Biographie   🔗

Seit Oktober 2011 ist Professor Dr. Ramin Yahyapour Geschäftsführer der GWDG, einer gemeinsamen Einrichtung der Georg-August-Universität Göttingen und der Max-Planck-Gesellschaft. Zeitgleich wurde er als ordentlicher Professor für Praktische Informatik an die Georg-August-Unversität Göttingen berufen. Zuvor wirkte er als Professor an der Technischen Universität Dortmund sowie als Direktor des IT- und Mediencenters und als CIO der Universität.

Professor Yahyapour hat im Fach Elektrotechnik promoviert. Seine Forschungsschwerpunkte liegen in den Bereichen Ressourcenmanagement sowie deren Anwendung in Service-orientierten Infrastrukturen, Cloud-Computing und Datenmangement.

Professor Yahyapour war und ist aktiv an zahlreichen nationalen und internationalen Forschungsprojekten beteiligt, beispielsweise als wissenschaftlicher Koordinator des Projektes SLA@SOI, gefördert durch das siebte Forschungsrahmenprogramm der Europäischen Union oder Mitglied des Exekutivkomitees des Networks of Excellence CoreGRID. Professor Yahyapour ist regelmäßig als Gutachter für Förderinstitutionen und als Berater für IT-Organisationen tätig. Des Weiteren ist er Organisator und Mitglied in Programm-Komitees verschiedener Konferenzen und Workshops sowie Gutachter für eine Vielzahl von Fachpublikationen.

Research Interests   🔗

• Ressourcenmanagement und Scheduling
• Service-orientierte Infrastrukturen und Service Computing
• Cloud-Computing
• Datenmanagement

Recent Publications

2021   🔗

• Sekundäre Nutzung von hausärztlichen Routinedaten ist machbar – Bericht vom RADAR Projekt (Johannes Hauswaldt, Thomas Bahls, Arne Blumentritt, Iris Demmer, Johannes Drepper, Roland Groh, Stephanie Heinemann, Wolfgang Hoffmann, Valérie Kempter, Johannes Pung, Otto Rienhoff, Falk Schlegelmilch, Philipp Wieder, Ramin Yahyapour, Eva Hummers), 2021-01-01 DOI BIBTEX

  @article{2_97749
  	abstract = {"Zusammenfassung Ziel der Studie „Real world“-Daten aus der ambulanten Gesundheitsversorgung sind in Deutschland nur schwer systematisch und longitudinal zu erlangen. Unsere Vision ist eine permanente Datenablage mit repräsentativen, de-identifizierten Patienten- und Versorgungsdaten, längsschnittlich, fortwährend aktualisiert und von verschiedenen Versorgern, mit der Möglichkeit zur Verknüpfung mit weiteren Daten, etwa aus Patientenbefragungen oder biologischer Forschung, zugänglich für andere Forscher. Wir berichten methodische Vorgehensweisen und Ergebnisse aus dem RADAR Projekt.Methodik Untersuchung des Rechtsrahmens, Entwicklung prototypischer technischer Abläufe und Lösungen, mit Machbarkeitsstudie zur Evaluation von technischer und inhaltlicher Funktionalität sowie Eignung für Fragestellungen der Versorgungsforschung.Ergebnisse Ab 2016 entwickelte ein interdisziplinäres Wissenschaftlerteam ein Datenschutzkonzept für Exporte von Versorgungsdaten aus elektronischen Praxisverwaltungssystemen. Eine technische und organisatorische Forschungsinfrastruktur im ambulanten Sektor wurden entwickelt und im Anwendungsfall „Orale Antikoagulation“ (OAK) umgesetzt. In 7 niedersächsischen Hausarztpraxen wurden 100 Patienten gewonnen und nach informierter Einwilligung ihre ausgewählten Behandlungsdaten, reduziert auf 40 relevante Datenfelder, über die Behandlungsdatentransfer-Schnittstelle extrahiert, unmittelbar vor Ort in identifizierende bzw. medizinische Daten getrennt und verschlüsselt zur Treuhandstelle (THS) bzw. an den Datenhalter übertragen. 75 Patienten, die die Einschlusskriterien erfüllten (mind. 1 Jahr Behandlung mit OAK), erhielten einen Lebensqualitäts-Fragebogen über die THS per Post. Von 66 Rücksendungen wurden 63 Fragebogenergebnisse mit den Behandlungsdaten in der Datenablage verknüpft.Schlussfolgerung Die rechtskonforme Machbarkeit der Gewinnung von pseudonymisierten hausärztlichen Routinedaten mit expliziter informierter Patienteneinwilligung und deren wissenschaftliche Nutzung einschließlich Re-Kontaktierung und Einbindung von Fragebogendaten konnte nachgewiesen werden. Die Schutzkonzepte Privacy by design und Datenminimierung (Artikel 25 mit Erwägungsgrund 78 DSGVO) wurden systematisch in das RADAR Projekt integriert und begründen wesentlich, dass der Machbarkeitsnachweis rechtskonformer Primärdatengewinnung und sekundärer Nutzung für Forschungszwecke gelang. Eine Nutzung hinreichend anonymisierter, aber noch sinnvoller hausärztlicher Gesundheitsdaten ohne individuelle Einwilligung ist im bestehenden Rechtsrahmen in Deutschland schwerlich umsetzbar."}
  	author = {Johannes Hauswaldt and Thomas Bahls and Arne Blumentritt and Iris Demmer and Johannes Drepper and Roland Groh and Stephanie Heinemann and Wolfgang Hoffmann and Valérie Kempter and Johannes Pung and Otto Rienhoff and Falk Schlegelmilch and Philipp Wieder and Ramin Yahyapour and Eva Hummers}
  	doi = {10.1055/a-1676-4020}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/97749}
  	title = {Sekundäre Nutzung von hausärztlichen Routinedaten ist machbar – Bericht vom RADAR Projekt}
  	year = {2021}
  	month = {01}
  }

• An Optimized Single Sign-On Schema for Reliable Multi -Level Security Management in Clouds (Aytaj Badirova, Shirin Dabbaghi, Faraz Fatemi-Moghaddam, Philipp Wieder, Ramin Yahyapour), In Proceedings of FiCloud 2021 – 8th International Conference on Future Internet of Things and Cloud, 2021-01-01 DOI BIBTEX

  @inproceedings{2_121153
  	author = {Aytaj Badirova and Shirin Dabbaghi and Faraz Fatemi-Moghaddam and Philipp Wieder and Ramin Yahyapour}
  	doi = {10.1109/FiCloud49777.2021.00014}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/121153}
  	journal = {Proceedings of FiCloud 2021 – 8th International Conference on Future Internet of Things and Cloud}
  	title = {An Optimized Single Sign-On Schema for Reliable Multi -Level Security Management in Clouds}
  	year = {2021}
  	month = {01}
  }

• Recent Advances of Resource Allocation in Network Function Virtualization (Song Yang, Fan Li, Stojan Trajanovski, Ramin Yahyapour, Xiaoming Fu), 2021-01-01 DOI BIBTEX

  @article{2_68120
  	abstract = {"Network Function Virtualization (NFV) has been emerging as an appealing solution that transforms complex network functions from dedicated hardware implementations to software instances running in a virtualized environment. Due to the numerous advantages such as flexibility, efficiency, scalability, short deployment cycles, and service upgrade, NFV has been widely recognized as the next-generation network service provisioning paradigm. In NFV, the requested service is implemented by a sequence of Virtual Network Functions (VNF) that can run on generic servers by leveraging the virtualization technology. These VNFs are pitched with a predefined order through which data flows traverse, and it is also known as the Service Function Chaining (SFC). In this article, we provide an overview of recent advances of resource allocation in NFV. We generalize and analyze four representative resource allocation problems, namely, (1) the VNF Placement and Traffic Routing problem, (2) VNF Placement problem, (3) Traffic Routing problem in NFV, and (4) the VNF Redeployment and Consolidation problem. After that, we study the delay calculation models and VNF protection (availability) models in NFV resource allocation, which are two important Quality of Service (QoS) parameters. Subsequently, we classify and summarize the representative work for solving the generalized problems by considering various QoS parameters (e.g., cost, delay, reliability, and energy) and different scenarios (e.g., edge cloud, online provisioning, and distributed provisioning). Finally, we conclude our article with a short discussion on the state-of-the-art and emerging topics in the related fields, and highlight areas where we expect high potential for future research."}
  	author = {Song Yang and Fan Li and Stojan Trajanovski and Ramin Yahyapour and Xiaoming Fu}
  	doi = {10.1109/TPDS.2020.3017001}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/68120}
  	title = {Recent Advances of Resource Allocation in Network Function Virtualization}
  	year = {2021}
  	month = {01}
  }

• A two-phase virtual machine placement policy for data-intensive applications in cloud (Samaneh Sadegh, Kamran Zamanifar, Piotr Kasprzak, Ramin Yahyapour), 2021-01-01 DOI BIBTEX

  @article{2_84902
  	author = {Samaneh Sadegh and Kamran Zamanifar and Piotr Kasprzak and Ramin Yahyapour}
  	doi = {10.1016/j.jnca.2021.103025}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/84902}
  	title = {A two-phase virtual machine placement policy for data-intensive applications in cloud}
  	year = {2021}
  	month = {01}
  }

2019   🔗

• A multi-layered policy generation and management engine for semantic policy mapping in clouds (Faraz Fatemi Moghaddam, Philipp Wieder, Ramin Yahyapour), 2019-01-01 DOI BIBTEX

  @article{2_62713
  	abstract = {"The long awaited cloud computing concept is a reality now due to the transformation of computer generations. However, security challenges have become the biggest obstacles for the advancement of this emerging technology. A well-established policy framework is defined in this paper to generate security policies which are compliant to requirements and capabilities. Moreover, a federated policy management schema is introduced based on the policy definition framework and a multi-level policy application to create and manage virtual clusters with identical or common security levels. The proposed model consists in the design of a well-established ontology according to security mechanisms, a procedure which classifies nodes with common policies into virtual clusters, a policy engine to enhance the process of mapping requests to a specific node as well as an associated cluster and matchmaker engine to eliminate inessential mapping processes. The suggested model has been evaluated according to performance and security parameters to prove the efficiency and reliability of this multi-layered engine in cloud computing environments during policy definition, application and mapping procedures."}
  	author = {Faraz Fatemi Moghaddam and Philipp Wieder and Ramin Yahyapour}
  	doi = {10.1016/j.dcan.2019.02.001}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/62713}
  	title = {A multi-layered policy generation and management engine for semantic policy mapping in clouds}
  	year = {2019}
  	month = {01}
  }

• An Updateable Token-Based Schema for Authentication and Access Management in Clouds (Tayyebe Emadinia, Faraz Fatemi Moghaddam, Philipp Wieder, Shirin Dabbaghi Varnosfaderani, Ramin Yahyapour), In Proceedings of the 7th International Conference on Future Internet of Things and Cloud (FiCloud), 2019-01-01 DOI BIBTEX

  @inproceedings{2_63926
  	author = {Tayyebe Emadinia and Faraz Fatemi Moghaddam and Philipp Wieder and Shirin Dabbaghi Varnosfaderani and Ramin Yahyapour}
  	doi = {10.1109/FiCloud.2019.00015}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/63926}
  	journal = {Proceedings of the 7th International Conference on Future Internet of Things and Cloud (FiCloud)}
  	title = {An Updateable Token-Based Schema for Authentication and Access Management in Clouds}
  	year = {2019}
  	month = {01}
  }

• Delay-Sensitive and Availability-Aware Virtual Network Function Scheduling for NFV (Song Yang, Fan Li, Ramin Yahyapour, Xiaoming Fu), 2019-01-01 DOI BIBTEX

  @article{2_62710
  	abstract = {"Network Function Virtualization (NFV) has been emerging as an appealing solution that transforms from dedicated hardware implementations to software instances running in a virtualized environment. In NFV, the requested service is implemented by a sequence of Virtual Network Functions (VNF) that can run on generic servers by leveraging the virtualization technology. These VNFs are pitched with a predefined order, and it is also known as the Service Function Chaining (SFC). Considering that the delay and resiliency are two important Service Level Agreements (SLA) in a NFV service, in this paper, we first investigate how to quantitatively model the traversing delay of a flow in both totally ordered and partially ordered SFCs. Subsequently, we study how to calculate the VNF placement availability mathematically for both unprotected and protected SFCs. After that, we study the delay-sensitive Virtual Network Function (VNF) placement and routing problem with and without resiliency concerns. We prove that this problem is NP-hard under two cases. We subsequently propose an exact Integer Nonlinear Programming formulation and an efficient heuristic for this problem in each case. Finally, we evaluate the proposed algorithms in terms of acceptance ratio, average number of used nodes and total running time via extensive simulations."}
  	author = {Song Yang and Fan Li and Ramin Yahyapour and Xiaoming Fu}
  	doi = {10.1109/TSC.2019.2927339}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/62710}
  	title = {Delay-Sensitive and Availability-Aware Virtual Network Function Scheduling for NFV}
  	year = {2019}
  	month = {01}
  }

• A Graph Database for Persistent Identifiers (Triet Doan, Sven Bingert, Lena Wiese, Ramin Yahyapour), In Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen", 2019-01-01 DOI BIBTEX

  @inproceedings{2_91394
  	author = {Triet Doan and Sven Bingert and Lena Wiese and Ramin Yahyapour}
  	doi = {10.15488/9817}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/91394}
  	journal = {Proceedings of the Conference on "Lernen, Wissen, Daten, Analysen"}
  	title = {A Graph Database for Persistent Identifiers}
  	year = {2019}
  	month = {01}
  }

• Cloud Security Distributary Set (CSDS): A Policy-Based Framework to Define Multi-Level Security Structure in Clouds (Faraz Fatemi Moghaddam, Philipp Wieder, Süleyman Berk Çemberci, Ramin Yahyapour), In COINS '19 Proceedings of the International Conference on Omni-Layer Intelligent Systems, 2019-01-01 DOI BIBTEX

  @inproceedings{2_62712
  	abstract = {"Security challenges are the most important obstacles for the advancement of IT-based on-demand services and cloud computing as an emerging technology. In this paper, a structural policy management engine has been introduced to enhance the reliability of managing different policies in clouds and to provide standard as well as dedicated security levels (rings) based on the capabilities of the cloud provider and the requirements of cloud customers. Cloud security ontology (CSON) is an object-oriented framework defined to manage and enable appropriate communication between the potential security terms of cloud service providers. CSON uses two super classes to establish appropriate mapping between the requirements of cloud customers and the capabilities of the service provider."}
  	author = {Faraz Fatemi Moghaddam and Philipp Wieder and Süleyman Berk Çemberci and Ramin Yahyapour}
  	doi = {10.1145/3312614.3312633}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/62712}
  	journal = {COINS '19 Proceedings of the International Conference on Omni-Layer Intelligent Systems}
  	title = {Cloud Security Distributary Set (CSDS): A Policy-Based Framework to Define Multi-Level Security Structure in Clouds}
  	year = {2019}
  	month = {01}
  }

• CBase: Fast Virtual Machine storage data migration with a new data center structure (Fei Zhang, Guangming Liu, Bo Zhao, Piotr Kasprzak, Xiaoming Fu, Ramin Yahyapour), 2019-01-01 DOI BIBTEX

  @article{2_57358
  	abstract = {"Live Virtual Machine (VM) migration within a data center is an important technology for cloud management, and has brought many benefits to both cloud providers and users. With the development of cloud computing, across-data-center VM migration is also desired. Normally, there is no shared storage system between data centers, hence the storage data (disk image) of a VM will be migrated to the destination data center as well. However, the slow network speed of the Internet and the comparatively large size of VM disk image make VM storage data migration become a bottleneck for live VM migration across data centers. In this paper, based on a detailed analysis of VM deployment models and the nature of VM image data, we design and implement a new migration system, called CBase. The key concept of CBase is a newly introduced central base image repository for reliable and efficient data sharing between VMs and data centers. With this central repository, further performance optimizations to VM storage data migration are made possible. Two migration mechanisms (data deduplication and Peer-to-Peer (P2P) file sharing) are utilized to accelerate base image migration, and a strategy is designed to elevate the synchronization of newly-written disk blocks. The results from an extensive experiment show that CBase significantly outperforms existing migration mechanisms under different conditions regarding total migration time and total network traffic. In particular, CBase with data deduplication is better than P2P file sharing for base image migration in our experimental environment."}
  	author = {Fei Zhang and Guangming Liu and Bo Zhao and Piotr Kasprzak and Xiaoming Fu and Ramin Yahyapour}
  	doi = {10.1016/j.jpdc.2018.10.001}
  	grolink = {https://resolver.sub.uni-goettingen.de/purl?gro-2/57358}
  	title = {CBase: Fast Virtual Machine storage data migration with a new data center structure}
  	year = {2019}
  	month = {01}
  }

Open Theses and Project Topics