Academia.eduAcademia.edu

Outline

Title
Abstract
Figures
Introduction
Previous Definitions
Discussion
Conclusion and Further Work
References

A service oriented definition of context for pervasive computing

Profile image of Moeiz MiraouiMoeiz Miraoui

2007, Proceedings of the 16th International Conference on Computing, IEEE computer society press (to appear), Mexico city, Mexico

Abstract

In pervasive computing, a set of smart devices communicate and collaborate together in order to provide adapted services to the user and applications, and help the former in his everyday life tasks. To adapt provided services, devices must be context-aware, which requires a good understanding and use of context. This term is still general, vague and doesn't help developer of context-aware applications in spite of the large number of proposed definitions. In this paper, we provide a service based definition of context that is abstract enough to be used in pervasive computing and limit the set of information required to make service adaptation. We use some scenarios to make clear our definition. We present also a new definition of context-awareness and a categorization of context based on the concept of service, which seems, to us, a fruitful approach in pervasive computing. Finally, we discuss our approach and contribution.

Figures (2)
‘igure 1. Components of a pervasive system: The change ir value of x; will trigger service. The change in value of y; will change the form of service. We define context in pervasive computing as follows:
‘igure 1. Components of a pervasive system: The change ir value of x; will trigger service. The change in value of y; will change the form of service. We define context in pervasive computing as follows:
Figure 4. Transition diagram of scenario 3. These scenarios show that using the approach based on service will characterize contextual information in an easier manner and limit contextual information to those required to services adaptation.
Figure 4. Transition diagram of scenario 3. These scenarios show that using the approach based on service will characterize contextual information in an easier manner and limit contextual information to those required to services adaptation.

Related papers

A Context-Aware System Based on Service-Oriented Architecture
Elvis Silva

2006

Advances in mobile devices, sensors and wireless networks have motivated the development of contextaware applications. Such mobile applications use sensors for monitoring several features such as: location, temperature, velocity, weather, traffic jam, noise, air pollution, and so on. This monitoring enables service provision according to a given context. These applications are known as context-aware systems. Context-aware applications are sensible to user necessities, personalized according to his profile, requirements and context. They evaluate user environment and push information that is relevant to user context. In this paper we present Omnipresent, which is a service-oriented architecture for contextaware applications. Omnipresent may be accessed from either mobile devices or Web browsers, and it is based on Web services and well-established standards for LBS applications such as those proposed by the OpenGeoSpatial Consortium. Omnipresent offers several services: map presentation, routing, advertisement, and also works as a reminder tool.

View PDFchevron_right
Modeling and using context in adapting applications to pervasive environments
Dejene Ejigu Dedefa

Pervasive Services, 2006

With an increasing diversity of pervasive computing devices integrated in our surroundings and increasing mobility of both users and hardware, it will be important for computer systems and applications to be context-aware. Lots of works have already been done in this direction on how to capture context data and how to carry it to the application. Among the remaining challenges are to create the intelligence to analyze the context information and deduce the meaning out of it, and to integrate it into applications. Our work focuses on these challenges by defining generic context storage and processing model and studying its impact on the application core. We propose a reusable context ontology model that is based on two levels: a generic level and a domain specific level. We also propose an adaptation strategy to guarantee the adaptation of applications to context. Our case study shows that our context model and application adaptation strategies provide promising service architecture.

View PDFchevron_right
A model-based approach to context management in pervasive platforms
German Vega

2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), 2016

Pervasive computing envisions environments where computers are blended into everyday objects in order to provide added-value services to people. This new form of computing gives rise to huge economical and societal expectations. However, pervasive applications raise major challenges in term of software engineering and remain hard to develop, deploy, execute and maintain. Context-awareness, in particular, is a salient and difficult property that must be met by pervasive applications. In this paper, we propose a service-oriented framework facilitating the design and execution of a context management module in pervasive platforms. Our approach is illustrated with a smart home example and implemented on top of iPOJO, the Service-Oriented Component Model of our pervasive platform iCasa.

View PDFchevron_right
Context Modelling and Management in Ambient-Aware Pervasive Environments
Ioanna Roussaki

Lecture Notes in Computer Science, 2005

Services in pervasive computing systems must evolve so that they become minimally intrusive and exhibit inherent proactiveness and dynamic adaptability to the current conditions, user preferences and environment. Context awareness has the potential to greatly reduce the human attention and interaction bottlenecks, to give the user the impression that services fade into the background, and to support intelligent personalization and adaptability features. To establish this functionality, an infrastructure is required to collect, manage, maintain, synchronize, infer and disseminate context information towards applications and users. This paper presents a context model and ambient context management system that have been integrated into a pervasive service platform. This research is being carried out in the DAIDALOS IST Integrated Project for pervasive environments. The final goal is to integrate the platform developed with a heterogeneous all-IP network, in order to provide intelligent pervasive services to mobile and non-mobile users based on a robust context-aware environment.

View PDFchevron_right
Context-Aware Paradigm for a Pervasive Computing Environment (Capp)
Dr. Farrukh Kamran

2007

Pervasive Computing integrates numerous, casually accessible and inexpensive mobile devices with traditional distributed systems. The foremost issue of pervasive computing is Context-Awareness. Context-Aware Paradigm for Pervasive Computing Environments (CAPP) is a Service Oriented Architecture (SOA) that enhances smart service discovery in a pervasive environment. Objective of CAPP is to deliver the best service available, among a pool of similar services, to the mobile user. The system gathers the low-level service and user contexts and interprets both these contexts into the high-level ‘Who’, ‘What’, ‘Where’ and ‘When’ contexts. The interpreted high-level context is then used to discover the best available service for the user. The effectiveness of CAPP is measured in terms of success and failures where success is the systems ability to select an appropriate service from a pool of similar service to the user, based on the contexts. The projected success rate of the test cases is ...

View PDFchevron_right
Developing context-aware pervasive computing applications: Models and approach
Jadwiga Indulska

Pervasive and Mobile Computing, 2006

There is growing interest in the use of context-awareness as a technique for developing pervasive computing applications that are flexible, adaptable, and capable of acting autonomously on behalf of users. However, context-awareness introduces a variety of software engineering challenges. In this paper, we address these challenges by proposing a set of conceptual models designed to support the software engineering process, including context modelling techniques, a preference model for representing context-dependent requirements, and two programming models. We also present a software infrastructure and software engineering process that can be used in conjunction with our models. Finally, we discuss a case study that demonstrates the strengths of our models and software engineering approach with respect to a set of software quality metrics.

View PDFchevron_right
Context-Aware Computing: A Guide for the Pervasive Computing Community
Patrick Brezillon

The IEEE/ACS International Conference on Pervasive Services

There is a high interest on context-aware computing expressed by the pervasive computing community, which considers context as a key to design more adaptive applications. Due to this interest, a huge amount of contributions have been made in the field as we can notice from the increasing amount of publications on context and context-aware computing. However, the user interested in integrating context in its specific application will rapidly find himself in a jungle of various tools and techniques. This paper aims at structuring this information by providing a survey on the main context-aware categorization, acquisition and modeling techniques. "Main" refers to the most promising techniques in terms of their genericity in a way that they can be used in various application domains. This work tends to provide a guide for the pervasive computing community in order to select the best technique to use in a specific application or -more interesting-to justify the development of a new one.

View PDFchevron_right
Service-oriented Context-aware Framework
Balázs Pataki

Electronic Proceedings in Theoretical Computer Science, 2009

Location-and context-aware services are emerging technologies in mobile and desktop environments, however, most of them are difficult to use and do not seem to be beneficial enough. Our research focuses on designing and creating a service-oriented framework that helps location-and context-aware, client-service type application development and use. Location information is combined with other contexts such as the users' history, preferences and disabilities. The framework also handles the spatial model of the environment (e.g. map of a room or a building) as a context. The framework is built on a semantic backend where the ontologies are represented using the OWL description language. The use of ontologies enables the framework to run inference tasks and to easily adapt to new context types. The framework contains a compatibility layer for positioning devices, which hides the technical differences of positioning technologies and enables the combination of location data of various sources.

View PDFchevron_right
Context analysis approach for context aware applications deployed on pervasive environments
MOHAMED JMAIEL

EAI endorsed transactions on context-aware systems and applications, 2015

The increase of mobile and interconnected devices leads to the growth of demands for context aware applications. These applications deployed on top of pervasive environments must adapt themselves to context changes. Context aware applications have to continuously sense their physical environment, and adapt their behavior accordingly. These applications must perform four phases starting by collecting and monitoring context, then analyzing context, deciding adaptation actions and finally executing the planned adaptation actions to deal with the context changes. In this paper, we focus on the second phase.We propose a context analysis approach that relies on different thresholds defined according to the user needs to detect context changes and raise notifications when changes occur. The analysis approach is performed according to three different steps. A context storage step, a context classification step, and a threshold calculation step.

View PDFchevron_right
A service-oriented middleware for building context-aware services
Tao Gu

Journal of Network and Computer Applications, 2000

The advancement of wireless networks and mobile computing necessitates more advanced applications and services to be built with context-awareness enabled and adaptability to their changing contexts. Today, building context-aware services is a complex task due to the lack of an adequate infrastructure support in pervasive computing environments. In this article, we propose a Service- Oriented Context-Aware Middleware (SOCAM) architecture for

View PDFchevron_right

References (18)

  1. G. Chen, D. Koltz, "A survey of context-aware mobile computing research," Department of Computer Science, Dartmouth College, Technical report 2000.
  2. B. Schilit, N. Adams, and N. Want. "Context-aware computing applications." Proceedings of the IEEE Workshop on Mobile Computing System and Application, pages 85-90, December 1994.
  3. B. Schilit and M. Theimer. "Disseminating active map information to mobile hosts." IEEE Nenvork, 8(5):22- 32, 1994.
  4. P. J. Brown, "The stick-e document: A framework for creating context-aware applications." In Proceedings of the Electronic Publishing, Palo Alto, pages 259-272.
  5. P. J. Brown, J. D. Bovey, and X. Chen. "Context-aware applications: from the laboratory to the marketplace." IEEE Personal Communications, 4(5):58-64, 1997.
  6. N. Ryan , J. Pascoe, D. Morse, "Enhanced Reality Fieldwork: the Context-Aware Archeological Assistant," Computer Applications in Archeology, 1997
  7. Ward, A. Hopper, "A New Location Technique for the Active Office", IEEE personnal Communications, 1997, p. 42-47.
  8. J. Pascoe, "Adding Generic Contextual Capabilities to Wearable Computers", 2nd International Symposium on Wearable Computers, 1998, p. 92-99.
  9. A. Schmidt, K. A. Aidoo, A. Takaluoma, U. Tuomela, K. Van Laerhoven, and W. Van de Velde. Advanced interaction in context. Proceedings of First biteniarional Symposium on Handheld and Ubiquitous Computing (HUC99), pages 89-101, 1999.
  10. P. Brézillon and J. C. Pomerol. Contextual knowledge sharing and cooperation in intelligent assistant systems. Le Travail Humain, 62(3):223-246, 1999.
  11. A. K. Dey, "Understanding and using context," Personal and ubiquitous computing, Vol. 5, pp. 4-7, 2001.
  12. D. Salber, "Context-awarness and multimodality", Colloque sur la multimodalité, Mai 2000, IMAG, Grenoble.
  13. K. Henricksen, J. Indulska, and A. Rakotonirainy. "Modeling context information in pervasive computing systems." Pi-oceedings of Pervasive 2002, (Zurich, Switzerland): 167-180, 2002.
  14. Brézillon, P., Borges, M.R., Pino, J.A., Pomerol, J.Ch.: Context-Awareness in Group Work: Three Case Studies. Proc. of 2004 IFIP Int. Conf. on Decision Support Systems (DSS 2004), Prato, Italie, Juillet, 2004
  15. D. Petrelli, E. Not, C. Strapparava, O. Stock, M. Zancanaro. "Modeling Context is Like Taking Pictures." CHI2000 Workshop, 2000.
  16. J. Gwizdka, "What's in the context?, " In proceedings of workshop on context-awareness (CHI'2000), 2000.
  17. T. Hofer, W. Schwinger, M. Pichler, G. Leonhartsberger & J. Altmann, '' Context-awareness on mobile devices - the hydrogen approach. In Proceedings of the 36th Annual Hawaii International Conference on System Sciences, pages 292-302. 2002
  18. M. A. Razzaque, S. Dobson & P. Nixon, "Categorization and modeling of quality in context information, " In proceedings of the IJCAI 2005 Workshop on AI and Automatic communications, 2005.

Related papers

Context Modeling and Context-Aware Service Adaptation for Pervasive Computing Systems.
Moeiz Miraoui, Chokri Ben Amar

International Journal of Computer & Information Science & Engineering 2 (3), 2008

Devices in a pervasive computing system (PCS) are characterized by their context-awareness. It permits them to provide proactively adapted services to the user and applications. To do so, context must be well understood and modeled in an appropriate form which enhance its sharing between devices and provide a high level of abstraction. The most interesting methods for modeling context are those based on ontology however the majority of the proposed methods fail in proposing a generic ontology for context which limit their usability and keep them specific to a particular domain. The adaptation task must be done automatically and without an explicit intervention of the user. Devices of a PCS must acquire some intelligence which permits them to sense the current context and trigger the appropriate service or provide a service in a better suitable form. In this paper we will propose a generic service ontology for context modeling and a context-aware service adaptation based on a service oriented definition of context.

View PDFchevron_right
Issues for context services for pervasive computing
Guerney Hunt

2001

Context-aware computing has the potential to greatly alleviate the human attention bottleneck. To facilitate the development of context-aware applications, we envision a context service that provides standardized support for applications. It supports both synchronous queries and asynchronous event notifications. It also addresses privacy concerns by providing controls that allow people to limit the release of their context information.

View PDFchevron_right
Hybrid approach to collaborative context-aware service platform for pervasive computing
Dejene Ejigu Dedefa, Lionel Brunie

Journal of computers, 2008

The behavior of pervasive applications depend not only on their internal state and user interactions but also on contexts sensed during their execution. In this work, we present a collaborative context-aware service platform based on hybrid context management model (enhanced CoCA). It performs reasoning and decisions based on context data, context semantics, and related rules and policies. Such data is organized into a hybrid context management model (HCoM). The platform also introduces a neighborhood collaboration mechanism to facilitate peer collaboration in order to share their resources. We have developed an initial prototype of the platform. Our preliminary test shows that the platform is a promising data independent development environment for pervasive context-aware applications and it possesses good standard of scalability.

View PDFchevron_right
A comprehensive context modeling framework for pervasive computing systems
George A . Papadopoulos

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2008

Context management in pervasive computing environments must reflect the specific characteristics of these environments, e.g. distribution, mobility, resource-constrained devices, or heterogeneity of context sources. Although a number of context models have been presented in the literature, none of them supports all of these requirements to a sufficient extent at the same time. In this paper, we present a comprehensive and integrated approach for context modeling in pervasive computing environments. It combines the advantages of existing approaches and addresses the need for supporting effective software development. The proposed context model follows an ontology-based approach and has three layers of abstraction, i.e. conceptual layer, exchange layer, and functional layer. This layered approach facilitates a model-driven development of context-aware applications. Throughout the paper we compare our solution with the related work in order to clearly demonstrate why we needed to develop a new context management framework and where we have adopted existing ideas.

View PDFchevron_right
CoCA: A Collaborative Context-Aware Service Platform for Pervasive Computing (PDF)
Dejene Ejigu Dedefa

2007

A growing interest for pervasive applications and the concern that users should not be disturbed by such services while they are on their regular duty have introduced several new challenges. The behavior of these applications should depend not only on their internal state and user interactions but also on contexts sensed during their execution. In this work, we propose a collaborative context-aware service platform (CoCA). The platform is data independent and can be used for context-aware application development in pervasive computing. It performs reasoning and decisions based on context data and domain based policies and semantics. Such data is organized into generic context management model (GCoM). The platform also introduces a neighborhood collaboration mechanism to facilitate peer collaboration between the pervasive devices in order to share their resources. We have developed an initial prototype of the platform. Our preliminary test on the prototype shows that the platform is a promising data independent development environment for pervasive context-aware applications.

View PDFchevron_right
580 California St., Suite 400
San Francisco, CA, 94104
© 2025 Academia. All rights reserved