Context-Aware Personalization for Smart Mobile Cloud Services

  title={Context-Aware Personalization for Smart Mobile Cloud Services},
  author={Waldemar Hummer and Stefan Schulte},
  booktitle={ICSOC Workshops},
The advent of the Internet of Things and the increasing sensorization of smart devices that surround us in our everyday lives are spurring the demand for context-aware applications to offer personalized services. With the rapid advances in sensor technology, distributed software architectures and backend infrastructures need to be able to systematically deal with increasing amounts of real-time context data. In this paper, we present an approach for intelligent service clouds to cater for the… 

EdgeBox: Confidential Ad-Hoc Personalization of Nearby IoT Applications

The results show real-time capabilities with an acceptable overhead, enabling a novel and confidential way to ad hoc personalize a user's dynamic environment in everyday life, supporting several assistant use cases.

An Overview of Main IoT Trends Applied to Business and Marketing

Based on the literature review, six business trends in the IoT era are identified: personalization, interaction, integration, analytics, monitoring, and protection.

On personalized cloud service provisioning for mobile users using adaptive and context-aware service composition

An integrated framework for enhancing personalized mobile cloud-services, based on a composition approach that adapts context information using a common model of service metadata specification is proposed.

A Service Framework for Smart Mobility Scenarios

A software framework aiming at service consumption in Smart Mobility scenarios is presented, which features specific functionalities for such scenarios, taking into account both functional and non-functional requirements.



A survey of context data distribution for mobile ubiquitous systems

A unified architectural model and a new taxonomy for context data distribution are presented by considering and comparing a large number of solutions and some of the research challenges still unsolved are drawn and identify some possible directions for future work.

A service-oriented middleware for building context-aware services

PerCAS: An Approach to Enabling Dynamic and Personalized Adaptation for Context-Aware Services

A novel model-driven approach to developing and executing personalized context-aware services that are able to adapt to a specific user's adaptation needs at runtime, called PerCAS is proposed.

A survey on context-aware systems

Common architecture principles of context-aware systems are presented and a layered conceptual design framework is derived to explain the different elements common to mostcontext-aware architectures.

Using Semantic Web for Mobile Services Personalization

An architecture for personalization of mobile services is described where semantic web technologies representing person-profiles are utilized and a developed ontology that covers personal information and food information is based on personas and scenarios from the food shopping domain.

The Internet of Things: A survey

Strategies for Context-Adaptive Message Dissemination in Vehicular Ad Hoc Networks

An altruistic communication scheme which differentiates data traffic according to the benefit it is likely to provide to potential recipients is proposed and a system for calculating and leveraging message benefit and two different node architectures are presented.

Contextualised Security Operation Deployment Through MDS@run.time Architecture

A MDS@run.time architecture is proposed, coupling Model Driven Security (MDS) and Models@ run.time approaches, so that security policies are interpreted at runtime by a security mediator depending on the context.

An ontology for context-aware pervasive computing environments

An inference engine for reasoning with information expressed using the COBRA-ONT ontology and the ongoing research in using the DAML-Time ontology for context reasoning are described.

A data-oriented survey of context models

This survey has the goal to provide a comprehensive evaluation framework, allowing application designers to compare context models with respect to a given target application, and stress the analysis of those features which are relevant for the problem of data tailoring.