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{"first" : "Alexander", "last" : "Bott"}, {"first" : "Gisela", "last" : "Lanza"}, {"first" : "Volker", "last" : "Schulze"}, {"first" : "Jürgen", "last" : "Fleischer"}, {"first" : "Matthias", "last" : "Leander-Knoll"}, {"first" : "Keerthana", "last" : "Jaganathan"}, {"first" : "Klaus", "last" : "Scheibenberger"}, {"first" : "Olga", "last" : "Andriushchenko"}, {"first" : "Oleksandr", "last" : "Shcherbakov"}, {"first" : "Dennis", "last" : "Hoppe"}, {"first" : "David", "last" : "Brinkmeier"} ], "editor": [ "Karlsruher Institut für Technologie (KIT)" ], "editors": [ {"first" : "Karlsruher Institut", "last" : "für Technologie (KIT)"} ], "pagetotal" : "45", "language" : "english", "doi" : "10.5445/IR/1000174929", "bibtexKey": "erb2024gaiaxbased" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/297a83a899f5253fd2d1a9a64b76631ab/isw-bibliothek", "tags" : [ "GAIA-X","cloud","data-exchange","dataspace","ecosystem","edge","isw","shopfloor" ], "intraHash" : "97a83a899f5253fd2d1a9a64b76631ab", "interHash" : "80128c8687d0ffd179dc75078616b006", "label" : "GAIA-X4ICM: Infrastruktur für eine durchgängige Digitalisierung der Produktion auf Basis von Gaia-X", "user" : "isw-bibliothek", "description" : "", "date" : "2025-04-14 10:25:16", "changeDate" : "2025-04-14 10:25:16", "count" : 1, "pub-type": "incollection", "booktitle": "Pitchday Datenraum Industrie 4.0","publisher":"Geschäftsstelle Plattform Industrie 4.0","address":"Bülowstraße 78", "year": "2023", "url": "https://www.plattform-i40.de/IP/Redaktion/DE/Downloads/Publikation/Sammelband_Pitchday_Datenraum_Industrie40.html", "author": [ "Wolfgang Bubeck" ], "authors": [ {"first" : "Wolfgang", "last" : "Bubeck"} ], "editor": [ "Geschäftsstelle Plattform Industrie 4.0" ], "editors": [ {"first" : "Geschäftsstelle Plattform Industrie", "last" : "4.0"} ], "pages": "57", "bibtexKey": "bubeck2023gaiax4icm" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/261ff313b4075d9986b43c6fcd453b038/klinaku", "tags" : [ "autoscaling","cloud","cloud-computing","elasticity","performance","policies","simulation","threshold-based" ], "intraHash" : "61ff313b4075d9986b43c6fcd453b038", "interHash" : "2acaa6d378c2ebf74de5aae014b09eec", "label" : "Designing Elasticity Policies for Cloud-Native Applications with Slingshot", "user" : "klinaku", "description" : "", "date" : "2025-01-13 13:31:11", "changeDate" : "2025-01-13 13:31:11", "count" : 4, "pub-type": "inproceedings", "booktitle": "2023 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C)", "year": "2023", "url": "", "author": [ "Floriment Klinaku","Julijan Katić","Sarah Sophie Stieß","Steffen Becker" ], "authors": [ {"first" : "Floriment", "last" : "Klinaku"}, {"first" : "Julijan", "last" : "Katić"}, {"first" : "Sarah Sophie", "last" : "Stieß"}, {"first" : "Steffen", "last" : "Becker"} ], "pages": "19-23","abstract": "Engineering cloud-native applications that provision resources autonomously to match the demand is a continuous and shared concern for stakeholders in the development process. Model-based performance engineering approaches help for up-front engineering of elasticity policies that control the adjustment of resources at runtime. Specifically, the Palladio approach allows stakeholders in the development process to model the application from various viewpoints and make performance predictions. This paper demonstrates Slingshot for designing elasticity policies for cloud-native applications. We make two contributions that build upon the Palladio approach. One contribution is a separate view-point for modeling elasticity policies for cloud-native applications. The second contribution is the Slingshot simulator capable of predicting the performance of modeled elasticity policies.", "doi" : "10.1109/MODELS-C59198.2023.00012", "bibtexKey": "10350803" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/24a55a92bfdcaa7bb516957eeef4d2672/larsplate", "tags" : [ "2023","3D","cloud","iigs","point" ], "intraHash" : "4a55a92bfdcaa7bb516957eeef4d2672", "interHash" : "feae84561b6e1ef1837ff6c8f45cbb5c", "label" : "Patch-based M3C2: Towards lower-uncertainty and higher-resolution deformation analysis of 3D point clouds", "user" : "larsplate", "description" : "", "date" : "2023-11-13 09:27:38", "changeDate" : "2023-11-13 09:27:38", "count" : 3, "pub-type": "article", "journal": "International Journal of Applied Earth Observation and Geoinformation", "year": "2023", "url": "https://www.sciencedirect.com/science/article/pii/S156984322300359X", "author": [ "Yihui Yang","Volker Schwieger" ], "authors": [ {"first" : "Yihui", "last" : "Yang"}, {"first" : "Volker", "last" : "Schwieger"} ], "volume": "125","pages": "103535","abstract": "Multi-temporal acquisitions of 3D point clouds for geomonitoring tasks allow the quantification and analysis of geometric changes of monitored objects by advanced processing algorithms, further revealing the underlying deformation mechanism. Among numerous approaches proposed in the geoscientific domain for point cloud-based deformation analysis, multiscale model-to-model cloud comparison (M3C2) has been widely applied to quantify the distances between two point clouds with high surface roughness. Deformations under complex topographies, however, are still challenging to be accurately quantified and analyzed by a statistical significance test when using standard M3C2, for (1) average positions in the cylindrical neighborhoods may deviate from the actual surface and (2) empirical uncertainties represented by local roughness are overestimated in highly variable areas. Besides, the spatial resolution of derived deformations is limited by original point densities and algorithm limitations. In this article, we propose an alternative called patch-based M3C2, which inherits the basic framework of standard M3C2 for its simplicity. This novel data-driven approach does not need surface meshing and the identification of semantic or instance correspondences in point clouds. Lower uncertainty is achieved by generating locally planar patches and projecting measurements on associated patch planes, allowing better detection of small deformations in complex 3D topographies. Besides, patch-based M3C2 could assign a deformation value to any position within the overlapping areas, enabling a higher spatial resolution of deformation analysis. Our approach is demonstrated and evaluated on three datasets. The experimental results indicate that patch-based M3C2 exhibits higher accuracy on distance calculations between two surfaces.", "issn" : "1569-8432", "doi" : "https://doi.org/10.1016/j.jag.2023.103535", "bibtexKey": "YANG2023103535" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2e00fa3d81780f21150e535375e2ff96f/klinaku", "tags" : [ "applications","cloud","computing","elasticity","performance","policies","resilience","scaling","threshold-based" ], "intraHash" : "e00fa3d81780f21150e535375e2ff96f", "interHash" : "900e91c3ad76b5560302094c8505c382", "label" : "Architecture-based Evaluation of Scaling Policies for Cloud Applications", "user" : "klinaku", "description" : "", "date" : "2022-01-13 13:37:49", "changeDate" : "2022-01-13 12:37:49", "count" : 1, "pub-type": "inproceedings", "booktitle": "2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)", "year": "2021", "url": "", "author": [ "Floriment Klinaku","Alireza Hakamian","Steffen Becker" ], "authors": [ {"first" : "Floriment", "last" : "Klinaku"}, {"first" : "Alireza", "last" : "Hakamian"}, {"first" : "Steffen", "last" : "Becker"} ], "pages": "151-157", "doi" : "10.1109/ACSOS52086.2021.00035", "bibtexKey": "9659505" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2383c923318f6bcaefdf91c1a178c16be/huanzhou", "tags" : [ "Cloud","Container","HPC","Kubernetes","Singularity","TORQUE","computing","manager","orchestration","workload" ], "intraHash" : "383c923318f6bcaefdf91c1a178c16be", "interHash" : "ac38d3139f68dcaadd304edb415638a7", "label" : "Container orchestration on HPC systems through Kubernetes", "user" : "huanzhou", "description" : "", "date" : "2021-10-11 10:46:24", "changeDate" : "2021-10-11 08:46:24", "count" : 5, "pub-type": "article", "journal": "Journal of Cloud Computing","publisher":"SpringerOpen", "year": "2021", "url": "", "author": [ "Naweiluo Zhou","Yiannis Georgiou","Marcin Pospieszny","Li Zhong","Huan Zhou","Christoph Niethammer","Branislav Pejak","Oskar Marko","Dennis Hoppe" ], "authors": [ {"first" : "Naweiluo", "last" : "Zhou"}, {"first" : "Yiannis", "last" : "Georgiou"}, {"first" : "Marcin", "last" : "Pospieszny"}, {"first" : "Li", "last" : "Zhong"}, {"first" : "Huan", "last" : "Zhou"}, {"first" : "Christoph", "last" : "Niethammer"}, {"first" : "Branislav", "last" : "Pejak"}, {"first" : "Oskar", "last" : "Marko"}, {"first" : "Dennis", "last" : "Hoppe"} ], "volume": "10","number": "1","pages": "1--14", "bibtexKey": "zhou2021container" } , { "type" : "Publication", "id" : "https://puma.ub.uni-stuttgart.de/bibtex/2adbbdbfe88b9746f33c46a65ea574bd2/lizhong", "tags" : [ "Agriculture","Big","Cloud","Data","HPC","myown" ], "intraHash" : "adbbdbfe88b9746f33c46a65ea574bd2", "interHash" : "bd53714ab9ef67023ab2682d5d2cd69d", "label" : "Converging HPC, Big Data and Cloud technologies for precision agriculture data analytics on supercomputers", "user" : "lizhong", "description" : "", "date" : "2021-07-15 12:35:39", "changeDate" : "2021-07-15 10:54:00", "count" : 4, "pub-type": "proceedings", "booktitle": "15th Workshop on Virtualization in High-Performance Cloud Computing (VHPC'20)","publisher":"Springer LNCS", "year": "2020", "url": "", "author": [ "Yiannis Georgiou","Naweiluo Zhou","Li Zhong","Dennis Hoppe","Marcin Pospieszny","Nikela Papadopoulou","Kostis Nikas","Orestis Lagkas Nikolos","Pavlos Kranas","Sophia Karagiorgou","Eric Pascolo","Michael Mercier","Pedro Velho" ], "authors": [ {"first" : "Yiannis", "last" : "Georgiou"}, {"first" : "Naweiluo", "last" : "Zhou"}, {"first" : "Li", "last" : "Zhong"}, {"first" : "Dennis", "last" : "Hoppe"}, {"first" : "Marcin", "last" : "Pospieszny"}, {"first" : "Nikela", "last" : "Papadopoulou"}, {"first" : "Kostis", "last" : "Nikas"}, {"first" : "Orestis Lagkas", "last" : "Nikolos"}, {"first" : "Pavlos", "last" : "Kranas"}, {"first" : "Sophia", "last" : "Karagiorgou"}, {"first" : "Eric", "last" : "Pascolo"}, {"first" : "Michael", "last" : "Mercier"}, {"first" : "Pedro", "last" : "Velho"} ], "eventtitle" : "International Supercomputing Conference - 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