F
Fei Li
Researcher at Vienna University of Technology
Publications - 34
Citations - 851
Fei Li is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Context (language use) & Cloud computing. The author has an hindex of 16, co-authored 34 publications receiving 786 citations. Previous affiliations of Fei Li include Beijing University of Posts and Telecommunications & Siemens.
Papers
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Proceedings ArticleDOI
Efficient and Scalable IoT Service Delivery on Cloud
TL;DR: This paper introduces the IoT PaaS architecture, on which IoT solutions can be delivered as virtual verticals by leveraging computing resources and middleware services on cloud and presents the detailed mechanism and implementation of domain mediation, which helps solution providers to efficiently provide domain-specific control applications.
Proceedings ArticleDOI
Performance Engineering for Microservices: Research Challenges and Directions
Robert Heinrich,André van Hoorn,Holger Knoche,Fei Li,Lucy Ellen Lwakatare,Claus Pahl,Stefan Schulte,Johannes Wettinger +7 more
TL;DR: This paper argues why new solutions to performance engineering for microservices are needed and identifies open issues and outline possible research directions with regard to performance-aware testing, monitoring, and modeling of microservices.
Journal ArticleDOI
Context-driven personalized service discovery in pervasive environments
TL;DR: Experiments show, that the proposed proactive service discovery approach for pervasive environments addressing implicit requests can efficiently provide the user with continuous, up-to-date information about the most useful services in real time.
Proceedings ArticleDOI
Towards Automated IoT Application Deployment by a Cloud-Based Approach
TL;DR: This paper proposes to employ TOSCA-a new standard for cloud service management-to systematically specify the components and configurations of IoT applications to demonstrate that, by using TOS CA, application models can be reused, and deployment processes can be automated in heterogeneous IoT system environments.
Proceedings ArticleDOI
COPAL: An adaptive approach to context provisioning
TL;DR: COPAL is at first a runtime middleware, which provides loose-coupling between context and its processing, and the component architecture of COPAL ensures that new context processing functions can be added dynamically.