Former Projects

CloudAware

A System Software Infrastructure for Mobile Cloud Computing

Abstract

During the last years, the use of mobile devices has changed dramatically. For instance, todays smartphone users expect to have full access to their own data (irrespective of, e.g., time and space restrictions) and expect to be able to use almost every kind of application on their mobile device. However, despite constant and significant evolution, mobile devices are still and will always be limited in terms of computational power, storage, bandwidth and energy. Mobile cloud computing tries to face these restrictions by providing cloud resources to mobile devices.
This project aims to align existing concepts of distributed systems to the domain of mobile cloud computing. As mobile environments often face the obstacles of a quickly changing context, proven solutions for distributed systems cannot be employed right away. Specifically, this research addresses the enhancement of the so-called offloading-decision in mobile environments. In this project, concepts for context-adaptive application architectures are proposed in order to allow mobile devices to benefit from available cloud resources. In addition, a corresponding middleware is developed in order to evaluate these concepts.
CloudAware focuses on context adaptation, which is the consideration of not only current, but also future context states by forecasting them through learning from context information, acquired through the various physical and logical sensors of mobile devices. Through this research, it is also intended to provide common app-developers with the ability to benefit from opportunistic resource sharing with an almost hands-free approach.

Publications of Project

2021		Gabriel Orsini, Wolf Posdorfer, Winfried Lamersdorf Saving Bandwidth and Energy of Mobile and IoT devices with Link Predictions In: Journal of Ambient Intelligence and Humanized Computing
2018		Gabriel Orsini, Dirk Bade, Winfried Lamersdorf Generic Context Adaptation for Mobile Cloud Computing Environments (extended version) In: Journal of Ambient Intelligence and Humanized Computing
		Gabriel Orsini, Dirk Bade, Winfried Lamersdorf CloudAware: Empowering Context-Aware Self-Adaptation for Mobile Applications In: Transactions on Emerging Telecommunications Technologies
2016		Gabriel Orsini, Dirk Bade, Winfried Lamersdorf CloudAware: A Context-adaptive Middleware for Mobile Edge and Cloud Computing Applications In: 2016 IEEE 1st International Workshops on Foundations and Applications of Self* Systems (FAS*W)
		Gabriel Orsini, Dirk Bade, Winfried Lamersdorf Generic Context Adaptation for Mobile Cloud Computing Environments In: The 11th International Conference on Future Networks and Communications (FNC 2016) / The 13th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2016) / Affiliated Workshops, August 15-18, 2016, Montreal, Quebec, Canada
2015		Gabriel Orsini, Dirk Bade, Winfried Lamersdorf Computing at the Mobile Edge: Designing Elastic Android Applications for Computation Offloading In: 8th IFIP Wireless and Mobile Networking Conference, WMNC 2015, Munich, Germany, October 5-7, 2015
		Gabriel Orsini, Dirk Bade, Winfried Lamersdorf Context-Aware Computation Offloading for Mobile Cloud Computing: Requirements Analysis, Survey and Design Guideline In: The 10th International Conference on Future Networks and Communications (FNC 2015) / The 12th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2015) / Affiliated Workshops, August 17-20, 2015, Belfort, France
		Gabriel Orsini, Dirk Bade, Winfried Lamersdorf CloudAware: Towards Context-adaptive Mobile Cloud Computing In: IFIP/IEEE International Symposium on Integrated Network Management, IM 2015, Ottawa, ON, Canada, 11-15 May, 2015

8. October 2024 at 11:37 by Prof. Dr. Winfried Lamersdorf

2017		Bachelorarbeit of Yannic Kitzky Kontextbezogenes mobiles Cloud Computing: Entwicklung einer komponentenbasierten Anwendung zur Gesichtserkennung Supervisors: Gabriel Orsini, Fabian Panse
		Master Thesis of Xiao Han Concept, Design and Implementation of a Distributed Machine Learning System Tutor: Kai Jander Supervisors: Winfried Lamersdorf, Gabriel Orsini
		Master Thesis of Rena Sharma Dienstsuche in mobilen Umgebungen Tutor: Gabriel Orsini Supervisors: Winfried Lamersdorf, Dirk Bade
		Master Studie of Cherina Tratzky Anforderungsanalyse und Bewertung von Verfahren zur Dienstsuche in mobilen Umgebungen Tutor: Gabriel Orsini Supervisor: Winfried Lamersdorf
2016		Bachelorarbeit of Anne-Victoria Meyer Kontextbezogene Energiegewinnung mobiler Geräte Supervisors: Gabriel Orsini, Dirk Bade
		Bachelorarbeit of Fabian Besner Analyse des Energieverbrauchs mobiler Anwendungen Supervisors: Gabriel Orsini, Dirk Bade
		Master Thesis of Sangines Füchtner Jorge Daniel Konzeption einer Partitionierungsstrategie für verteilte Applikationen im mobilen Cloud Computing Tutor: Gabriel Orsini Supervisors: Winfried Lamersdorf, Frank Heitmann
		Bachelorarbeit of Claas Brüggemann Kontextbasierte Ausführungsstrategien im mobilen Cloud Computing Tutor: Gabriel Orsini Supervisors: Winfried Lamersdorf, Dirk Bade
		Bachelorarbeit of Ersin Yildrim Link prediction in mobile environments using applied predictive analytics Tutor: Gabriel Orsini Supervisors: Winfried Lamersdorf, Walid Maalej
		Bachelorarbeit of Thorsten Hellmann Analyse und Evaluation verschiedener Architekturen im mobilen Cloud Computing Tutor: Gabriel Orsini Supervisors: Winfried Lamersdorf, Dirk Bade
2015		Bachelorarbeit of Nico Pohl Kontextabhängiges mobiles Cloud Computing – Eine komponentenbasierte Architektur zur Bilderkennung Tutor: Gabriel Orsini Supervisors: Winfried Lamersdorf, Dirk Bade