load on PID systems has dramatically increased, which causes PID record management to constitute a considerable performance problem. Therefore, this thesis focuses on the performance aspects behind PIDs. The goal is to provide solutions for high-performance PID management and resolution. Based on the established Handle System, we provide approaches which enable an accelerated usage of PIDs for research datasets, which are stored in sophisticated research data repositories. Moreover, this thesis also provides contributions for the area of performance analysis based on the queuing networks. The basic approach is to model a PID system as a multi-tier transactional Internet system and to mathematically investigate improvements of the response time. de
dc.contributor.coReferee Hogrefe, Dieter Prof. Dr.
dc.subject.eng Persistent Identifier de
dc.subject.eng PID de
dc.subject.eng Handle System de
dc.subject.eng DOI de
dc.subject.eng Multi-Tier System de
dc.subject.eng Performance de
dc.subject.eng Queuing Theory de
dc.subject.eng Mean-Value-Analysis Algorithm de
dc.subject.eng MVA Algorithm de
dc.subject.eng DNS de
dc.subject.eng Response Time de
dc.subject.eng High-Performance de
dc.subject.eng Data de
dc.subject.eng Data-Management de
dc.subject.eng Research Data de
dc.subject.eng Research Data Management de
dc.subject.eng Research Data Repository de
dc.subject.eng Speedup de
dc.subject.eng Resolution Time de
dc.identifier.urn urn:nbn:de:gbv:7-11858/00-1735-0000-002E-E4AA-5-4
dc.affiliation.institute Fakultät für Mathematik und Informatik de
dc.subject.gokfull Informatik (PPN619939052) de
dc.identifier.ppn 1030910499

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